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The BMBF project OPTIMETA aims to strengthen the Open Access publishing system by connecting open citations and spatiotemporal metadata from open access journals with openly accessible data sources.
Collectively referred to as Data Together, the four collaborating international data organisations-CODATA, GO FAIR, RDA, WDS-have a joint commitment to work together to optimise the global research data ecosystem and to identify opportunities that will trigger federated infrastructures to service the new reality of data-driven science.
Wikidata is a language-independent factual database belonging to the Wikimedia family which includes the particularly well-known Wikipedia. In an interview, Timo Borst explains the dimensions and particular significance of this database, especially in the context of Open Science.
Data sharing was a core principle that led to the success of the Human Genome Project 20 years ago. Now scientists are struggling to keep information free.
Lab and Study Protocols, two new article types at PLOS ONE that provide recognition for methods contributions, are now open for submission.
Lengthy battle over regulators' use of confidential data ends in Montana courtroom.
The National Information Standards Organization (NISO) today announces the publication of its Recommended Practice on Reproducibility Badging and Definitions. This new Recommended Practice provides a set of recognition standards that can be deployed across scholarly publishing outputs to easily recognize and reward the sharing of data and methods.
The SSH Open Marketplace is discovery portal designed to offer social sciences and humanities researchers the tools, software, datasets, training materials, and workflows they need to manage their data.
2020 wasn't all bad. In April of last year, we released our first public data file. Though Crossref metadata is always openly available--and our board recently cemented this by voting to adopt the Principles of Open Scholarly Infrastructure (POSI)--we've decided to release an updated file.
Persistent identifiers (PIDs) provide unique and long-lasting references to entities. They enable unique identification persistently over time and hence play a crucial role in supporting the FAIR principles.
The extraordinary effort to speed the development of treatments and vaccines in response to the COVID-19 pandemic has put into sharp relief the need for the global science community to share scientific data openly.
Paper describe how LU builds up its support for FAIR data before, during and after research through its involvement in leading practices, training and consultancy and end with recommendations for other universities wanting to implement the FAIR principles.
The Open Data Day 2021 will take place on 6th March. It is the annual global celebration of open data facilitated by the Open Knowledge Foundation.
The FAIR principles answer the 'How' question for sharing research data, but we also need consensus on the 'What' question.
To help make the arXiv more accessible, a free, open pipeline on Kaggle to the machine-readable arXiv dataset: a repository of 1.7 million articles, with relevant features such as article titles, authors, categories, abstracts, full text PDFs, and more is made available.
Scientists and science publishers are sharing information as fast as they can during the COVID-19 pandemic. Speed and openness bring new challenges, but they are the way forward for research.
The value of open and interoperable metadata of scientific articles is increasingly being recognized, as demonstrated by the work of several organizations, funding agencies, and initiatives.
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.
Code for Science & Society aim to improve access to open data science practices and tools and support communities in open data science to grow sustainably and inclusively.
How can repositories contribute to their FAIR share? A Virtual workshop on June 1st about Equity and democratization of knowledge.
