"Domain Data Protocols" a key to your FAIR data

Research data management (RDM) has become a vital element to advance open science via data sharing and reuse. To improve RDM, research organisations (research funders, councils, universities, academies, institutes, etc.) increasingly require researchers to develop a Data Management Plan (DMP) for their project proposals or for research evaluations. While researchers and research projects usually recognise the benefits of better RDM, describing your standards, repositories, and data-policies in a DMP, most of the times in a non-committal way, is often considered a burden. Domain Data Protocols (DDP) are intended to make life easier for researchers as well as for research organisations demanding DMPs. They essentially give guidelines or directives for data management for a particular domain, agreed upon by a research community and/or the organisations demanding a DMP. The fact that communities collectively set the standards and guidelines for DMPs also means that there are great opportunities to increase the FAIRness of research data in these respective communities. Within EOSC-hub and the EOSC community at large, the use of Domain Data Protocols in Data Management Plans will boost the developments around FAIR data

The DANS services for sharing, cataloguing and archiving your health data

DANS (Data Archiving and Networked Services) is the Netherlands institute for permanent access to digital research resources. DANS encourages researchers to make their research data and related digital outputs Findable, Accessible, Interoperable and Reusable (FAIR). To realise our mission, DANS provides expert advice and certified services. DataverseNL is the DANS service for short‐term data management, EASY our long‐term data archive, and NARCIS the national catalogue service for scholarly information. Training and consultancy services are provided for generic Research Data Management and Data Management Planning. More specific training sessions focus on repository certification, metadata standards, software sustainability and knowledge organisation systems. The (coordinating) activities of DANS in (inter)national projects and networks, ensure constant innovation and a state‐of‐the‐art knowledge on infrastructural data developments. Although the roots of DANS are within the humanities and social sciences, most DANS services are generic services relevant for nearly all scientific disciplines, including the life and health sciences. As part of the Dutch national e‐infrastructure for research data, DANS is involved in several projects and initiatives around health data, often acting at the cross roads between the life and social sciences. Also, the DANS training activities touch upon the developments around health data. Cataloguing the Dutch “zorggegevens” in NARCIS, or the DANS training modules in the Helis Academy FAIR data stewardship course, are examples of specific DANS contributions to the life and health sciences. The DANS poster presentation provides an overview of the DANS services of interest to the owners and custodians of health data, including examples of relevant recent projects. DANS invites participants of the Health‐RI 2020 conference to probe how DANS could support the sharing, cataloguing and archiving of their health data

“Stap voor stap richting een nationale data-infrastructuur”: DANS lanceert domeingerichte Data Stations

Op verzoek van onderzoekers en dataprofessionals bewaart DANS bijna 200.000 datasets gegarandeerd duurzaam. Het KNAW/NWO-instituut is sinds 2006 een belangrijke speler binnen de Nederlandse en wereldwijde onderzoeksgemeenschap. De komende periode gaat DANS domeingerichte Data Stations aanbieden, diensten die zijn toegesneden op de behoeften binnen wetenschappelijke disciplines. Daarmee wordt DANS naast een archief voor datasets uit voltooide onderzoeksprojecten, ook een omgeving waarin onderzoekers datasets kunnen vormen, bewerken, analyseren en delen

DANS Data Game: Digital or Visual

DANS has developed a game especially for researchers: the DANS Data Game. The game gives an impression of the research data landscape and was specially produced for the 15th anniversary of DANS in 2020. The game is available in .pdf, DANS can send the game via postorder and the game can be played online. Visit dans.knaw.nl for more information

D8.5: EOSC Stakeholder Engagement Report

This document reports on the engagement activities undertaken in the EOSCpilot project and highlights good examples of engagement per stakeholder category. Intentional overlaps exist in certain categories, because a need for interconnection and active dialogue between stakeholder categories was identified early on as a significant issue for successful engagement. This report details the outcomes of the engagement activities throughout the project, following the structure of D8.2 Stakeholder Identification & Engagement Strategy Plan. It provides best practices of engagement by Stakeholder Group, as initially identified and mapped in the first period of the project. The report concludes with a set of recommendations for engagement of the EOSC stakeholder groups after the end of the EOSCpilot project

Raising the Profile of Research Software

Research software is fundamental to contemporary research, yet it does not receive the recognition it rightfully deserves. This needs to change, particularly in the context of the discussions around open science and reproducibility. We argue that if open science is to truly lead towards better, more transparent, and reproducible research, then research software needs to be treated in equal footing to research data and publications at the policy level