The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.
All data is in scope, whether born digital or converted from other sources.
A Drexel Metadata Research Centre and CODATA workshop on knowledge sharing between research communities and research institutions
Sun 31 March and Mon 1 April 2019, Drexel University, Philadelphia, USA, as pre-event to the 13th RDA Plenary
Call for Papers, deadline, 18 February: https://conference.codata.org/Drexel_CODATA_2019/
Places limited, register at: http://bit.ly/Drexel-CODATA-Workshop-Register
Responsible data management embodies the FAIR principles of making data findable, accessible, interoperable, and reusable. FAIR has helped focus minds and provided readily adopted terminology and guidelines, which in turn will help realise the benefits of accelerated analysis, with machines, at scale. In consequence, research communities and research institutions are faced with the task of rising to the challenge of FAIR and responsible data management.
The aim of this workshop is to bring together researchers, data management experts, policy leaders and to facilitate knowledge sharing between research communities and between institutions. Perspectives from all domains and from research institutions are in scope. At least one session will examine progress in the biomedical community and lessons to be learnt, particularly in relation to good practice and mechanisms for controlled sharing of sensitive and restricted data.
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Posted on 11 Feb 2019
The Research Data Alliance (RDA) is an international member based organization focused on the development of infrastructure and community activities that reduce barriers to data sharing and exchange, and the acceleration of data driven innovation worldwide. With more than 6,900 members globally representing 137 countries, RDA includes researchers, scientists and data science professionals working in multiple disciplines, domains and thematic fields and from different types of organisations across the globe.
This special collection aims to collect and give visibility to research results and outcomes stemming from RDA activities.
In particular, it solicits high quality papers describing the latest results of RDA working groups (WGs) or interest groups (IGs) that have recently produced an output, including recommendation and associated use cases that could highlight the added value of RDA work in the data related fields.
The scope of the special collection is to become a point of reference for experts from the international community that are committed to directly or indirectly enabling data sharing, exchange, or interoperability. The aim is to promote the work carried out in IGs and WGs and bring the results obtained to the global data expert community. Specific tools, code, best practices, standards, surveys, recommendations, reports, and WG case statements will be brought to a larger audience via the peer-reviewed, open access Data Science Journal.
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Posted on 19 Jun 2018
International Data Week 2018: deadline for papers and poster abstracts for SciDataCon, 25 June: consult the Call for Papers and the Accepted Sessions.
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Posted on 04 Jun 2018
08 Feb 2019
23 Jan 2019
15 Jan 2019
15 Jan 2019