is Professor of BioSemantics at the Human Genetics Department of Leiden University Medical Center and founder of the BioSemantics group. He was elected CODATA President in 2018. Next to his leading role in the research of the group, Barend plays a leading role in the international development of “data stewardship” for biomedical data. For instance, he was head-of-node of ELIXIR-NL at the Dutch Techcentre for Life Sciences (until 2015), is Integrator Life Sciences at the Netherlands eScience Center, and board member of the Leiden Center of Data Science. In 2014, Barend initiated the FAIR data initiative and in 2015, he was appointed Chair of the European Commission's High Level Expert Group for the “European Open Science Cloud”, from which he retired by the end of 2016. Presently, Barend is co-leading the GO FAIR initiative, an initiative to kick start dvelopments towards the Internet of FAIR data and services, which will
also contribute to the implementation of components of the European Open Science Cloud. The focus of the contribution of the BioSemantics group is on developing an interoperability backbone for biomedical applications in general and rare disease in particular.
is International Science Coordinator at the GO FAIR International Support and Coordination Office where he has been working with a diverse community of stakeholders to develop FAIR data and services. Erik is also a member of the Leiden Center for Data Science at Leiden University. Erik is an evolutionary biologist with long standing interests in data-intensive research. In addition to private consulting, he has held previous academic appointments at the University of California, Los Angeles, The Whitehead Institute for Biomedical Research at the Massachusetts Institute of Technology, Duke University, and The Santa Fe Institute.
an Associate Professor at the National Science Library, Chinese Academy of Sciences (NSLC) and School of Economics and Management, University of Chinese Academy of Sciences. She received PhD degree at the Institute of Botany, CAS (IBCAS) in 2006. Before joining in NSLC in 2015, she had been the head of the library of IBCAS for four years. She is currently the Managing Editor of Data Intelligence (DI) Journal. Her research interests focus on data journals, especially whether and how data journals foster and promote data sharing awareness and culture across communities.
is a postdoctoral researcher at the BioSemantics group, Human Genetics Department, Leiden University Medical Center, The Netherlands. She obtained her Bachelor and Master degrees at the Technical University of Denmark in 2009 and 2012, and her PhD degree at the Vrije Universiteit Amsterdam in 2019. Her research interests are to create interoperable FAIR rare disease data with the aim to learn more about cause, diagnosis and treatment.
Ricardo de Miranda Azevedo
is an independent and pragmatic researcher with a background in psychology and clinical epidemiology who is happy to work in multidisciplinary settings. He is a great multilingual communicator who is enthusiastic about scientific research but also for computers and teaching different topics. He is often labeled as a creative mind with a problem-solver attitude.
is a Senior Research Technical Manager in the eScience Lab, based in the Department of Computer Science at The University of Manchester. He is involved in numerous EU projects relating to aspects of FAIR and interoperability, particularly with respect to identifier systems and metadata. Nick previously worked at EMBL-EBI where he helped create the identifiers.org identifier resolution system. Nick holds a PhD in Biochemistry from the University of Southampton.
is a young developer specialized in creating tools and software for scientific researchers and academics. His current activities focus on delivering clean, tested and documented open-source code to help structuring metadata over the Web. Dominique's side activities focus on producing knowledge and scientific papers as well as representing the team in international conferences. He is passionate about computer (hardware, Web), science (biology and physics), video games and much more.
Simon J. Coles
is Professor of Structural Chemistry at the University of Southampton and Director of the UK National Crystallography Service. He has promoted open approaches to research and education in Chemistry for many years and is now also Director of the UK Physical Sciences Data-science Service.
holds a position as associate professor at the department of Medical Informatics in the Amsterdam Public Health Research Institute, Amsterdam UMC. His research focuses on semantic interoperability, both from a technical perspective and from a user's point of view, including natural language processing. Ronald is involved in health care information standardization, among others as member of the Dutch, European (CEN) and global (ISO) standardization committees on health informatics. He is also involved in SNOMED International, which is responsible for maintenance and further development of SNOMED CT. He chairs the IMIA working group on Language and Meaning in Biomedicine, and participates in various international projects including FAIR4Health and European Joint Programme Rare Diseases (EJP-RD).
is a Metadata Standards coordinator at EMBL-EBI, where her team designs tools to streamline multi-omics submissions and develops integrated metadata strategies across the institute's archival resources and other projects such as FAIRPlus and CINECA, focusing on semantic enrichment and harmonization for pharmaceutical and cohort data, respectively. In the context of GA4GH which she joined in 2016, Mélanie co-leads groups working on data access and encoding as well as clinical and phenotypic standards.
is Harvard University's Research Data Officer, with Harvard University Information Technology (HUIT), and Chief Data Science and Technology Officer at Harvard's Institute for Quantitative Social Science (IQSS). In her role at HUIT, Dr. Crosas provides leadership to mature Harvard's data management and governance practices. She works in close collaboration with key constituencies in Research, Information Technology, and the Library to coordinate support for the data lifecycle and guide university policy, process, and procedures for research data. Dr. Crosas brings to this role a wealth of experience in data management architecture and international community data standards as well as the vision to make data more accessible for research while preserving privacy.
is the Distinguished Professor of Data Science at Maastricht University and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research focuses on the development of computational methods for scalable and responsible discovery science. Previously at Stanford University, Dr. Dumontier now leads the interfaculty Institute of Data Science at Maastricht University to develop socio-technological systems for accelerating scientific discovery, improving human health and well-being, and empowering communities with ethical data-driven decision making.
is Professor of Computer Science at The University of Manchester. Over the past 25 years Carole has pursued research interests in the acceleration of FAIR scientific innovation through: distributed computing, workflows and automation; knowledge management and the Semantic Web; social, virtual environments; software engineering for scientific software; and new models of scholarship for data-intensive science. Carole has served on numerous committees and currently serves in the G7 Open Science Working Group as the UK expert. In 2008 she was awarded the Microsoft Jim Gray e-Science award for contributions to e-Science and in 2010 was elected a Fellow of the Royal Academy of Engineering. In 2014 she was awarded the Commander of the Order of the British Empire for services to Science.
is currently a professor of computer science and head of the Conceptual and Cognitive Modeling Research Group (CORE) at the Free University of Bozen-Bolzano, Italy. He has a PhD in Computer Science (with the highest distinction) from the University of Twente, The Netherlands. He has been working for more than two decades in the interplay between formal and applied ontology, cognitive science, philosophical logics, linguistics, and computer science (in particular, in the areas of conceptual modeling, enterprise modeling and knowledge representation). He has published circa
270 papers, many of which have received best paper awards in important conferences. He has also played a multitude of roles in key conferences in the field (e.g., general chair, program committee chair, and keynote speaker). Finally, he is an associate editor for the Applied Ontology journal, member of a number of international journal editorial boards, and
of the Advisory Board of the International Association for Ontology and its Applications (IAOA).
is a Lecturer and Researcher at Insight Centre for Data Analytics, National University of Ireland Galway (NUIG). Before joining DERI, Hasnain completed a master's degree in “Engineering and Management of Information Systems” from Royal Institute of Technology, KTH, Stockholm, Sweden. He received another master's degree from the same University in “Project Management and Operational Development”. Career spans over five years of experience in Software industry and more than a decade in academia at various positions. It includes work experience as Lecturer, Senior Researcher, Project Manager and lead scientist. Teaching responsibilities at NUI Galway includes mentoring and co-supervising master's and PhD students. With strong scientific publishing record the list of selected Scientific Publications in the Field of Computing, Data Analytics, Software Engineering and Data Science positively reviewed and published at world
renowned Journals and conferences can be seen at: https://goo.gl/eYNoas
(around 650 citations). Ali Hasnain is the Program Committee Member of international conferences and workshops e.g, VOILA-ISWC and KESW. He remained involved in organizing workshops and tutorial at K-Cap 2015 and SWAT4LS 2015–2018 for international audiences. His current research interests include: FAIR DATA, Open Data, Big Data, Semantic Models, Data Cataloging/Linking, Visual Interfaces and Data Integration.
