The FAIR principles are a set of community-developed guidelines to ensure that data or any digital object are Findable, Accessible, Interoperable and Reusable.

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The FAIR Toolkit includes use cases and methods designed to support the implementation of FAIR data management by life science industry. The methods include tools, training and change management which are illustrated by relevant use cases cases.

1. S a r a h J o n e s A s s o c i a t e D i r e c t o r , D i g i t a l C u r a t i o n C e n t r e R a p p o r t e u r o f F A I R  Data stewardship as described in this handbook is adequate because it is based on the FAIR Principles, which have been adopted worldwide. It is natural  Geoscience Australia is part of the international research community and as such supports FAIR data principles (data that is Findable, Accessible, Interoperable,  The FAIR Data Principles feature 15 facets corresponding to the four letters of FAIR - Findable, Accessible, Interoperable, Reusable. These principles have already  In particular, ASCR is interested in supporting FAIR benchmark data for AI; and FAIR frameworks for relating data and AI models. For this FOA, AI is inclusive of, for  Explicit, Executable, Reusable, and Automatically-Disseminated Scientific Publications in the form of FAIR Data. Projections suggest that the delay between   FAIR innebär att forskningsdata ska vara Findable (sökbara), Accessible (tillgängliga), Interoperable (interoperabla) och Reusable (återanvändbara). Sammanlagt  Findable: hur kan man hitta data?

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Monica Lassi monica.lassi at lunarc.lu.se. Thu Jan 16  Infrastructure for research data | Swedish National Data Service collaborates with on #datamanagement, FAIR data and #openaccess in the field of #language  Fair for Fusion - open access for fusion data in Europe (Fair4Fusion). Research Project , 2019 – 2021. Description missing. NeIC koordinerar EOSC-Nordic-projektet och ett arbetspaket om FAIR-data. Projektet strävar efter att etablera de nordiska och baltiska länderna som ledande i  Rosa från KTH Biblioteket prata om öppen data och skillnaden mellan "open data" och "FAIR data". Fairplace på Instagram (Fairplacesweden) gick ut med en short survey på temat och hela 75% av respondenterna svarade ja.

Raster data has been classified into three classes and visualized with shades of  Rosa från KTH Biblioteket prata om öppen data och skillnaden mellan "open data" och "FAIR data".

Välkommen att delta på en digitala frågestund om datahantering, FAIR data och öppen tillgång till forskningsdata med inriktning medicin och folkhälsa.

For example, publically available data may lack sufficient documentation to meet the FAIR principles, such as licensing for clear reuse. 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 Findability, Accessibility, Interoperability, and Reuse of digital assets.The principles emphasise machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data 2016-03-15 Open Data and FAIR Data are two very similar concepts, since they share a similar philosophy when it comes to sharing data and enhancing collaboration among users, but they are not exactly the same. In the article we tell you what these two types of data are, what they look like and how they differ.

Importantly, data should not only be FAIR for humans but also for machines, allowing, for instance, automated search and access to data. Funders like the European Commission have drafted Guidelines on FAIR Data Management for the H2020 programme (European Commission, 2016). Good data management is one way to support the FAIR principles.

1. Karl Gertow, Avd f Forskningsinfrastruktur,  Genom att samla metadata för vetenskapliga publikationer (Swepub) och forskningsdata (nationell översikt behöver utarbetas) kan en samlad  What's a virtual career fair? Where do I register? Which companies are attending? I will always leave the possibility to the authors to respond and justify their choices.

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Open data may not be FAIR. For example, publically available data may lack sufficient documentation to meet the FAIR principles, such as licensing for clear reuse. 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 Findability, Accessibility, Interoperability, and Reuse of digital assets.The principles emphasise machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data 2016-03-15 Open Data and FAIR Data are two very similar concepts, since they share a similar philosophy when it comes to sharing data and enhancing collaboration among users, but they are not exactly the same. In the article we tell you what these two types of data are, what they look like and how they differ.
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To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.

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.
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Among the principles of FAIR is that data should be easy to find – as the F represents – for both humans and computers. Machine-readable metadata are essential for automatic discovery of datasets and services, so this is an essential component of making data shareable, and it’s an element Zhiyong and his team paid attention to.

FAIR-principerna. Även stora initiativ som  FAIR data.


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Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, Blomberg N, Boiten JW, da Silva Santos LB, Bourne PE, Bouwman J, Brookes AJ, 

Arkivering av data. Vilka olika slags metadata finns det? Beskrivande: Information om datauppsättningens innehåll, som gör det  Fair Data – Sjyst data! Responsible use of personal data.

Öppen tillgång till forskningsdata och FAIR-principerna - Karl Gertows presentation på LOA2018. 1. Karl Gertow, Avd f Forskningsinfrastruktur, 

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Click subscribe and the notification bell t The FAIR data principles were published in 2016 by Force11. According to the FAIR principles, the data should be Findable, Accessible, Interoperable and Re-usable. The Ministry of Education and Culture is committed to these principles.