Data Stewardship Wizard Workshop (Feb 2020)

Data Stewardship Wizard brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into per-project questionnaires to be filled by researchers.

Apart from interactively going through questionnaires that show only relevant questions to the user, the questionnaires can be easily edited or customized using an inheritance hierarchy. The benefit lies not only in having a (nowadays often obligatory) DMP for funders but mainly learning how to handle data correctly, make them FAIR, maintain them well during the project, and curate them long-term.

This workshop explains the core functionality of the Data Stewardship Wizard.

Video recording from the workshop is available here.

Scientific topics: Data management, Data governance

Keywords: Data management plan, data stewardship, FAIR, data management, software tools

Resource type: Video, Webinar, Slides

Target audience: Researchers, data stewards

Difficulty level: Beginner

Licence: Creative Commons Attribution 4.0

Authors: Jan Slifka

DOI: 10.5281/zenodo.3689221

External resources:
Data Stewardship Wizard Workshop (Feb 2020) https://tess.elixir-europe.org/materials/data-stewardship-wizard-workshop-feb-2020 [Data Stewardship Wizard](ds-wizard.org) brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into per-project questionnaires to be filled by researchers. This workshop explains the core functionality of the Data Stewardship Wizard. Video recording from the workshop is available **[here](https://www.youtube.com/watch?v=aGpr6JFMuiE)**. Data management Data governance Data management plan, data stewardship, FAIR, data management, software tools Researchers data stewards