Home › FAIR Principles. Toggle menu. In 2016, the ‘ FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. The authors intended to provide guidelines to improve the F indability, A ccessibility, I nteroperability, and R euse of digital assets. The principles emphasise machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) because humans

2016-03-15 · 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

2018-06-26 · In this paper, we present OpenPVSignal, a novel ontology aiming to support the semantic enrichment and rigorous communication of PV signal information in a systematic way, focusing on two key aspects: (a) publishing signal information according to the FAIR (Findable, Accessible, Interoperable, and Re-usable) data principles, and (b) exploiting automatic reasoning capabilities upon the interlinked PV signal report data. 2018-04-09 · AMIA urged the NIH to commit to FAIR data principles and require the recipients of NIH grants to also adopt the principles as a condition of funding. Numerous aspects of the plan were correctly calibrated to achieve the dual goal of capitalizing on data science advances while addressing longstanding challenges. Realizing the value of the FAIR principles will require a combination of scientific, technical, social, legal, and ethical advances for the production, sharing, discovery, assessment, and reuse of data.

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Share your data 3. Conduct science with reuse in mind 4. Publish workﬂow 5. Link data to publications 6. Publish your code 7. State how you want to get credit 8. Foster and use repositories 9.

FAIR data support such collaborations and enable insight generation by facilitating the linking of data sources and enriching them with metadata.

2019-04-08 · •Optimize data storage and security •Connect NIH data systems Modernized Data Ecosystem •Modernize data repository ecosystem •Support storage and sharing of individual datasets • Better integrate clinical and observational data into biomedical data science IIIID) National Institutes of Health Data Management, Analytics, and Tools

Numerous aspects of the plan were correctly calibrated to achieve the dual goal of capitalizing on data science advances while addressing longstanding challenges. Realizing the value of the FAIR principles will require a combination of scientific, technical, social, legal, and ethical advances for the production, sharing, discovery, assessment, and reuse of data. The aim of this special issue is to highlight unique contributions towards the development and assessment of FAIR data, systems, and analysis.

FAIR-principerna spelar en mycket viktig roll i arbetet för öppen vetenskap. De beskriver några av de mest centrala riktlinjerna för god datahantering och öppen tillgång till forskningsdata. FAIR innebär att forskningsdata ska vara Findable (sökbara), Accessible (tillgängliga), Interoperable (interoperabla) och Reusable (återanvändbara).

The term FAIR was launched at a Lorentz workshop in 2014, the resulting FAIR principles were published in 2016.

The aim of this special issue is to highlight unique contributions towards the development and assessment of FAIR data, systems, and analysis. The FAIR principles are mentioned in the Communication “ European Data Strategy (2020) ” by the European Commission as a way to implement interoperability.
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Notice of Special Interest: Support for existing data repositories to align with FAIR and TRUST principles and evaluate usage, utility, and impact The goal of this Notice of Special Interest (NOSI) is to strengthen NIH-funded biomedical data repositories to better enable data discoverability, interoperability, and reuse by aligning with the FAIR and TRUST principles and using metrics to Die "FAIR Data Principles" formulieren Grundsätze, die nachhaltig nachnutzbare Forschungsdaten erfüllen müssen und die Forschungsdateninfrastrukturen dementsprechend im Rahmen der von ihnen angebotenen Services implementieren sollten. Gemäß der FAIR-Prinzipien sollen Daten " F indable, A ccessible, I nteroperable, and R e-usable" sein. Make your sequence data available in the International Nucleotide Sequence Database Collaboration (INSDC) for global use in COVID-19 response; Ensure your data contribution is included in NCBI Virus, BLAST, RefSeq and other resources; Follow FAIR data-sharing principles; Other Resources. Find and analyze SARS-CoV-2 sequence data, and related data.

Objective: The objective of this case study was to develop a system for improving the FAIRness of Healthcare Cost and Utilization Project's State Emergency Department Databases (HCUP's SEDD) within the context of data catalog availability.
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In comments regarding NIH plans on data science, AMIA urged the NIH to commit to FAIR data principles and require the recipients of NIH grants to also adopt the principles as a condition of funding. FAIR is an acronym for Findable, Accessible, Interoperable and Reusable. The NIH published its draft Data Science Strategic Plan in early March. It includes five areas of data science: Data Infrastructure; Modernized Data Ecosystem; Data Management, Analytics and Tools; Workforce Development; and

It includes five areas of data science: Data Infrastructure; Modernized Data Ecosystem; Data Management, Analytics and Tools; Workforce Development; and 2021-04-05 · NIH funds a range of biomedical data repositories that differ in size, complexity, and the research domains they serve. Biomedical repositories accept submission of relevant data from the community to store, organize, validate, archive, preserve, and distribute data, in compliance with the FAIR Data Principles. 2020-10-29 · These desired characteristics aim to ensure that data are managed and shared in ways that are consistent with FAIR data principles. Selecting a Data Repository For some programs and types of data, NIH and/or Institute, Center, Office (ICO) policy(ies) and Funding Opportunity Announcements (FOAs) identify particular data repositories (or sets of repositories) to be used to preserve and share data.

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The FAIR Data Principles were developed by a community of scholars, librarians, archivists, publishers and research funders. (Image courtesy of NIEHS)

NIH Draft Policy The NCI Cancer Research Data Commons (CRDC) is a cloud-based data science Adhere to FAIR principles of data stewardship: Findable, Accessible, for analysis, and how to submit data to the CRDC and other NIH repositories . Sep 17, 2019 NIH's Strategic Vision for Data Science: Enabling a FAIR-Data Ecosystem computational biology, biophysics and data sciences, mathematical and biostatistical methods, Amazon's 14 Leadership Principles via J Apr 15, 2018 FAIR Data Principles (Findable, Accessible, Interoperable, Reusable) The Kids First Data Resource Center is integrated initiative of the NIH Jan 13, 2020 Nation's health informatics experts urge NIH to dramatically revise draft prerequisite to achieve the vision of FAIR data principles and such a scope “It is imperative that the NIH view scientific data as the Mar 6, 2018 The principles have since received worldwide recognition by various organisations including FORCE11, National Institutes of Health (NIH) and Oct 30, 2020 NIH encourages data management and data sharing practices consistent with the FAIR data principles. Under the DMS Policy, NIH requires Dec 10, 2019 FAIR (Findable, Accessible, Interoperable, and Re-usable) data principles, the draft policy provides flexibility to develop a culture of data Jul 13, 2018 It reviews innovative scientific research methods created by data FAIR principles provide guidelines, do not require specific 12 (June 2000): 2253–65, https://www.ncbi.nlm.nih.gov/pubmed/10825297 (accessed August Nov 12, 2019 NIH recently unveiled its proposed data management and sharing for Findable, Accessible, Interoperable, and Re-usable (FAIR) principles. May 4, 2018 First, we will look at the FAIR Data principles, then focus on a number of other initiatives in Available from: https://www.ncbi.nlm.nih.gov/mesh. Jun 5, 2019 2.1.4 Applying FAIR principles to science data is challenging . national labs2, the National Institutes of Health (NIH), and the National Oct 9, 2019 “They also espouse fair data principles, which include good interoperability and reusability.