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- Wilkinson, Mark D., et al.
(author)
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Comment : The FAIR Guiding Principles for scientific data management and stewardship
- 2016
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In: Scientific Data. - : Springer Science and Business Media LLC. - 2052-4463. ; 3
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Journal article (peer-reviewed)abstract
- There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
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2. |
- Willighagen, Egon L, et al.
(author)
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The ChEMBL database as linked open data
- 2013
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In: Journal of Cheminformatics. - : Springer Science and Business Media LLC. - 1758-2946. ; 5:1, s. 23-
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Journal article (peer-reviewed)abstract
- Background: Making data available as Linked Data using Resource Description Framework (RDF) promotes integration with other web resources. RDF documents can natively link to related data, and others can link back using Uniform Resource Identifiers (URIs). RDF makes thedata machine-readable and uses extensible vocabularies for additional information, making it easier to scale up inference and data analysis. Results: This paper describes recent developments in an ongoing project converting data from the ChEMBL database into RDF triples. Relative to earlier versions, this updated version of ChEMBL-RDF uses recently introduced ontologies, including CHEMINF and CiTO; exposes more information from the database; and is now available as dereferencable,linked data. To demonstrate these new features, we present novel use cases showing further integration with other web resources, including Bio2RDF, Chem2Bio2RDF, and ChemSpider, and showing the use of standard ontologies for querying. Conclusions: We have illustrated the advantages of using open standards and ontologies to link the ChEMBL database to other databases. Using those links and the knowledge encoded in standards and ontologies, theChEMBL-RDF resource creates a foundation for integrated semantic web cheminformatics applications, such as the presented decision support.
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