Kristina Hettne, PhD
, is a Digital Scholarship Librarian at the Centre for Digital Scholarship, Leiden University Libraries in Leiden, The Netherlands. At the Centre, she helps researchers navigate Open Science and shape the future of research data management. She is the Centre's liaison with GO FAIR and part of the FAIR Convergence Matrix development team for optimizing the reuse of existing FAIR-related resources. She obtained her PhD degree in bioinformatics of toxicogenomics from the University of Maastricht in 2012. She is a review editor for “Frontiers in Big Data”, member of the Advisory Board of the Wiley journal Genetics & Genomics Next
, and co-author of more than 30 research publications.
is full professor of Bioinformatics and director of the Centre for Integrative Bioinformatics (IBIVU) at Vrije Universiteit of Amsterdam, The Netherlands. Heringa has been scientific co-director of the Netherlands Bioinformatics Centre (NBIC) from 2009–2013. He has served as deputy Head of Node of ELIXIR-NL from 2013–2016, and since April 2016 as its Head of Node. Since 2014 he has been director of the Netherlands Bioinformatics and Systems Biology Research School (BioSB) and as of January 2016 he has been scientific lead of the Dutch Techcentre for Life Sciences (DTL). Heringa has been executive editor of Molecular Data Science
since 2018 and became head of the Department of Computer Science at Vrije Universiteit in that same year. His areas of research are Bioinformatics and Systems Biology, while current research interests revolve around formal modeling strategies, new sequence analysis strategies, protein
structure and interaction prediction, cancer-related data integration, and semantic Web-based data stewardship and data-tools interoperability.
is Manager of the Dutch tasks in the European ELIXIR infrastructurefor life science data, at the Dutch Techcenter for Life Sciences (DTL). After working for many years in the industry, Rob moved back to the academic world and joined the Netherlands center for Bioinformatics, NBIC, as CTO for the service-directed program. Via a two-year excursion to the Netherlands eScience Center from where he ran the data program of DTL he is now working for DTL itself. Rob has been building up a body of knowledge on FAIR research data stewardship since early 2014. Rob also represents ELIXIR relations in the Research Data Alliance.
authored reports on FAIR Data and Data Stewardship practices in The Netherlands for SURF and the Dutch National Contact Point for Research Data Management, LCRDM. As a consultant with a strong international network in the area of Open Science, FAIR Data and Digital Cultural Heritage, Melanie is experienced in project management and engaging stakeholders from different domains, and a known advocate for Open Science practices.
is an independent consultant working on EPOS, ENVRIplus and ENVRIFAIR as well as on advanced CLOUD computing and Virtual research Environments. He is past Director IT at STFC with 360,000 users, 1,100 servers and 140 staff. Keith holds three honorary visiting professorships, is a Fellow of the Geological Society and the British Computer Society, a Chartered Engineer & IT Professional and an Honorary Fellow of the Irish Computer Society. Keith is past-President of ERCIM and euroCRIS, and serves on international expert groups, conference boards and assessment panels. He had advised government on IT. He chaired the EC Expert Groups on GRIDs and on CLOUD Computing.
was born in Pondicherry, India. He received a B.Tech degree in Biomedical Engineering from Pondicherry University, India in 2008 and an M.Sc degree in Biomedical Engineering from Linköping University, Sweden in 2011. In 2012 he joined the department of Computer and Information Science, Linköping University as a software engineer. During this time he developed methods and tools to align and repair ontologies. In 2013 he joined the Biosemantics group, Leiden, in the Netherlands as a software developer. His current research activities include investigating the use of semantic Web technology in the context of FAIR data and developing prototypes to demonstrate the use of FAIR data.
is a PhD candidate at the Department of Medical Informatics in the Amsterdam UMC in collaboration with Electronic Data Capture platform Castor EDC. He has a background in Medical Informatics and his research focuses on the creation of a scalable solution that will aid in the standardization of medical research data.
is an assistant professor at the Computer Science department of the VU University Amsterdam. After receiving his PhD at the Institute of Computational Linguistics of the University of Zurich in 2010, he worked at the University of Malta, Yale University, and ETH Zurich. His research interests span fields including knowledge representation, controlled natural language, socio-technical systems, and scholarly communication. His recent work focuses on the approach of nanopublications, how cryptographic methods and provenance modelling can support trust and reliability, and how this can support the initiatives around the FAIR principles for data management.
is currently the work at the Head of the Research Unit at the University of Barcelona's Learning and Research Resources Centre (CRAI) where he also leads the Office for the Dissemination of Knowledge. He is currently chairing the Board of SPARC Europe and he is a member of the Steering Committee of the Info and Open Access Policy Group at the League of European Research Universities (LERU). He is the co-author of the LERU Roadmap for Research Data and the LERU Roadmap on Open Science. He has participated in several research projects including LEARN, a EU H2020 project focused on helping research performing institutions in managing their research data.
holding a master degree in landscape planning and in geoinformatics, has 24 years of experience working in the field of GIS, landscape ecology modelling and database management for projects operating at different scales. Her interests and formation moved in the last years also towards ontology engineering and process facilitation, abilities she could already apply in several national and European semantic projects. She had been working for the University of Natural Resources and Applied Life Sciences, the University of Vienna and since December 2007 for the Federal Environment Agency (Umweltbundesamt GmbH) where she undertakes the function of a semantic analyst and database designer. She was involved in FP7 and H2020 projects as facilitator in the development process of terminologies like SERONTO and EnvThes. She has experience as work package lead related to data management, in the design of UML models and XML schemas in the air quality data
reporting area, in the design of semantic models in projects related to Environmental Research Infrastructures (ENVRI).
holds a 1st class BSc (Hons) degree in Genetics from the University of Leeds (2000) and a PhD (2004) in Drosophila neurodevelopment from the University of Cambridge. Peter has spent over 15 years working in the fields of bioinformatics, biocuration and data wrangling, first as a genetic literature curator at FlyBase, the premier database on drosophila genes and genomes, and then as part of the Data Readiness Group at the Oxford e-Research Centre. As part of the Data Readiness Group, Peter leads the FAIRsharing project. FAIRsharing is a manually curated, searchable portal of interlinked standards, databases and policies, from all domains.
is an E-Research librarian at University of Notre Dame's Navari Family Center for Digital Scholarship where she helps pioneer and provide research data consulting services, including more in-depth data management services in support of grant-funded research. She serves as an ambassador and advisor to groups and individuals regarding data and digital content management. She provides advice & works with units across campus and externally to provide collaborative, team-based support for reproducible research, data management and software preservation needs, as well as data and metadata services for the Navari Center for Digital Scholarship.
is the Program Manager at the Health Research Board (HRB). She is responsible for developing and managing a portfolio for health research careers in order to develop a coordinated approach to building capacity in health research in Ireland. She has developed a framework promoting the training, support and career development of academic researchers and health practitioners with the long-term goal of training individuals as collaborative researcher in order to generate ideas and undertake research, drive the integration of research and evidence into policy and practice, thus improving decision-making and, ultimately, health outcomes and creating a wider impact in society. Annalisa is also deeply involved in promoting open science, FAIR data and research data stewardship through several international collaborations. Annalisa had many years of experience in scientific research in in Italy, England and Ireland. She has a BSc from Palermo
University in Italy and a PhD in cancer biology from the Institute of Molecular Medicine in Oxford, UK.
Mirjam van Reisen
is Professor International Relations, Innovation and Care at Tilburg University and Professor Computing for Society at Leiden Centre for Data Science, at the University of Leiden. Van Reisen is Research Leader of the Globalization, Accessibility, Innovation and Care (GAIC) network. Van Reisen is the Coordinator of the Go-FAIR Implementation Network Africa. Van Reisen is a member of the Dutch Advisory Council on International Affairs (AIV) and Chair of the Development Assistance Committee (COS). Van Reisen leads the oganisation EEPA in Brussels. She is a member of the Board of Philips Foundation and the SNV Netherlands Development Organisation. Van Reisen received the Golden Image Award in 2012 by President Ellen Johnson Sirleaf.
, after an engineering degree from University of Rennes, received his PhD in Molecular Genetics from University of Bordeaux. He worked at EMBL-EBI in helping establish the European microarray archive. He has 10 years of practice in data management and has been an active member of several standardization efforts, aiming at promoting open data and open science vision. He is technical coordinator of the ISA project, part of the OBO Foundry editorial board and participates in resource development as part of the OBI project.
is an Associate Professor at Department of Software Engineering, Faculty of Information Technologies of Czech Technical University in Prague, Czech Republic, where he founded “Centre for Conceptual Modelling and Implementation”, a group focusing on research, development and applications of methods and tools for ontological engineering, enterprise engineering, software engineering and data stewardship. Robert Pergl is a National Node Committee member of ELIXIR Czech Republic. He is a member of several GO FAIR initiatives and projects and together with Rob Hooft he leads the Data Stewardship Wizard development. Contribution: Leading the authors' team and authoring process, communications author, copy-editing and quality assurance, Data Stewardship Wizard details.
is an Associate Director, Associate Professor and Principal Investigator at the Oxford e-Research Centre, part of the Department of Engineering Science at the University of Oxford. She is one of the authors of the FAIR principles and an active contributor to a variety of community-driven FAIR-enabling efforts. Her group researches and develops methods and tools to improve data reuse, for data transparency, research integrity and the evolution of scholarly publishing: https://sansonegroup.eng.ox.ac.uk
Luiz Olavo Bonino da Silva Santos
is the International Technology Coordinator of the GO FAIR International Support and Coordination Office, and Associate Professor of the BioSemantics group at the Leiden University Medical Centre in Leiden, The Netherlands. His background is in ontology-driven conceptual modelling, semantic interoperability, service-oriented computing, requirements engineering and context-aware computing. In the last five years Luiz has been involved in a number of activities to realize the FAIR principles, including the development of a number of technologies and tools to support making, publishing, indexing, searching and annotating FAIR (meta)data.
