A deep dive into FAIR data . This website will take you on a deep dive into the subject matter of FAIR research data. Over the course of about two hours, it will show you that FAIR is not a time-consuming administrative mantra, but a set of principles that makes your research efficient, transparent and sustainable.

FAIR Data Principles apply not only to data but also to metadata, and are supporting infrastructures (e.g., search engines). Most of the requirements for findability and accessibility can be achieved at the metadata level, but interoperability and reuse require more efforts at the data level.This scheme depicts the FAIRification process adopted by GO FAIR.

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Fair data

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The FAIR data principles were drafted by the Force11 group in 2015. The principles have since received worldwide recognition as a useful framework for thinking about sharing data in a way that will enable maximum use and reuse.

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.

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

Fair Data Society recognises online privacy as a basic human right and a basis for progress for all. DAC. 1 Developing fair data technology. FAIR data is about making scientific data more accessible and reusable in the digital age.// Thanks for watching!

The methods include tools, training and change management which are illustrated by relevant use cases cases. Making practical FAIR data solutions. FAIR Data Collective has 6 repositories available. Follow their code on GitHub. A framework for establishing data collection criteria. Measurement scales for risk factors. A modeling construct for analyzing complex risk scenarios.
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Findability, Accessibility, Interoperability and Reusability – the FAIR principles – intend to define a minimal set of related but independent and separable guiding principles and practices that enable both machines and humans to find, access, interoperate and re-use data and One of the key goals of the FAIR guiding principles is defined by its final principle – to optimize data sets for reuse by both humans and machines. To do so, data providers need to implement and s The FAIR Toolkit includes use cases and methods designed to support the implementation of FAIR data management by life science industry.

The FAIR principles are mainly focused on machine readability, but also target human understanding of research data, in order to enable the reuse of data. FAIR Data Principles Preamble One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows.
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Fair for Fusion - open access for fusion data in Europe (Fair4Fusion). Research Project , 2019 – 2021. Description missing.

Fair Transport är grunden för en hållbar affär och branschens sätt att synliggöra hållbara transporter. Fair Transport ska garantera en hållbar affär, både för den Regulation, with the exception of the procedure for comparison and data transmission for For the purpose of ensuring a fair comparison, account was taken, Fotografen June Newton, som också är känd under pseudonymen Alice Springs, har gått bort, 97 år gammal, rapporterar Vanity Fair. It aims to enable holding contests when you don't have the test data. The Culture Fair Intelligence Test (CFIT) was created by Raymond Cattell in 1949 as an Data is delayed 15 minutes during market session.

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Fairdata offer products to support data management, metadata description, safe storage as well as digital preservation over decades, technology cycles and

DAC. 1 Developing fair data technology.

FAIR is not equal to RDF, Linked Data, or the Semantic Web: The reference article in Scientific Data emphasises the machine-actionability of data and metadata. This implies (in fact, requires) that resources that wish to maximally fulfil the FAIR guidelines must utilise a widely-accepted machine-readable framework for data and knowledge representation and exchange.

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.

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. Av Anna Mansfeld - publicerad 18 februari 2019. En kick-off för universitetets deltagande i Under de senaste åren har begreppet FAIR data vuxit sig starkare. Detta har delvis skett i och med att EU kräver att forskningsdata inom H2020 ska uppfylla. I samband med forskningsdata hänvisas ofta till FAIR-principen, en akronym som kommer från orden Findable, Accessible, Interoperable och Reusable.