Skip Nav Destination
Close Modal
Update search
NARROW
Format
Journal
Date
Availability
1-2 of 2
Ted Habermann
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Publisher: Journals Gateway
Data Intelligence (2024) 6 (2): 409–428.
Published: 01 May 2024
FIGURES
| View All (9)
Abstract
View articletitled, Sustainable Connectivity in a Community Repository
View
PDF
for article titled, Sustainable Connectivity in a Community Repository
ABSTRACT Persistent identifiers for research objects, researchers, organizations, and funders are the key to creating unambiguous and persistent connections across the global research infrastructure (GRI). Many repositories are implementing mechanisms to collect and integrate these identifiers into their submission and record curation processes. This bodes well for a well-connected future, but metadata for existing resources submitted in the past are missing these identifiers, thus missing the connections required for inclusion in the connected infrastructure. Re-curation of these metadata is required to make these connections. This paper introduces the global research infrastructure and demonstrates how repositories, and their user communities, can contribute to and benefit from connections to the global research infrastructure. The Dryad Data Repository has existed since 2008 and has successfully re-curated the repository metadata several times, adding identifiers for research organizations, funders, and researchers. Understanding and quantifying these successes depends on measuring repository and identifier connectivity. Metrics are described and applied to the entire repository here. Identifiers (Digital Object Identifiers, DOIs) for papers connected to datasets in Dryad have long been a critical part of the Dryad metadata creation and curation processes. Since 2019, the portion of datasets with connected papers has decreased from 100% to less than 40%. This decrease has significant ramifications for the re-curation efforts described above as connected papers have been an important source of metadata. In addition, missing connections to papers make understanding and re-using datasets more difficult. Connections between datasets and papers can be difficult to make because of time lags between submission and publication, lack of clear mechanisms for citing datasets and other research objects from papers, changing focus of researchers, and other obstacles. The Dryad community of members, i.e. users, research institutions, publishers, and funders have vested interests in identifying these connections and critical roles in the curation and re-curation efforts. Their engagement will be critical in building on the successes Dryad has already achieved and ensuring sustainable connectivity in the future.
Journal Articles
Publisher: Journals Gateway
Data Intelligence (2023) 5 (1): 6–26.
Published: 08 March 2023
FIGURES
| View All (20)
Abstract
View articletitled, Improving Domain Repository Connectivity
View
PDF
for article titled, Improving Domain Repository Connectivity
ABSTRACT Domain repositories, i.e. repositories that store, manage, and persist data pertaining to a specific scientific domain, are common and growing in the research landscape. Many of these repositories develop close, long-term communities made up of individuals and organizations that collect, analyze, and publish results based on the data in the repositories. Connections between these datasets, papers, people, and organizations are an important part of the knowledge infrastructure surrounding the repository. All these research objects, people, and organizations can now be identified using various unique and persistent identifiers (PIDs) and it is possible for domain repositories to build on their existing communities to facilitate and accelerate the identifier adoption process. As community members contribute to multiple datasets and articles, identifiers for them, once found, can be used multiple times. We explore this idea by defining a connectivity metric and applying it to datasets collected and papers published by members of the UNAVCO community. Finding identifiers in DataCite and Crossref metadata and spreading those identifiers through the UNAVCO DataCite metadata can increase connectivity from less than 10% to close to 50% for people and organizations.