In a 20-year career specializing in metadata, ontologies and discovery, Juliane Schneider
has worked in start-ups, on Wall Street in an insurance library, at New York University medical center, for EBSCO publishing, and at The University California, San Diego in the Research Data Curation Program. Her longest stint at any job was the six years she spent at Countway Library as the Metadata Librarian, and now she has returned to Harvard as the Team Lead/Lead Data Curator for Harvard Catalyst.
George O. Strawn
is currently the director of the Board on Research Data and Information at the National Academies of Sciences, Engineering, and Medicine where he focuses on Open Science and FAIR data. Prior to joining the Academies, Dr. Strawn was the director of the National Coordination Office (NCO) for the Networking and Information Technology Research and Development (NITRD) Program and co-chair of the NITRD interagency committee.
is a senior research scientist in the Biosemantics group at the Human Genetics department of Leiden University Medical Centre. He obtained a PhD in Computer Science from the University of Amsterdam in 2012. He has expertise in hardware and software architecture (co-) design, data management, data modeling, FAIR data infrastructure and computational aspects of knowledge discovery.
is working at the German Climate Computing Center (DKRZ) in the area of e-infrastructures. Tobias has worked extensively on Digital Object and Persistent Identifier services in multiple contexts, including community cyberinfrastructures (ESGF, ENVRI) and cross-disciplinary infrastructures (EUDAT, EOSC). He has co-chaired multiple working groups of the Research Data Alliance (RDA) to convene on technical recommendations in the area of identifiers, metadata and related e-infrastructures services. Tobias is editorial board member of the CODATA Data Science Journal and member of the RDA Technical Advisory Board. Tobias holds a PhD from University of Hamburg in computer science.
Mark D. Wilkinson
is Fundacion BBVA Chair in Biotechnology and Isaac Peral Distinguished Researcher at the Center for Plant Biotechnology and Genomics, Technical University of Madrid. For the past 15 years, his laboratory has focused on designing biomedical data/tool representation, discovery, and automated reuse infrastructures – what would now be called “FAIR”. He is lead author of the primary FAIR Data Principles paper, and lead author on the first paper describing a reference implementation of those principles over legacy data. He is a founding member of the FAIR Metrics Authorship Group, tasked with defining the precise, measurable behaviors that FAIR resources should exhibit. Beyond FAIR, his laboratory also studies the application of Artificial Intelligence techniques to the problem of microbiome engineering.
Egon L. Willighagen
is applying cheminformatics and chemometrics to biological questions as Assistant Professor at Maastricht University. He has been promoting Open Science for many years and is Editor-in-Chief of the Journal of Cheminformatics
was Executive Director of Research Data Alliance (RDA) Europe, Member of RDA Technical Advisory Board, and Scientific Coordinator of European Data Infrastructure (EUDAT). He set up and led the Technical Group with about 30 experts at Max Planck Institute (MPI) for Psycholinguistics and then led the Language Archiving Group with about 25 experts. Since 2000 he has played leading roles in a variety of European (funded by the European Commission) and national projects (funded by MPS, DFG, BMBF, NWO 23) and ISO initiatives (ISO TC37/SC4). He won the Heinz Billing Award of the MPS for the advancement of scientific computation in 2011 and received an honorary doctorate from University Tübingen in 2013.
is assistant professor and group leader of the Biosemantics group of the Leiden University Medical Centre (Human Genetics Department). The group is known for co-founding and advocating the FAIR data principles. His research focus is on making state-of-the-art computer science applicable to enhance biomedical research (e-Science), particularly the application of computational knowledge discovery and linked data techniques to address translational research challenges of rare human diseases. At an international level, Marco is focused on the implementation of FAIR principles to create a powerful substrate and worldwide robust infrastructure for knowledge discovery across distributed rare disease data resources.
spent the last 10 years at the European Bioinformatics Institute (EMBL-EBI) working with multiple data integration and infrastructure projects. During her time at the EMBL-EBI, she led the Identifiers.org
resource, which provides stable identifier resolution for life science data and beyond. She was also involved in the Data Commons Pilot Phase Consortium on globally unique identifiers (GUIDs), the Elixir Interoperability Platform on BioSchemas and Identifiers, the FORCE11 Data Citation Implementation Pilot on Identifiers and the EU FREYA Project on identifier services. From September 2019, she will be joining DataCite as Head of Infrastructure Services.
is a Technical Architect in the eScience Lab, based in the Department of Computer Science at The University of Manchester. Since 2006 he has worked as a software engineer and researcher focusing on reproducibility, scientific workflows, interoperability, linked data, metadata and open science. He is a persistent advocate of Open Scholarly Communication, and is on the leadership team of the Common Workflow Language and on the Project Management Committee of several open source projects at the Apache Software Foundation. He co-created the Research Object model, contributed to the W3C provenance model PROV-O and multiple Linked Data initiatives. He is co-chair of the Research Object Crate team.
is an Identifier Systems Architect at the California Digital Library. With a background in computer science and mathematics, he wrote BSD Unix software that comes pre-installed with Mac and Linux systems. He created the ARK identifier scheme, the N2T.net scheme-agnostic resolver, and contributed heavily to Internet standards for URLs (RFC1736, RFC1625, RFC2056), archiving (BagIt – RFC8493), Web archiving (WARC), and Dublin Core metadata (RFC2413, RFC2731).
is Associate Professor of Public Health Sciences, Associate Professor of Neurology (by courtesy), and Associate Research Director for Neuroinformatics in the Data Science Institute, at the University of Virginia. He holds a PhD in Computer Science from The University of Manchester. His research interests include biomedical knowledge representation, computational models of evidence, cloud computing, and neuroscience.
is deputy leader of the eScience working group of the GWDG, a joint compute and IT competence center of the university and the Max Planck Society, and leads there the data management activities of GWDG. He has a doctoral degree in mathematics and has a long lasting background in scientific computing. Ulrich Schwardmann is working with persistent identifiers as enabling technology for research data management since almost ten years. He is speaker of the management board of ePIC, the Persistent Identifier Consortium for eResearch, and is DONA-MPA System Administrator for GWDG. His current research interests include Digital Object Interface Protocol, PID Information Types and Data Type Registration, PID profiles and policies.
leads the Geoscience Analytics Team in the Mineral Resources Unit of the Commonwealth Scientific and Industrial Research Organization (CSIRO). Jens' work focuses on data in minerals exploration, investigating the digital value chain from data capture to data analysis and decision making. This value chain includes automated data and metadata capture, sensor data integration, both in the field and in the laboratory, data processing workflows, and data analysis by statistical methods, machine learning and numerical modelling. Jens obtained degrees in geology and oceanography from the University of Cape Town, South Africa, and received his PhD in marine geology from the University of Bremen, Germany.
is a computer scientist at the German Climate Computing Center (DKRZ) within the data management group. For years, Sofiane has been working on scientific workflow management systems, service orchestration and workflow modeling. After joining DKRZ, he focused more on the development of software tools for the climate community related to the management of persistent identifiers and Handle servers in the EUDAT project. Currently, Sofiane is a deputy leader in the EOSC-HUB project. He is responsible of designing, implementing and deploying reliable and user-friendly compute services to scientists related to the climate domain. Sofiane holds a PhD in computer science from the University of Hamburg, Germany.
is the Associate Director of the Science Gateways Research Center with the Pervasive Technology Institute at Indiana University. Rob has been working with interoperability of international cyberinfrastructure for more than 15 years. This includes holding the position of Chief Operations Officer for the Open Science Grid and managing the XSEDE Science Gateways Support Services. In recent years he has turned his focus from interoperability of research computing infrastructure to data interoperability. This includes NSF funding (NSF #1659310 and #1839013) to create and operate the Robust Persistent Identification of Data (RPID) testbed which provides a set of testbed services to allow researcher to implement the FAIR principles within the Digital Object Architecture. Rob holds a degree in Physics from Purdue University.
, PharmD, II level post-graduate Master in Regulatory Sciences “G. Benzi” at University of Pavia, Researcher at Fondazione per la Ricerca Farmacologica Gianni Benzi Onlus. She is involved in scientific and regulatory activities, in particular related to data protection and confidentiality, plan and management of patient registries and medicine databases management. ENCePP WG3 member.
