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  4. FAIR Data: principles, implementation, implications

FAIR Data: principles, implementation, implications

Author(s)
Keywords

research data managem...

FAIR data principles

open science

data repositories

EC H2020 Open Data Po...

CODATA

research data curatio...

Issue Date
November 21, 2017
Publisher
euroCRIS
Type
Presentation
Abstract
The presentation provides an overview on the area of Open Research Data as a key part of Open Science implementation in which CODATA plays a very relevant role. The history of the policy push towards Open Data is explored in parallel with the gradual arising of the discourse on Open Science. The rationale behind the FAIR Data principles for findability, accessibility, interoperability and reusability and the challenges posed specially by the two last ones are described. Since these FAIR Data principles lie at the core of initiatives like the European Open Science Cloud, a roadmap is suggested for their implementation including -- among others -- areas like defining indicators for measuring progress on each of the four features, clarifying the boundaries of openness, investing in sustainable data infrastructure or addressing the skills needs for data scientists and researchers.
Description
46 slides.-- Presentation delivered within the session "Open Science and FAIR Data"
URI
https://dspacecris.eurocris.org/handle/11366/606
File(s)
Thumbnail Image
Name

euroCRIS_SMM_Bratislava_SHodson_FAIRdata_CODATA_20171121.pdf

Description
PDF presentation
Size

5.9 MB

Format

Adobe PDF

Checksum (MD5)

41e8260ea4daced0134bc68fb9783345

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