distributed analysis across multiple data sets is one of the major drivers and use cases for FAIR data: it requires metadata to find the data resources, protocols to

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The four factors of analysis for fair use set forth above derive from the opinion of Joseph Story in Folsom v. Marsh, in which the defendant had copied 353 pages from the plaintiff's 12-volume biography of George Washington in order to produce a separate two-volume work of his own. A deep dive into FAIR data . This website will take you on a deep dive into the subject matter of FAIR research data.

4 top tips from recruiters to help you make the most The team of CS Instruments at the ComVac / Hannover Messe 2019. Parabolic mirror for leak detection in use at the fair. Leak detector LD 500 Fair for Fusion - open access for fusion data in Europe (Fair4Fusion) may use this form, or contact us per e-mail research.lib@chalmers.se. En publikation från mars 2016 av ett konsortium av forskare och organisationer specificerade "FAIR Guiding Principles for scientific data management and FAIR-principerna och vetenskapliga publikationer. 12. Aktörer.

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FAIR research data encompasses the way to create, store and publish research data in a way that they are findable, accessible, interoperable and reusable.

Become properly courted at the next career fair? Read on and get our best tips on how to use personal data to employers and universities. Therefore evaluate inputs, including pictures, carefully. Virtual Fair is using cookies within its operating system.

Aug 7, 2019 They should also use vocabularies that follow FAIR principles and provide qualified references to other relevant metadata and data. Importantly,

move beyond high level guidance, containing detailed advice on activities that can be undertaken to make data more FAIR. FAIR principles in practice. Data organised in accordance to the FAIR principles, so-called FAIR data, is structured, (re)usable, readable, interoperable between systems and possible to find as well as navigate within.

FAIR Digital Objects can only exist in aFAIR ecosystem, comprising key data services that are needed to support FAIR. These include services that provide persistent identifiers, metadata specifications, stewardship and repositories, actionable policies and Data Management Plans.
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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. Section 107 of the Copyright Act provides the statutory framework for determining whether something is a fair use and identifies certain types of uses—such as criticism, comment, news reporting, teaching, scholarship, and research—as examples of activities that may qualify as fair use.

The FAIR principles describe how research outputs should be organised so they can be more easily accessed, understood, exchanged and reused. “FAIR Principles put speciﬁc emphasis on enhancing the ability of machines to automatically ﬁnd and use the data, in addition to supporting its reuse by individuals.” “Good data management is not a goal in itself, but rather is the key conduit leading to knowledge discovery and innovation, and to subsequent data and knowledge integration Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to There are several FAIR Data Point implementations in existence: The reference implementation as described above. The MOLGENIS software supports the FAIR Data Point protocol. Castor currently supports a previous version.
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