, PharmD, PhD in pharmacology, post-graduate master in Clinical Research of Medicines, Senior Researcher at Fondazione per la Ricerca Farmacologica Gianni Benzi Onlus and Head of the Research Department. Her main areas of expertise are: ethics and regulatory, non-clinical and clinical research, clinical studies application, pharmacology, orphan medicines and paediatric research. She is patient representative at Paediatric Committee, European Medicine Agency (EMA), and member of WP4 Ethics Working Group of EnprEMA.
, Biomedical engineer, II level Master in Health Technology Assessment and Management, President of Fondazione per la Ricerca Farmacologica Gianni Benzi Onlus. Member of the HTA working group of the Regional Agency for Health and Social issues AReSS Puglia; expert of the Health Department of the Basilicata Region. At the Benzi Foundation, he is project manager and WP leader in several research projects and Head of the IT & Research Laboratory.
is a Senior Scientist in the Data Science group at TNO, and Professor of Emerging Technologies at the Institute for Data Science, Maastricht University, The Netherlands. His PhD was in ontology learning from text from the University of Sheffield. His main research interests are the application of semantic technologies and more generally artificial intelligence (AI) to supply chains and the agri-food sector, and the ethical and social implications of the widespread use of data science and AI.
Barry Nouwt (MSc)
is a medior Scientist in semantic technology at TNO within the Data Science department. He obtained a BSc degree in Computer Science from the Saxion University of Applied Sciences and an MSc degree in Artificial Intelligence at Utrecht University in 2008. Until 2015, he worked with SemLab B.V. on commercial applications of natural language processing (NLP) and Semantics, primarily in the Financial and Government domain. At TNO, Barry's research activities center around ontologies, model-driven development and semantic reasoning with a focus on increasing the value of formalized domain knowledge.
is specialized in machine learning-based natural language processing. He received his PhD on information geometry for kernel machines from Tilburg University in 2009. At TNO, he works on a variety of artificial intelligence-related topics, including explainable deep learning. Recently, he has been appointed as professor in Communicative AI at Leiden University.
is a Senior Scientist at TNO and is part of the Data Science department within TNO. His group focuses on semantic interoperability, i.e., the efficient and effective use of information technology (IT) for the cooperation and information sharing between organizations. He specializes in semantic technology, artificial intelligence (AI) reasoning and data analytics. Research topics include (1) knowledge modelling in ontologies, (2) semantic Web and reasoning technology for data integration and (3) data analytics technology for big data applications. He applies his knowledge in various industry sectors, among others agriculture, industry, defence and the electronic government domain.
is Professor of Algorithmic Data Science at the University of Amsterdam where he leads the Intelligent Data Engineering Lab (INDElab). He holds a PhD in Computer Science from the University of Southampton (2007). His research focuses on intelligent systems for dealing with large amounts of diverse contextualized knowledge with a particular focus on Web and science applications.
is DataCite's Community Engagement and Communications Director. She has committed to DataCite's mission of enabling data sharing and reuse and is especially passionate about data citation. Before joining DataCite, Helena worked as Senior Product Manager for Research Data Management Solutions at Elsevier. She holds a DPhil in Neuroscience from the University of Oxford.
is a software engineer associated with the Vrije Universiteit and the Biosemantics group at the Leiden University Medical Center. He has been working with pioneers in data sharing and interoperability standards since 2009, developing expertise in software design and architecture, semantic Web technology, and FAIR data infrastructure. His current activities involve the Personal Health Train (PHT) and broader the Internet of FAIR Data and Services (IFDS).
is a researcher at Fraunhofer Institute for Applied Information Technology and at the Department of Computer Science at RWTH Aachen University. Her research focuses on methods of data reusability and FAIR data, data-driven transformation and distributed analytics. Her area of expertise is in the semantic Web technologies and application of them in health care and life sciences. She actively contributes to the national and international initiatives to enable the adoption of FAIR principles and develops tools and infrastructures supporting FAIR data. With her interdisciplinary background in informatics, medical informatics and sociology, she developed a focus on societal reflections of data-driven change.
is a researcher and PhD Student at Clinical Data Science Group, Maastro Clinic, Maastricht University. Her research focuses on methods and infrastructure of privacy preserving distributed learning on clinical data, tools and methods for data FAIR-ification and learning models on FAIR data for improving patient care.
Johan van Soest
holds a PhD from Maastricht University on centralized and distributed learning of prognostic/predictive models in radiation oncology focusing on knowledge representation, methods for validation of existing models and translation into clinical practice. He is currently active as Postdoctoral Researcher in the Department of Radiation Oncology at MAASTRO clinic and the university's Institute of Data Science.
is a Chair for Applied Bioinformatics at the University of Tübingen, Director of the Institute for Translational Bioinformatics at University Hospital Tübingen, and a Fellow at the Max Planck Institute for Developmental Biology. The lab's current research focus is on developing methods and tools for the analysis of biomedical high-throughput data and their application in translational research.
is a research assistant and software developer at the Institute for Translational Bioinformatics at the University Hospital Tübingen with a background in Bioinformatics. His research interests currently focus on data integration and software design and quality in medical informatics.
is working at the Saarland University Medical Center coordinating the development and organizational set-up of a medical data integration center (meDIC) as well as supporting the Tübingen University Hospital in its meDIC work. His particular interest lies on the seamless integration of the multimodal, multilevel and multisource data from the plethora of clinical and research systems found within hospitals and medical centers to facilitate further biomedical research.
Md. Rezaul Karim
is a researcher at Fraunhofer FIT, Germany and a PhD candidate at RWTH Aachen University, Germany. He is working towards developing a distributed knowledge pipeline with knowledge graphs and neural networks towards making them explainable and interpretable. His research interests include machine learning, knowledge graphs, bioinformatics, and explainable artificial intelligence (XAI).
is the director of Fraunhofer FIT, Germany and Professor of Computer Science at RWTH Aachen University, Germany. He was the director of Insight Centre for Data Analytics, and professor of informatics at NUI Galway, Ireland between 2006 and 2015. His research interests include Semantic Web and linked data, knowledge representation, and neural networks.
is a board-certified medical physicist at MAASTRO Clinic and full professor at Maastricht UMC+ and Maastricht University where he holds the chair “Clinical Data Science”. His research focuses on three main themes: 1) building global FAIR data sharing infrastructures; 2) machine learning outcome prediction models from the data; 3) applying outcome prediction models to improve lives of patients. The main scientific breakthrough has been the development of a Semantic Web and ontology based data sharing and distributed learning infrastructure that does not require data to leave the hospital. This has reduced many of the ethical and other barriers to share data.
is a full Professor at the Laboratoire de Recherche en Informatique at Universite Paris-Sud. She holds a PhD in Computer Science and a Habilitation from the same university. She has been working for fifteen years in multi-disciplinary groups involving computer scientists and biologists of various domains. She spent two years as a postdoctoral researcher at the University of Pennsylvania, USA and 18 months at the Institute of Computational Biology (IBC) of Montpellier, France. Dr. Cohen-Boulakia's research interests include provenance and design of scientific workflows, reproducibility of scientific experiments, integration, querying and ranking in the context of biological and biomedical databases. She currently co-animates a National working group on reproducibility of scientific experiments and she is involved in the European Research Infrastructure ELIXIR (www.elixir-europe.org/
is a computer scientist at the Information Sciences Institute of the University of Southern California. His research activities focus on e-Science and the Semantic Web, specifically on how to increase the understandability of software and scientific workflows using their associated provenance, metadata and intermediate results. Daniel was a member of the W3C Provenance Working Group to develop a standard for provenance on the Web, and he is currently collaborating with domain scientists to ease the description and composition of software in environmental and social sciences.
is Director of Knowledge Technologies and Associate Division Director at the Information Sciences Institute of the University of Southern California, and Research Professor in Computer Science and in Spatial Sciences. She is also Associate Director of Interdisciplinary Programs in Data Science at USC. She received her M.S. and PhD degrees in Computer Science from Carnegie Mellon University, with a focus on artificial intelligence. Her research is on intelligent interfaces for knowledge capture and discovery, which she investigates in a variety of projects concerning knowledge-based planning and problem solving, information analysis and assessment of trust, semantic annotation and metadata, and community-wide development of knowledge bases. Dr. Gil collaborates with scientists in different domains on semantic workflows and metadata capture, social knowledge collection, computer-mediated collaboration, and automated discovery. She initiated and
chaired the W3C Provenance Group that led to a community standard in this area. Dr. Gil is a Fellow of the Association for Computing Machinery (ACM), and Past Chair of its Special Interest Group in Artificial Intelligence. She is also a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and was elected as its 24th President in 2016.
