Öppen tillgång till forskningsdata och FAIR-principerna - Karl

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MENU. About · CODATA's Mission · Message from President Barend Mons · CODATA SND, Fair Data och vägen framåt Mötesplats U-CARE Johan Fihn Marberg Svensk Nationell Datatjänst idag Uppdrag från Vetenskapsrådet sedan 2008, To foster responsible evaluation of research and researchers, Europe needs a vision, roadmap and data infrastructures for creating FAIR Nordic EPOS - A FAIR Nordic EPOS Data Hub – is a consortium of the Nordic geophysical observatories delivering on-line data to EPOS Thematic Core Med hjälp av metoden ska det vara möjligt att avgöra hur väl vetenskapliga publikationer och forskningsdata uppfyller FAIR-principerna. Vad Med FAIR data menas forskningsdata som är Findable, Accessible, Interoperable och Reusable. FAIR-principerna är ett ramverk för att göra Naturligtvis är detta en komplicerad process där forskarna beskriver och dokumenterar vilken data som skall samlas in, hur och varför. Men [Fdatastod] Platser kvar: Nordic FAIR data stewardship course March 30 - April 3.

Data inconsistency occurs when similar data is kept in different formats in more than one file. When this happens, it is important to match the data between files.

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Även stora initiativ som FAIR data. LUPOP and SND/DoSp seminar February 5, 2019 Data Support at LU; Margareta Hellström: Making our data FAIR - Why should we care? Lunds universitet deltar i "FAIR Data" - nationell forskningsdatatjänst.

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Einschränkungen des Zugriffs sind mit den FAIR-Prinzipien vereinbar, solange die Bedingungen und Wege zum Zugang ersichtlich sind. On a personal level, the FAIR Data Principles provide a data management framework to help researchers manage their data assets. Additionally, by sharing data that are FAIR, researchers facilitate knowledge discovery and increase the chance of possible collaboration, which are beneficial especially for early-career researchers.

The Fairdata services are developed in accordance with the FAIR principles. Read more about Fair Principles 2019-02-11 It will propose measures for increasing FAIR maturity to maximise data sharing and re-use. The EOSC-FAIR working group will define and implement a FAIR work plan. These will be based on the Action Plan proposed by the EC Expert Group on “Turning FAIR into reality”, as well as ongoing community initiatives and outputs from key projects like FAIRsFAIR , RDA and FREYA . FAIR-periaatteet julkaistiin vuonna 2016. FAIR-periaatteiden on tarkoitus tehdä data löydettäväksi (Findable), saavutettavaksi (Accessible), yhteentoimivaksi (Interoperable) ja uudelleenkäyettäväksi (Re-usable). Opetus- ja kulttuuriministeriö on sitoutunut FAIR-periaatteisiin.
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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).

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.
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Title:Fair Data Integration. Authors:Sainyam Galhotra, Karthikeyan Oct 10, 2018 This video illustrates how certified digital repositories contribute to making and keeping research data findable, accessible, interoperable and Aug 7, 2019 To achieve this, data should be findable, accessible, interoperable, and reusable (FAIR). Here, we outline how these principles apply to ocean Jun 29, 2019 The Findable, Accessible, Interoperable and Reusable (FAIR) Data Principles have been developed to define good practices in data sharing.

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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. R1. (Meta)data are richly described with a plurality of accurate and relevant attributes. R1.1. (Meta)data are released with a clear and accessible data usage license DATA on The NET -- University of California, San Diego (Search or browse a listing of over 700 Internet sites of numeric social science statistical data, data catalogs, data libraries, social science gateways, addresses and more) DataPlace (maps and charts at geographic scales ranging from the neighborhood to the nation) The FAIR data principles were drafted by the Force11 group in 2015.