4 feb. 2020 — DCU arbetar utifrån målet att all forskningsdata ska vara FAIR (Findable, National Dataservice) metadataportal or yet another data repository.

FAIR principles Findable. The first step in (re)using data is to find them. Metadata and data should be easy to find for both humans and computers. Machine-readable metadata are essential for automatic discovery of datasets and services, so this is an essential component of the FAIRification process.

made by SKB to compile and summarise this enormous body of data. Rather, this pub- It is fair to say that the construction and operation of Äspö HRL has made a. Registry of research data repositories Criteria for the selection of trustworthy Open research data according to FAIR FAIR is an internationally recognised  Dessa förvar indexeras för att söka och bläddra efter webbplatser som DataMed 2 och FAIRSharing 3 . På liknande sätt har flera ansträngningar gjorts för att  Erik is described as an energetic man, yet humble before God, whereas Elin is portrayed as fair and vestal, abstemious and virtuous, wise and unpresuming.

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FAIR data are data which meet principles of findability, accessibility, interoperability, and reusability. A March 2016 publication by a consortium of scientists and organizations specified the "FAIR Guiding Principles for scientific data management and stewardship" in Scientific Data, using FAIR as an acronym and making the concept easier to discuss. The ultimate goal of FAIR is to optimise the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.

Support FAIR and Open data in trustworthy repositories, for instance by sticking tostandards for data documentation and file formats (“replication packages”); checking how FAIR existing data are and learning from this; teaching early-career researchers tomanage data tomake them FAIR and as open as possible.

FAIR-aligned: Repository Commitment •Ensure that research outputs (e.g., data, software, technology, and physical samples) curated by repositories are open and FAIR, have essential documentation, and include human-readable and machine-readable metadata (e.g., on landing pages) in standard formats that are exposed and publicly discoverable. This webinar was co-organised by DANS, EUDAT and OpenAIRE and was held on 12th and 13th December 2016.Everybody wants to play FAIR, but how do we put the pri EC Expert Group on Turning FAIR Data into Reality. The European Commission’s Expert Group on FAIR Data, chaired by Simon Hodson, CODATA Executive Director, published the interim report ‘Turning FAIR Data into Reality’ and the interim ‘FAIR Data Action Plan’ on 11 June 2018 at the Second EOSC Summit in Brussels..

However, the DSA remains a basic certification standard for “Trustworthy Digital Repositories”, based on a self-assessment of these guidelines by the repository 

The Laura and John Arnold Foundation has awarded a grant to a coalition of groups representing the international Earth and space science community, convened by the American Geophysical Union (AGU), to develop standards that will connect researchers, publishers, and data repositories in the Earth, space, and environmental sciences to enable FAIR (findable, accessible, interoperable, and reusable) data on a large scale. FAIR Data Point. FAIR Data Point (FDP) is a REST API for creating, storing, and serving FAIR metadata. This FDP implementation also presents a Web-based graphical user interface (GUI).

Support FAIR and Open data in trustworthy repositories, for instance by sticking to standards for data documentation and file formats (“replication packages”); checking how FAIR existing data are and learning from FASTA. Springer Nature - Nature Medicine - Availability of Data and materials. Nature Publishing Group - Nature Genetics - Availability of Data and materials. Nature Publishing Group - Nature Chemical Biology - Availability of Data and materials. Springer Nature - Nature Photonics - Availability of Data and materials. The FAIR principles are remarkably similar to the underlying principles of DSA (2005): the data can be found on the Internet, are accessible (clear rights and licenses), in a usable format, reliable and are identified in a unique and persistent way so that they can be referred to.
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Springer Nature - Nature Photonics - Availability of Data and materials. The 3 types of data services that users consider essential to enable FAIR data. Most respondents consider trustworthy data repositories, persistent identifiers, and rich metadata as most essential in making data FAIR. At the same time, tools, policies, data management planning and ontologies services are seen as very important too. The Laura and John Arnold Foundation has awarded a grant to a coalition of groups representing the international Earth and space science community, convened by the American Geophysical Union (AGU), to develop standards that will connect researchers, publishers, and data repositories in the Earth, space, and environmental sciences to enable FAIR (findable, accessible, interoperable, and reusable) data on a large scale.

The basic idea of the odML approach is to combine a rather general data model with domain Enabling open and FAIR neuroscience.
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24 aug. 2020 — Data in these resources are intended to be findable, accessible, interoperable, and reusable (FAIR). However, integrating relevant parts within 

2017-09-12 SSHOC, Repositories, CoreTrustSeal+FAIR: Digital Repositories are a key EOSC data service and hubs for interoperability. Achieving CoreTrustSeal demonstrates Trustworthy Data Repository status and emerging EOSC work is aligning repository maturity with the ability to enable FAIRness. FAIR Data Point (FDP) is a metadata repository that provides access to metadata in a manner that follows the FAIR (Findable, Accessible, Interoperable, and Reusable) Principles for data… 2020-07-29 code used to process and analyse the data.