Michael R. Crusoe
is one of the co-founders of the Common Workflow Language project and the CWL Project Lead. His facilitation, technical contributions, and training on behalf of CWL draw from his time as the former lead developer of C. Titus Brown's k-h-mer project, his previous career as a sysadmin and programmer, and his experiences in various Free and Open Source Software communities. This is not Michael's first time working on a standards project as he was the technical author of the International Labour Organization's Seafarers' Identity Card (2003) standard which is in force and ratified by 32 countries. Currently based in Berlin, Germany; Michael has been living in Europe for the last 4 years where he has enjoyed partnering with ELIXIR, ASTRON, and the EOSCPilot to build collaborations across the continent and across the world.
is currently working at the Leibniz Institute of Plant Biochemistry. He is part of the Germany network of bioinformatic infrastructures (de.NBI) and is a member of the GoFAIR metabolomics implementation network and the societies NBS and BLAM e.V. which focus on bryophyte biology and ecology. As he has studied both Information Technology and Biology his research focus is mainly on interdisciplinarity and integrating the research fields biochemistry, bioinformatics and ecology. His expertise in data integration covers a wide range of topics, including cloud e-infrastructures, statistics, machine learning, chemical ecology and ecometabolomics, targeted and untargeted metabolomics, plant and vegetation ecology, bryophyte biology, macro- and microscopy and climate change biology. His current research activities focus on the integrative data analysis and characterisation of compound classes of rare species in ecological contexts, creating scientific
computational workflows for use cases in ecometabolomics and biomedicine, promoting the reproducibility and interoperability of software tools and the adoption of standardized research objects and formats.
, a trained neurobiologist, did his PhD in medical knowledge engineering at Charité Hospital, Berlin. He mainly works in the areas of symbolic artificial intelligence, ontology engineering, policy management and data standard development. Aside his contributions to a multitude of description logics ontologies, he created best practices for the OBO Foundry (naming conventions) and developed open access XML standards for nuclear magnetic resonance data (nmrML). Foundational ontology research is done on the scale-dependency of ontologic top level categories, i.e. towards advanced physics concepts that emerge on the micro- and macrocosmic scale. Currently he investigates the impact of semantic and syntactic data standards in contribution to FAIR Data, in particular to Galaxy computational workflows. He has worked at the European Bioinformatics Institute in Cambridge, UK, then moved to IMBI Freiburg working on medical data integration and until
recently, he worked in the mass spectrometry and bioinformatics department of the Leibniz Institute for Plant Biochemistry in Halle, Germany.
is Director of Information Services and Vice President at the Corporation for National Research Initiatives (CNRI), where he works with organizations in both the public and private sectors to develop experimental and pilot applications of advanced networking and information management technologies. Mr Lannom's current work is focused on CNRI's Digital Object Architecture, which is based on the concept of the digital object, a uniform approach to representing digital information across computing and application environments, both now and into the future. Mr. Lannom joined CNRI in September of 1996. Prior to that, he was a Technical Director at DynCorp, Inc., where he served as an advisor on digital library research for the ISTO, CSTO, and ITO offices of the US Defense Advanced Research Projects Agency (DARPA), including initiating the Computer Science Technical Reports (CS-TR) project, DARPA's first effort in the digital library area. In addition,
he managed the development of internal information systems for DARPA. Originally trained as a librarian, his earlier work included reference book publishing and information retrieval research.
is currently head of the department for the development of international biodiversity research infrastructures at Naturalis Biodiversity Center, Coordinator of the new pan-European Research Infrastructure DiSSCo and chair of the COST Action Mobilize. He holds a PhD in plant systematics with post-doctoral expertise acquired in biodiversity informatics/e-taxonomy. He participates as a senior manager in many European projects in the areas of biodiversity data and infrastructures. He is former chair of the Biodiversity Information Standards (TDWG) organization and current member of the Technical Advisory Board of the Research Data Alliance (RDA). He is an invited lecturer on biodiversity infrastructures in European universities.
is Director of Informatics Projects in the School of Computer Science and Informatics at Cardiff University, where his leadership contributions in environmental, biodiversity and ecological informatics have spanned engineering of large-scale distributed computing systems (e-Infrastructures), curating scientific information in knowledge infrastructures, virtual research environments, and socio-technical issues of new technology adoption. Alex leads work in the EU Horizon 2020 ICEDIG project on “innovation and consolidation for large scale digitization of natural heritage”, a part of the Distributed System of Scientific Collections (DiSSCo) programme, where he is presently designing the global architecture for Digital Specimens and Collections. As a technical innovator, Alex has previously been responsible for the Biodiversity Virtual e-Laboratory (BioVeL), the Reference Model for research infrastructures for environmental sciences
(ENVRI RM), and the “Bari Manifesto” for an interoperability framework for Essential Biodiversity Variables (EBV). Alex is a Chartered Information Systems Professional Fellow of the British Computer Society (BCS) and Member of the Chartered Management Institute (CMI). Prior to joining Cardiff University in 2002, Alex worked as a consultant, systems engineer and software programmer in the telecommunications and defence industries.
Jeremy G. Frey
is a Professor of Physical Chemistry and leads the artificial intelligence (AI) for Scientific Discovery Network. For many years he has investigated and developed e-Science the way digital infrastructure can enhance the intelligent creation, dissemination and analysis of scientific data.
Stuart J. Chalk
is applying semantic data modelling approaches to represent experiment and computational scientific data. He is an advocate of open and FAIR data and a Titular member of the IUPAC Committee on Publications and Chemical Data Standards (CPCDS).
is the Senior Director for the American Geophysical Union's Data Leadership Program. She works with AGU's members, their organizations, and the broader research community to improve data and digital object practices with the ultimate goal of elevating how research data is managed and valued. Shelley's recent work includes being the program manager for the Enabling FAIR Data project engaging over 300 stakeholders in the Earth, space, and environmental sciences to make data open and FAIR targeting the publishing and repository communities to change practices by no longer archiving data in the supplemental information of a paper but instead depositing the data supporting the research into a trusted repository where it can be discovered, managed, and preserved.
Leah R. McEwen
is the Chemistry Librarian at Cornell University, where she manages digital library and information services for chemistry and related research and learning communities. She is an active volunteer in many chemistry organizations and is currently chair-elect of the Committee on Publications and Cheminformatics Data Standards of the International Union of Pure and Applied Chemistry. For the past several years, she has been building up a global community of stakeholders involved in chemical data publishing and sharing, including researchers, publishers, librarians, repositories, and software developers. She has worked across sectors and disciplines, connecting with other scientific unions and data initiatives to identify gaps and develop collective workflows to facilitate FAIR data exchange across the chemistry enterprise and beyond.
is an Adjunct Fellow with the National Computational Infrastructure at the Australian National University and the Australian Research Data Commons. She worked for Geoscience Australia from 1972 to 2014 in both scientific research (geochemistry and mineral systems) and in geoscientific data management. In geoinformatics her main interests are developing international standards that support the integration of Earth science datasets into transdisciplinary research projects and in developing seamless high-performance data sets that can be used in High Performance Computing environments. She is currently Chair of the Australian Academy of Science “National Data in Science Committee”. She was awarded the Australian Government Public Service Medal in 2014, the 2015 Geological Society of America Career Achievement Award in Geoinformatics and the 2019 US Earth Science Information Partners Martha Maiden Award.
