Create, plan, collaborate, and bring your data management plans to life with a tool trusted by thousands of people worldwide — from data management pioneers, to international research institutes.
Data stewardship focuses on tactical coordination and implementation responsible for establishing data-quality metrics and other requirements regarding good data management. The ultimate goal is to provide high-quality data that is easily accessible in a consistent manner.
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Building a data management plan and providing high-quality research data requires many considerations that can be overwhelming and hard to start with. In DSW, you do not have to write a lot of text. Instead, you answer understandable questions in smart questionnaires, get links to external resources, FAIR metrics indications and more. These questions can have some follow-ups based on your answers or can be connected to external resources.
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Nowadays, working in a team is crucial. DSW provides many options on how to share your project with other people. You can work together online, comment questions, and immediately see the changes made by your coworkers. You can quickly see who answered which questions, and all the changes are saved in the version history. You can then label specific versions or come back to any point in history
The Data Stewardship Wizard is recommended in the Horizon Europe Program Guide as a tool that helps researchers understand what is needed for FAIR-oriented data stewardship and build their own Data Management Plans.
Our story started in 2018 with the development of a data management plan (DMP) template targeted at projects generating NGS data at SciLifeLab. We wanted to provide this template to a wider audience and hence needed an online resource. Through the ELIXIR network we knew about the Data Stewardship Wizard, and decided to try it out.
Norwegian funders require that research groups submit data management plans (DMPs) upon signing the contract for their research projects. Generating a DMP has been regarded by many researchers as a mere administrative burden, rather than a tool to revise their habits and support their projects.
BioData.pt is the Portuguese distributed e-infrastructure for biological data and the Portuguese ELIXIR node. Its mission is to support the national scientific system through best practices in data management and state of the art data analysis.
The Institut Français de Bioinformatique (IFB – ELIXIR-FR) installed a DSW instance in the first half of 2021. We are in the process of creating a DMP template targeted to the French bioimagery community and we needed a user-friendly tool to help us build the structure of the DMP, experiment with it, and gather inputs and comments from the various actors.
BioData.pt
Calouste Gulbenkian Foundation
Centre for Digital Life Norway
Chalmers University of Technology
ELIXIR Belgium
ELIXIR Norway
INESC-ID
Institut Français de Bioinformatique
Norwegian University of Life Sciences
Norwegian University of Science and Technology
Open Science Centre of University of Jyväskylä
Research Data Alliance
RNAct
SciLifeLab Data Centre
Universidade de Lisboa
University of Bergen
University of Chemistry and Technology, Prague
University of Oslo
University of TromsøDo you use DSW in your research or is it somehow included in your workflow? We would be happy to hear and publish your success story to inspire others!
If you write a paper where you would like to refer to the Data Stewardship Wizard, we would really appreciate if you cited our DSW paper. Here we provide more details about how to cite us.
We highly appreciate any form of feedback and support from the community. You or your organisation can support DSW development easily using GitHub Sponsors.
The operation and development of Data Stewardship Wizard is supported by ELIXIR CZ research infrastructure (MŠMT Grant No.: LM2018131).
Releases 3.5.0, 3.6.0, and 3.7.0 were supported by the ENVRI-FAIR to develop the FIP wizard to generate FAIR Implementation Profiles.
Releases 2.10.0, 2.11.0 and 2.12.0 were supported by the Centre for Digital Life Norway with funding from the Research Council of Norway under grant agreement 248810.
