FAIR Convergence Matrix: Optimizing the Reuse of Existing FAIR-Related Resources

Figure 1 shows 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 \r\nwill 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 \r\nof FAIR Data and Services.

图一展示了收敛矩阵处理概览。问卷由FAIR（公平、可访问、互操作性、可重用性）专家编制并维护，致力于确保全面覆盖技术与其它资源，以及它们与FAIR各项原则之间的关系。问卷采用可机器读取的向导知识模型进行编码，随后在用户友好的界面（截图所示）中展示问题。社区发言人于向导中进行注册，完成一系列描绘社区特征的提问，随后开始回答问卷中的61个问题。默认答案、下拉菜单和自动完成功能简化了表单的填写过程，并有助于实现机器可读性。在未来某个时刻，社区和受信任的第三方（例如，资助机构、出版商、数据管理员等）可能会发布定制的知识模型，提供关于或甚至强制使用某些资源的建议。这一功能可能成为促进收敛的强大驱动力。下拉菜单和自动纠错由FAIRsharing提供。社区发言人所输入的数据被捕获为独立的纳米出版物（记录“实施选择”的断言，并使用集合 provenance 元数据记录决策）。纳米出版物将被发布在分布式纳米出版物服务器网络上，可供任何其他组织进行托管和服务。从存储的数据生成的开放知识图谱可被视为公共品，为启动和维持FAIR数据和服务互联网的众多决策提供咨询。