Data stewardship for open science: implementing FAIR principles / Data-driven storytelling
نویسندگان
چکیده
منابع مشابه
The FAIR Guiding Principles for scientific data management and stewardship
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those ...
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The FAIR Data Principles propose that all scholarly output should be Findable, Accessible, Interoperable, and Reusable. As a set of guiding principles, expressing only the kinds of behaviours that researchers should expect from contemporary data resources, how the FAIR principles should manifest in reality was largely open to interpretation. As support for the Principles has spread, so has the ...
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1 Leiden University Medical Centre, The Netherlands {m.roos,m.thompson,r.kaliyaperumal,a.jacobsen}@lumc.nl 2 Universidad Politcnica de Madrid, Spain [email protected] 3 Istituto Superiore di Sanitá, Italy [email protected] 4 University Medical Center Groningen, The Netherlands [email protected] 5 Wageningen Plant Research, The Netherlands [email protected] 6 Dutch Techcentre...
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The modern healthcare and life sciences ecosystem is moving towards an increasingly open and data-centric approach to discovery science. This evolving paradigm is predicated on a complex set of information needs related to our collective ability to share, discover, reuse, integrate, and analyze open biological, clinical, and population level data resources of varying composition, granularity, a...
متن کاملRecommendations for open data science
Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in l...
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ژورنال
عنوان ژورنال: Journal of Statistical Computation and Simulation
سال: 2018
ISSN: 0094-9655,1563-5163
DOI: 10.1080/00949655.2018.1505198