Figure 1.
Convergence Matrix Process Overview. The questionnaire is composed and
 maintained by FAIR Experts, an effort was made to ensure broad coverage of
 technologies and other Resources and how they relate to each of the FAIR
 principles. The questionnaire is encoded in a machine-readable Wizard
 Knowledge Model, which then exposes the questions in a user-friendly
 interface (screenshot). The community spokesperson registers in the Wizard,
 completes a few questions profiling the community, then begins to answer the
 61 questions in the questionnaire. Default answers, drop-downs and
 autocomplete make the completion of the form easier and help achieve the
 machine readability. At some point in the future, Communities and trusted
 third-parties (e.g., funding agencies, publishers, data stewards, etc.)
 could publish customized Knowledge Models that will offer recommendations
 on, or even require the use of, certain Resources. This function could be a
 powerful driver of convergence. The drop-down and autocorrect is provided by
 FAIRsharing. The data input by the Community Spokesperson is captured as
 stand-alone nanopublications (capturing an assertion about the
 “Implementation Choice Made” and documenting the decision with
 a collection provenance metadata). The nanopublications will be made
 available on the distributed nanopublication server network, and will be
 available to any other organizations for hosting and serving. The resulting
 open knowledge graph is generated from the stored data and can be viewed as
 a public good, advising a myriad of decisions needed to launch and sustain
 the Internet of FAIR Data and Services.

Convergence Matrix Process Overview. The questionnaire is composed and maintained by FAIR Experts, an effort was made to ensure broad coverage of technologies and other Resources and how they relate to each of the FAIR principles. The questionnaire is encoded in a machine-readable Wizard Knowledge Model, which then exposes the questions in a user-friendly interface (screenshot). The community spokesperson registers in the Wizard, completes a few questions profiling the community, then begins to answer the 61 questions in the questionnaire. Default answers, drop-downs and autocomplete make the completion of the form easier and help achieve the machine readability. At some point in the future, Communities and trusted third-parties (e.g., funding agencies, publishers, data stewards, etc.) could publish customized Knowledge Models that will offer recommendations on, or even require the use of, certain Resources. This function could be a powerful driver of convergence. The drop-down and autocorrect is provided by FAIRsharing. The data input by the Community Spokesperson is captured as stand-alone nanopublications (capturing an assertion about the “Implementation Choice Made” and documenting the decision with a collection provenance metadata). The nanopublications will be made available on the distributed nanopublication server network, and will be available to any other organizations for hosting and serving. The resulting open knowledge graph is generated from the stored data and can be viewed as a public good, advising a myriad of decisions needed to launch and sustain the Internet of FAIR Data and Services.

Close Modal

or Create an Account

Close Modal
Close Modal