Nancy J. Hoebelheinrich
is a founder and principal of Knowledge Motifs LLC, a company focused upon providing consulting, project management / coordination, grant writing and educational / training services to business, non-profit, and governmental organizations needing assistance in organizing, managing, archiving and preserving data. She has been involved in a number of projects focused upon managing data in leadership, coordination, community engagement, and education / training roles as both a volunteer and a contractor. Key projects including the Enabling FAIR Data project where she served as Co-Chair of the Technical Adoption Group for training on FAIR data, and the ESIP-hosted Data Management Training Clearinghouse where she is currently serving as Editor, and as Co-Investigator and Project Coordinator on a 3 year National Leadership Grant from the Institute of Museum and Library Services.
is Head of Strategic Partnerships at the Cambridge Crystallographic Data Centre (CCDC) which has been managing and curating scientific data for over 50 years. Ian himself has over 25 years' experience in the world of Chemistry and Informatics. He is an active participant in research data activities and initiatives through the Research Data Alliance and the World Data System and is involved in data-related activities of the International Union of Pure and Applied Chemistry (IUPAC). He is Secretary to the InChI Trust which oversees the maintenance and development of the IUPAC International Chemical Identifier. Ian's various roles at the CCDC have included software development and management of technical and scientific teams and projects. In his current role, he is responsible for shaping the CCDC's interactions with wider research data activities and communities.
is a researcher at the Oxford e-Research Centre currently working as a knowledge engineer with Professor Susanna-Assunta Sansone in the area of data management for biomedical sciences. He applies data analytic techniques to enrich data/publications repositories and platforms utilised under the FAIR (Findable, Accessible, Interoperable and Reusable) principle. Ramon has been working at the Oxford e-Research Centre since 2010, investigating in different areas such as energy analytics and computational linguistics. Before that, he worked at Department of computer Science, University of Oxford. He holds a Computer Science degree and ML master from the Universidad Politecnica de Valencia (Spain).
completed a BA (1997) in Biology and Ancient Mediterranean Civilisations from Rice University, an MSc (1999) in Computational Biology from the University of York and a PhD (2012) in Computer Science from Newcastle University. In 1999, she joined the European Bioinformatics Institute as a Software Engineer for UniProtKB, a protein sequence database. In 2006, she joined Newcastle University as a full-time Research Associate while completing her PhD in semantic data integration. Between 2012 and 2014, she also worked for the University of Manchester on various short-term ontology development projects. Allyson moved to the Oxford e-Research Centre in 2015 where she is currently working on the FAIRsharing project.
is a Professor of Bioinformatics in Centre for Systems and Synthetic Biology and Department of Computer Science at the University of London, His research interests include the analysis of transcriptomic data and the inference of regulatory gene networks; Protein-DNA interactions; expertise is in computational biology and statistics.
is currently one of the developers of BioSharing, as well as working on TeSS in collaboration with colleagues in Manchester. Previously, he developed the OBOE system for managing services to be used by Scratchpads, and prior to that was the Scientific Computing Support Specialist for Climateprediction.net responsible for server maintenance, software and infrastructure development. His scientific background is in biology and bioinformatics, and he is experienced in Linux system administration; he has a degree in microbiology and genetics from Dundee University, a D.Phil. in virology from Oxford University (supervised by the late Bill Hamilton) and previously qualified as an RHCE. Outside his scientific work he is involved in teaching and research into Historical European Martial Arts, having founded a school in 1999 and subsequently written a modern training manual based on Sir William Hope's 1707 fencing text. He has taught and competed at martial
arts events in the UK, US, Canada, Australia, Sweden, Austria and Germany.
Hana Pergl Sustkova
is the Operations Officer at the GO FAIR International Support and Coordination Office (GFISCO). Hana supports key activities of the GFISCO including the FAIR Convergence Matrix coalition coordination. Prior to joining the GFISCO, Hana worked as project manager for the ELIXIR research infrastructure, which marked her transition from an international corporation to the academic sphere. Her background is business administration and management.
got his Master's degree in Software Engineering at the Czech Technical University in Prague. He is now a PhD student there, focusing on evolvable systems and functional programming. He acquired hands-on experience from the industry while working as a senior developer for several startups with a wide range of technologies. He is also a member of ELIXIR-CZ Interoperability Platform where he works as a chief User Interface developer on the Data Stewardship Wizard. He collaborates with GO FAIR, building the FAIR Funding Ecosystem.
is Head of the Knowledge Infrastructures Research Group at the TIB Leibniz Information Centre for Science and Technology. He holds a PhD in Environmental Informatics from the University of Eastern Finland; a MSc in Environmental Science from the University of Eastern Finland; and a Diploma (MSc) in Informatics from the University of Zurich, Switzerland. His research interests lie at the intersection between research infrastructures and research communities, and how such infrastructures acquire, maintain, and share scientific knowledge about human and natural worlds.
is Professor of Biomedical Informatics and of Biomedical Data Science at Stanford University, where he is Director of the Stanford Center for Biomedical Informatics Research. Dr. Musen conducts research related to open science, intelligent systems, computational ontologies and biomedical decision support. His group developed Protégé, the world's most widely used technology for building and managing terminologies and ontologies. He has served as principal investigator of the National Center for Biomedical Ontology and of the Center for Expanded Data Annotation and Retrieval (CEDAR). Dr. Musen directs the World Health Organization Collaborating Center for Classification, Terminology, and Standards at Stanford University, which has developed much of the information infrastructure for the authoring and management of the 11th edition of the International Classification of Diseases (ICD-11). Dr. Musen was the recipient of the Donald A. B.
Lindberg Award for Innovation in Informatics from the American Medical Informatics Association in 2006. He has been elected to the American College of Medical Informatics, the Association of American Physicians, the International Academy of Health Sciences Informatics, and the National Academy of Medicine.
is project leader for FAIR data & data management at the Netherlands Organization for Health Research and Development (ZonMw). Margreet promotes creating and reusing FAIR data in several contexts: she develops innovative approaches and coordinates procedures for data management in ZonMw's research programs; at the National Platform Open Science, she is one of the project leaders for introducing open science in academia in the Netherlands. In the field of antimicrobial resistance, she is work package leader for Research Infrastructures at the Joint Programming Initiative Antimicrobial Resistance. Also, she participates in the international consortium VALUE-Dx for innovative diagnostic strategies for more personalized antibiotic therapy in community care settings. Finally, Margreet advises about the implementation of research findings from ZonMw funded projects into policy and practice. Margreet is trained as a biologist, and got her PhD in
developmental biology at the Hubrecht Institute in Utrecht, the Netherlands.
is the CEO and founder of Figshare, which he created whilst completing his PhD in stem cell biology at Imperial College London. Figshare currently provides research data infrastructure for institutions, publishers and funders globally. He is passionate about open science and the potential it has to revolutionize the research community. For the last eight years, Mark has been leading the development of research data infrastructure, with the core aim of reusable and interoperable academic data. Mark sits on the board of DataCite and the advisory board for Directory of Open Access Journals (DOAJ). He was on the judging panel for the National Institutes of Health (NIH), Wellcome Trust Open Science prize and acted as an advisor for the SpringerNature masterclasses.
joined Figshare as its first US-based employee in early 2014 to help researchers and organizations navigate trends in research data management. In his current role, he focuses on the development of Figshare community through engagement, strategic partnerships and educational outreach. Prior to working in the research data space at Figshare, Dan spent over 6 years at one of the largest scientific, technical, engineering and medical (STEM) publishers holding positions in editorial, trade publishing and electronic content licensing.
coordinates work on the DCC's Data Management Planning tool – DMPonline – and undertakes research on data policy and data management planning. Sarah is involved in several European Commission funded projects including, FOSTER+, OpenAIRE and Research Data Alliance Europe 4.0. Her work in a European context focuses primarily on training, data management planning and network building to facilitate open science. She co-chairs the RDA Active DMP Interest Group and the CODATA Working Group on Research Data Science schools. In a personal capacity, she is rapporteur on the European Commission's FAIR Data Expert Group and a member of the Open Science Transport Research Cloud Expert Group. In previous roles, Sarah led the Data Audit Framework project and Incremental. She worked in HATII at the University of Glasgow from 2006–2017, initially for the AHDS Performing Arts data centre and then for the DCC, and is now based in Glasgow
has been working as a researcher at SBA Research since October 2012. He received in 2011 his MSc in systems and computer networks from the Wroclaw University of Technology, Poland. In 2016 he received his PhD in computer science from the TU Wien for his work on verification and validation of scientific workflow re-executions. He was involved in preservation of business processes in the EU-funded FP7 project TIMBUS. Furthermore, he took part in the FP7 4C Project which aimed to clarify the costs of curation of digital assets. Currently, he is a chair of the DMP Common Standards working group at the Research Data Alliance (RDA) and a co-founder of RDA Austria. His research focuses on reproducibility of eScience experiments and machine-actionable data management plans. Topics of interests include, but are not limited to: experiment context modelling, verification and validation, data repository architectures and workflows, digital curation and
serves as the Coordination Officer for the Belmont Forum e-Infrastructures & Data Management Project. In that role, he coordinates and liaises with e-I & DM project leads, Action Theme co-leads, stakeholders, Advisory Group and Oversight Committee members, and international partners to encourage the adoption of data principles and best practices, promote effective data planning and stewardship, and develop training curricula to enable practitioners to put those principles and practices into action through Belmont Forum agency activities and funded projects. Prior to joining the Belmont Forum, Mr. Samors served as Senior External Relations Manager for the Group on Earth Observations (GEO) designing and implementing GEO's engagement strategy. He has worked closely with experts and global leaders in data and information issues across a range of governments and international scientific and technical organizations. His earlier positions have
included serving as Associate Vice President for Innovation and Technology Policy at the Association of Public and Land-grant Universities (APLU), as Associate Vice President for Federal Relations for the University of North Carolina System, and as Assistant Vice President for Research at the University of Michigan. He holds a Masters in Public Policy from the Harvard University Kennedy School of Government, and a B.A. in Economics from Brown University.
