Seven Recommendations for Implementation of FAIR Practice - Draft for Consultation
How to move from FAIR principles to FAIR practice? During the past year, the FAIR practice task force under the umbrella of the EOSC FAIR Working Group has been gathering its understanding of the current state of FAIR practices across diverse communities, and making recommendations aimed primarily at research funders and policymakers on how to ensure that "FAIR" provides maximum value in the European Open Science Cloud.
Data sharing has not changed, but the pandemic highlights not only how important data sharing is (like other crises have, for instance, the climate crisis) but how it spotlights larger issues in our data sharing social and technical infrastructure.
Data sharing and COVID-19- the pandemic is changing the way scientists work and talk to each other. The Early Career Researchers advisory board at Wellcome Open Research discuss how COVID-19 is changing science.
A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility
Data makes science possible. Sharing data improves visibility, and makes the research process transparent. This increases trust in the work, and allows for independent reproduction of results. However, a large proportion of data from published research is often only available to the original authors. Despite the obvious benefits of sharing data, and scientists' advocating for the importance of sharing data, most advice on sharing data discusses its broader benefits, rather than the practical considerations of sharing. This paper provides practical, actionable advice on how to actually share data alongside research. The key message is sharing data falls on a continuum, and entering it should come with minimal barriers.
The U.S. National Institutes of Health (NIH) is in the midst of digesting public comments toward finalizing a data sharing policy. Although the draft policy is generally supportive of data sharing, it needs strengthening if we are to collectively achieve a long-standing vision of open science built on the FAIR principles.
What Should Be the Essential Baseline Practices for Repositories That Manage Research Data?
COAR and SPARC have published a joint response to the OSTP Request for Public Comment on Draft Desirable Characteristics of Repositories for Managing and Sharing Data Resulting From Federally Funded Research. Good data management is critical for ensuring validation, transparency of research findings, as well as to maximize impact and value of publicly-funded research through data reuse.
Of Mythical Beasts and Zero-Embargo Mandates | Advancing Discovery | Springer Nature
Last year, everyone in U.S. academic publishing had strong opinions about a mythical beast that all had heard about but none had actually seen: a rumored Executive Order from the White House Office of Science and Technology that would mandate immediate public availability of research results by federally-funded authors.
Open science should be boosted in 2020 as the number of journals with research data policies increases as a result of collective action by publishers, who are being encouraged to adopt a new common framework for journal data policies.
Researchers Call on EU Institutions to Ensure Free Circulation of Scientific Knowledge
A joint statement calling on EU institutions to ensure the right of researchers to share their research findings without embargoes or restrictions has today been issued by the Young Academy of Europe and other organisations representing early-career and senior researchers in Europe and beyond.
The “A” of FAIR - As Open as Possible, as Closed as Necessary
This work aims to solve accessibility problems related to the protection of personal data in the digital era and to achieve a responsible access to and responsible use of health data. We strongly suggest associating each data set with FAIR metadata describing both the type of data collected and the accessibility conditions by considering data protection obligations and ethical and regulatory requirements.
'We're Opening Everything': Scientists Share Coronavirus Data in Unprecedented Way to Contain, Treat Disease
Normally, science is highly competitive and secretive, with universities and private sector companies patenting knowledge, scientific journals putting research behind paywalls and all research peer-reviewed before the data is released. But for the moment those barriers have fallen as scientists share research and work together to battle this coronavirus epidemic.
Great strides have been made to encourage researchers to archive data created by research and provide the necessary systems to support their storage. Additionally it is recognised that data are meaningless unless their provenance is preserved, through appropriate meta-data. Alongside this is a pressing need to ensure the quality and archiving of the software that generates data, through simulation, control of experiment or data-collection and that which analyses, modifies and draws value from raw data.