Online exchange fair for Aalto students on 12.1.2021! öppen vetenskap utbildning | Research Data Management and Open Science Training in spring 2021.


Fairplace på Instagram (Fairplacesweden) gick ut med en short survey på temat och hela 75% av respondenterna svarade ja. Samtliga 

2020-08-09 The FAIR Data Expert Group has put considerable effort into this report. It has conducted its work by means of face-to-face and virtual meetings and a lot of asynchronous, collaborative writing and rewriting. All members . Turning FAIR into reality . research,, , report ., . FAIR data is essential for us to bring global solutions to this public health crisis, as well as the others that are sure to come in the future. Emerging tech has revolutionised how we use data.

Fair data

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The FAIR principles are structured around sub-categories, each containing guidelines regarding an aspect of FAIR. Data can be FAIR but not open. For example, data could meet the FAIR principles, but be private or only shared under certain restrictions. 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.

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, 

This means that unless I see a big problem in the way data  The programme promotes management of personal data in accordance with the MyData principles. During Finland's EU presidency in the second  Du får guidning i valet av moln bland alla alternativ som finns, stöttning vid migrering av din data och hantering av drift och övervakning. Du kan vara trygg i din  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,  NEW GENERATION LIQUID FOUNDATION & CONCEALER Den lätta, flytande formeln har god opacitet, är väl Ahlsell är den ledande tekniska distributören i Norden inom installationsprodukter, verktyg och maskiner. Handla online i Ahlsells webbutik.

Feb 11, 2019 Nature Index 360°. The idea that scientific data should be FAIR — Findable, Accessible, Interoperable, and Reusable — is one increasingly 

Fair data

Using this tool you will be able to score the 'FAIRness' of a dataset. You will be asked questions regarding the  Open and FAIR data. The University and many public funders expect data supporting research findings to be made openly available wherever possible  In order to achieve data publication in a FAIR manner and foster their findability, accessibility, interoperability and reusability, a set of (FAIR) data tools are being  In addition, they present an action plan to make research data findable, accessible, interoperable and reusable (FAIR): attributes which are essential to extract the  Fair Data is a recognisable mark that enables consumers to make educated choices about their personal data.

Fair data

FAIR research data shall be Findable, Accessible, Interoperable, and Reusable. There are a total of 15 FAIR principles that can be applied to research in all scientific disciplines.
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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).

FAIR data was introduced for scientific data, but the principles are also useful for government data or company data. Any valuable data that is used by multiple organisations should be made FAIR.
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The criteria should enable the assessment of the extent to which existing research data meet the FAIR principles (their so-called "FAIRness"), but 

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. 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. The Fairdata services are developed in accordance with the FAIR principles. Read more about Fair Principles FAIR is een acroniem voor: Findable - vindbaar Accessible - toegankelijk Interoperable - uitwisselbaar Reusable - herbruikbaar De internationale FAIR-principes zijn in 2014 geformuleerd tijdens een bijeenkomst in Leiden.