is an ecologist by training, with expertise in aspects of avian biology in tropical habitats. She studied birds in the Peruvian Amazon region combining both lab- and field-based research and received her PhD degree in Zoology with a certificate and concentration in Tropical Conservation and Development at the University of Florida in 2016. Judit then worked as a postdoctoral scholar at the Smithsonian Institute in Washington, DC, addressing conservation issues in agroecosystems in Colombia. She has become involved in local capacity building and community outreach both in the USA and Latin America and has mentored dozens of students to complete independent research projects. Her interests include increasing diversity and broadening participation in the sciences, sustainability science, science diplomacy, supporting open and reproducible research efforts, and communicating science to the public, especially in museum settings. As a AAAS Science &
Tech Policy fellow at the National Science Foundation, Judit is working on various international activities facilitating transdisciplinary global change research, including the advancement of e-infrastructures and data management planning.
was a project coordinator for the Belmont Forum e-Infrastructures and Data Management project, a three-year project (2016–2019) facilitating data sharing among teams performing research for the Belmont Forum, a coalition of major and emerging international funders of global environmental change research. She has been co-chair of the EarthCube Liaison Team (2018–2019) and a co-chair of the RDA Mapping the Data Landscape Interest Group (2017–2019).
was the Principal Investigator for the Belmont Forum's e-Infrastructures and Data Management Project, a three-year project (2016–2019) whose goal was to make operational the Belmont Forum Open Data Policy & Principles in its collaborative funding program. Funded by the US National Science Foundation and four other international science funding agencies, the e-I&DM project coordinated with numerous international data and research organizations to develop resources for data management planning and training for Belmont Forum's global environmental change community. She is currently the user engagement officer for the CyVerse project, a cyberinfrastructure platform for life sciences computational research based at the The University of Arizona in Tucson.
is the director of CESSDA ERIC, the Consortium of Social Science Data Archives, with its main office in Bergen, Norway. CESSDA is a European Infrastructure with 20 members (countries) and combines the work and expertise of these countries' social science data service providers, see www.cessda.eu
. On behalf of CESSDA, he is also the coordinator of the Social Sciences & Humanities Open Cloud project (SSHOC). He is a member of the European Open Science Cloud Executive Board and serves in several strategic advisory boards. Ron studied econometrics and worked for ten years in labour market research at Dutch universities. He was at the national research council for almost twenty years – running a data agency, program committees and in general management (institutes, infrastructure and open science). This included secondment to the Dutch government for project leadership
on Open Science of the Dutch EU Presidency in 2016 and as national expert at the European Commission in Brussels in 2017.
Associate professor Margareta Hellström
is a senior staff member at ICOS Carbon Portal, working with research data management issues such as Open Science, persistent identifiers, data citation and usage statistics and FAIR. She has represented ICOS in several Horizon 2020 projects, including ENVRI-FAIR where she leads the work package on FAIR training and skills development.
, PhD in Information Science of the Instituto Brasileiro em Informação em Ciěncia e Tecnologia (IBICT). She is a researcher and a professor at the Master and PhD courses in Information Science in IBICT and a professor of the Master Program in Library Science of The Universidade Federal do Estado do Rio de Janeiro (UNIRIO). She is the GO FAIR Brazil coordinator.
, PhD in Sciences-Information and Communication in Health of the Instituto de Comunicação e Informação Científica e Tecnológica (ICICT/FIOCRUZ). Professor of the Master Program in Library Science of The Universidade Federal do Estado do Rio de Janeiro (UNIRIO). She is the representative of the GO FAIR Brazil coordination office in The Netherlands.
, PhD in Sciences – Information and Communication in Health of the Instituto de Comunicação e Informação Científica e Tecnológica (ICICT/FIOCRUZ). She works at Fundação Oswaldo Cruz (FIOCRUZ) coordinating the FIOCRUZ libraries network. She is a professor at ICICT of Maters and PhD program and is the GO FAIR Brazil-Health coordinator.
Maira Murrieta Costa
, PhD in Information Science of the Universidade de Brasilia (UnB). She is the Technologist of the Ministério da Ciěncia, Tecnologia, Inovações e Comunicações (MCTIC). MCTIC Business Intelligence and Information Coordinator. She is responsible for drafting MCTIC Open Data Plan and MCTIC representative for National Open Data Infrastructure.
Luís Fernando Sayão
, PhD in Information Science of the Instituto Brasileiro em Informação em Ciěncia e Tecnologia (IBICT). He works at the Comissão Nacional de Energia Nuclear (CNEN). He is a member of Conselho Nacional de Arquivos (CONARQ). He is Professor of the Master Program in Library Science of the Universidade Federal do Estado do Rio de Janeiro (UNIRIO) and the Program in Memory and Collections of the Fundação Casa de Rui Barbosa.
Luís Ferreira Pires
, PhD in Electrical Engineering of the University of Twente. He is Associate Professor of the Faculty of Electrical Engineering, Mathematics and Computer Science, and member of the Services & Cyber-Security (SCS) group. He has co-authored more than 150 scientific publications and has contributed as PC member to various international conferences and is co-chair of the MODELSWARD conference.
is an Associate Professor at Tilburg University, Tilburg School of Humanities and Digital Sciences. She holds a Master of Science in Economic Psychology as well as Research Methods from Tilburg University and a PhD in Consumer Decision Making from Delft University of Technology. Stokmans is a member of the Research Network Globalisation, Accessibility, Innovation and Care. Her fields are the role of attitudes and emotions in human decision making, social processes for behavioral change and mixed method approaches to research.
is Professor and Research Chair at Great Zimbabwe University's Simon Muzenda School of Arts, Culture and Heritage Studies. He holds a PhD in Social Anthropology from the University of Cape Town, South Africa. He also holds three Masters Degrees in the areas of Philosophy, Social Anthropology and Development Studies. Mawere has participated in a wide range of research projects which include Culture and Heritage Sustainability in North-west Zimbabwe, Environmental Conservation in Southeastern Zimbabwe, and Health Services Utilisation in Masvingo, among many others. Mawere is an internationally renowned researcher and author, with over 75 books to his credit.
is currently pursuing a PhD in Computer Science at Leiden University Netherlands. Her topic is on “Designing a FAIR Data Point for Digital Health in Uganda”. Her main focus is on how data-integration through FAIR data supports overcoming lack of sustainability of Digital Health Solutions in Uganda. She holds a Master's degree in Advanced Computing Machine Learning, Data Mining and High Performance Computing from University of Bristol, UK. She also has a Bachelor's degree in Applied Computer Technology with a concentration of Software Engineering. Mariam is also a member of the African Women In IT Africa (AfricanWIT) Group whose aim is to accelerate the progress of the African Women in the field of Information Technology.
Antony Otieno Ong'ayo
is an academic Researcher at the International Institute of Social Studies of Erasmus University in The Hague. He holds a Bachelor degree in Political Science, a Master degree in Political Science (Politics and development) from the University of Stockholm, respectively and a PhD in Humanities (International Development) from Tilburg University. He is an associate researcher with Globalization, Accessibility, Innovation and Care (GAIC) and member of the Implementation network Go-FAIR Africa. His research interests are in the areas of politics of development, migration and development, digital citizenship and governance.
holds a PhD from Tilburg University, Netherlands where she defended her thesis titled Gender and Commodity Chain Analysis
. She holds a Master's (MA) and a Bachelor's in Development Studies from Mbarara University of Science and Technology. She is a senior lecturer, Mbarara University of Science and Technology in the Faculty of Interdisciplinary Training and Research, and senior lecturer at the Faculty of Social Sciences, Ndejje University, Uganda. She is a founding head of Department for Gender and Women Health Degree program at Mbarara University of Science and Technology.
oversees the San Diego Supercomputer Center's (SDSC) Research Data Services division, which manages infrastructure, networking, and services for research projects of regional and national scope. Kirkpatrick is a recognized expert in the implementation of research computing services, with an emphasis on data science workloads, as well as operational cyberinfrastructure (CI) at scale. Kirkpatrick founded and hosts the US GO FAIR Office at SDSC, is the Executive Director of the US National Data Service (NDS), and Co-PI and Deputy Director of the West Big Data Innovation Hub (WBDIH). She co-chairs the All (Big Data) Hub Infrastructure Working Group and is co-PI of the Open Storage Network. Kirkpatrick received her master's degree from the Jacobs School of Engineering at University of California San Diego. She serves on the Technical Advisory Board (TAB) for the Research Data Alliance (RDA), and the external Advisory Boards for the European
Open Science Cloud (EOSC) Hub and EOSC Nordic.
