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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.
Researchers are rushing to pool resources and data sets to tackle the pandemic, but the new era of openness comes with concerns around privacy, ownership and ethics.
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.
To deepen understanding of researchers’ priorities with regards to sharing research data, PLOS has launched a new study.
For years, the Swiss National Science Foundation and other organisations have been demanding open science as the new normal. The corona crisis drastically confirms the validity of this demand.
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.
Scientists are rapidly analyzing genetic samples from infected patients and sharing the data. But to move too fast is to risk making mistakes.
Coronavirus Disease (COVID-19) is a new global problem. This is our overview of the early research and data on the outbreak. We will extend this page in the days ahead.
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.
The coronavirus crisis shows how the free sharing of data is crucial in science.
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.
This article proposes measures and policies which can be adopted by journals and publishers to promote good practices in data sharing.
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.
This article elaborates on the role of research funding organizations in developing a FAIR funding model to support the FAIR research data management in the funding cycle.
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.
In this special issue, the original conception of the FAIR data principles and what they are intended to cover is explained in detail.
Large investments are needed to make research data open and accessible but tackling global problems depends on it, says Paul Ayris
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.
The EOSC FAIR Working Group is examining researcher practice and developing a PID policy, metrics, certification guidelines and an Interoperability Framework to implement a web of FAIR data in EOSC.
A call on researchers, journals and funders to ensure that research findings and data relevant to this outbreak are shared rapidly and openly to inform the public health response and help save lives.
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.
Approaches for assessing the costs and benefits of publishing scientific data in various repositories are evaluated. The article identifies metrics useful for the reporting of their data services.
In this post, Mark Hahnel presents findings from the largest continuous survey of academic attitudes to open data and suggests that as well promoting data sharing, it may also have inadvertently fed into the publish or perish culture of research.
We explore the components that can support reproducibility by making research more easily verifiable: data, code, and protocols.
UK health service will not gain commercial benefit from future Amazon products using its data
This blog post is a joint announcement of an initiative by several publishers in collaboration with Fairsharing and DataCite to help authors select appropriate data repositories.
