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As a part of our commitment to encourage open and reproducible research, we have updated our editorial policies and author guidelines to move towards more open data, methods, and code when appropriate.

In brief, our policies now include sections on:

• Open Data: If data has been produced as part of the research, it should be deposited in an open repository.
• Structured Methods: If an in-paper Methods section is not adequate to realistically and accurately replicate research, authors are encouraged to provide a detailed 'structured methods' on protocols.io, which will allow for more detail, discussion, versioning, and reuse.
• Open Code: If research includes code, statistical analyses, or algorithms, we recommend that authors upload a working instance of their code and data to Code Ocean, which will allow users to replicate the results without any need to install software.

We believe these changes will help to increase the value, impact, and transparency of the research, as well as aid the transition to a more open research environment as a whole.

Read our reproducibility guide for more information on best practice and maximising the impact of your open data.

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.

Want to know more? Click here!

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.

Want to know more? Click here!