holds a Master of Commerce degree in Information Systems from Great Zimbabwe University (2015) and a BSc Information Systems Honours degree from Midlands State University (2006), in Zimbabwe. He is currently a lecturer at Great Zimbabwe University in Zimbabwe. His research interests are ICTs for Sustainable Development, Digital Healthcare Data Management, Interoperability of Heterogeneous Systems, and Governance of Web Based Technologies.
received his PhD in Biochemistry from Leipzig University. After postdoctoral visits to TU Dresden and CAS/MPG-PICB Shanghai, he joined the Theory Department at Fritz Haber Institute of the Max Planck Society in Berlin in 2010. Since 2013, he has been leading a research group that deals with accurate simulations of biomolecular structure and dynamics. Carsten teaches courses at Freie Universität Berlin and Leipzig University. In 2018, he got involved in the process of founding the association “FAIR Data Infrastructure for Physics, Chemistry, Materials Science and Astronomy e.V.” (in short: FAIR-DI, https://fairdi.eu
) and has since then developed an interest in data infrastructures and ontologies.
is the head of The Language Archive at the Max Planck Institute (MPI) for Psycholinguistics. He studied Sonology at the Royal Conservatory in The Hague, after which he worked as a music technologist within the Music, Mind, Machine research group at Radboud University. In 2003 he started working at the MPI for Psycholinguistics.
Herman van Vlijmen
graduated with a Master's degree in Bio-Pharmaceutical Sciences at Leiden University in The Netherlands and a PhD degree in Physical Chemistry at Harvard University. He worked nine years at the biotech company Biogen in the Boston area, ultimately as Senior Scientist, in the computational design of small molecule drugs and protein therapeutics. In 2005 he joined Tibotec, a Johnson and Johnson company focusing on infectious diseases, as Director of Computational Drug Design. He is now Head of Computational Chemistry in the Discovery Sciences organization at Janssen, Pharmaceutical companies of Johnson & Johnson, located in Belgium. Since 2008 he is also Adjunct Professor of Computational Drug Discovery at Leiden University. Herman has more than 70 peer reviewed publications and is inventor on eight patents. He is the Industry Project Leader of the IMI FAIRplus project, which is developing best practices in FAIRification of data from IMI
projects and internal pharma data.
is one of the founding partners of Phortos Consultants, a consultancy practice to academic institutions and private companies specializing in FAIR data and services solutions. Over the years Albert and his partners have founded and cofounded a number of start-ups in the field of bio-informatics & semantics, data integration and support, network solutions and big data solutions. One of them is Euretos, a platform provider for AI driven hypothesis generation and InSilico Target/Biomarker Discovery and Validation. Recently, Albert has been appointed International Project Manager GO FAIR running the global Business Development and coordinating the partners in the technical Implementation process lead. In addition he was a member of the writing team for the European Open Science Cloud Implementation movement “GOFAIR”. Albert also provides FAIR trainings focusing on FAIR Data Stewardship, Ontology and Semantic Modeling and related FAIR
services. Recently, in collaboration with the GO FAIR Foundation, Albert initiated (and now chairs) the GO FAIR Service Provider Consortium including, amongst others, Accenture, KPMG, Deloitte, and several SME's providing professional FAIR related consulting and implementations.
is a consultant for the Dutch National Health Care Institute with a background in Computer Science and Change Management. He has extensive experience with large implementations of data exchange programs in complex networks of public and private organizations within the Dutch healthcare. Since 2017 he has been working on both research and development of FAIR and the Internet of FAIR Data & Services, and the implementation of FAIR within programs run by the Dutch National Health Care Institute. His goal is to ensure data within healthcare are available to a wide range of stakeholders and can be interpreted by machines. This in turn will greatly increase the value of existing and emerging capabilities in the field of data science, ultimately resulting in better prevention and healthcare systems.
is one of the co-founders of Euretos, an AI platform used by (pre-)clinical researchers to take a in-silico, systems biology approach to the identification & validation of targets, biomarkers and indications. For the first two decades of his career, Arie has worked in various customer facing strategic innovation roles in the mobile telecoms and Internet infrastructure markets. In this high performance/high volume environment he has been developing analytics solutions that provide actionable insight to end users long before the term “big data analytics” became fashionable. Since 2010 Arie has been applying his expertise to the life sciences where has worked with some of the world's leading pharma, biotech and academic institutions to develop a data & AI driven approach to life sciences research.
is the Director of the GO FAIR Foudation (GFF). GFF supports the International GO FAIR Office, mainly in the area of paving the wave for implementing a coherent certification program. Bert is a senior business executive with a successful track record in Finance, Network, Information and Data technology. Bert has worked in a variety of management roles in different countries, mostly for American software companies. In addition, Bert has been the Secretary General of the International Factors Group, a consortium of finance companies where he implemented a successful worldwide data-exchange platform, based upon agreed network protocols and EDIFACT standards. Bert is a business economist, with an MBA from the Erasmus University in Rotterdam.
, PhD, DSM Biotechnology Center (The Netherlands), has a track record of more than 20 years working in the field of chemometrics and data science. His roots are in analytical chemistry for which he obtained a Bachelor's degree in 1992. Renger studied chemistry at the University of Nijmegen (Radboud University) which he finished in 1995. Subsequently he did his PhD at the University of Amsterdam in a collaboration with the steel company Corus. After a short appointment at the Central Bureau of Statistics (CBS) he obtained a position at TNO Quality of Life, Zeist where he worked in the field of chemometrics as Product Manager of the product group “Analytical Information Sciences” until 2009. In his current employment at DSM, Renger is active in the field of data science where he is involved in several projects to extract more value out of data and implement digital tools within a Biotechnology environment.
is Janssen's business technology leader for cheminformatics systems and Discovery Sciences globally, providing strategic technology partnership for 700 scientists, from medicinal chemistry, computational chemistry, data sciences, screening, compound logistics and Drug Metabolism and Pharmacokinetics. In this role he is responsible for developing and executing strategic plans for data-driven and compute-intensive research practices, initiating new projects and management of the overall portfolio of technology projects to enable small molecule discovery. Prior to joining Janssen, he was director of strategy and applied eScience at the Netherlands eScience Center in Amsterdam, enabling scientific IT approaches across Dutch academia. During this time, he participated in the original FAIR workshop and is a coauthor of the resulting publication setting out the FAIR principles. Scott's background is computer-aided drug discovery having spent fifteen years
applying computational chemistry approaches in pharma and consumer product organizations.
has over 12 years of experience in medicine, research and data management, and has been involved in several projects integrating complex and diverse data sources. He received his MD from Vrije University in 2011 and his PhD on decision support and machine learning from the University of Amsterdam in 2016. During his MD training, Dr. Arts identified a major problem in medical research. Due to the unavailability of affordable, user-friendly data capture tools, researchers were deviating to non-compliant alternatives that reduce data quality, security, and reusability, and greatly increase waste. To solve these core issues, he founded Castor, a research platform that enables researchers to easily capture, standardize and reuse medical research data. The platform is currently serving thousands of clinical studies, both commercial and academic, and has been integrated with EPIC and other EMR systems, using HL7 FHIR. Castor is capable of generating machine
readable data, which is one of the most promising capabilities for eClinical systems.
is Chief Technology Officer at Castor EDC. With a PhD in Medical Informatics and clinical research, Dr. Knijnenburg is dedicated to providing researchers with advanced software to improve healthcare and research quality. He is passionate about data standardization and FAIR data and implementing FHIR in the context of clinical research.
, senior IT manager, holds a degree in civil electrotechnical-mechinical engineering (major: electronics) and in civil biomedical engineering from the university of Leuven (Belgium). He obtained a PhD in applied sciences on medical image processing with applications in stereotactic neurosurgery (University hospital Gasthuisberg, Leuven) in 1996, awarded with the IBM Belgium prize for informatics. He continued in the same hospital as a post-doc in the radiotherapy department to establish a stereotactic radiosurgery capability. He joined Janssen Pharmaceutica in 1998 as a project manager in the IT department responsible for projects in bioinformatics, chemoinformatics and statistics for discovery research. He gained experience in clinical data management when he moved to Tibotec in 2008. Recently, he has been involved in the IMI/EMIF project (European Medical Information Framework) where he developed data harmonization methods based on semantic Web
technology. He is currently involved with the IMI FAIRplus project and with FAIR data and ontology management implementations in Janssen.
Karsten Kryger Hansen is research data management coordinator at Aalborg University, and works with RDM in a broad perspective, covering many aspects of the life cycle of research data. Daily activities ranges from institutional perspectives on data management with the focus of being a change agent, to everyday support for specific research projects.
© 2019 Chinese Academy of Sciences Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license
Chinese Academy of Sciences
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