The Data Stewardship wizard (DSW-ELIXIR) tool , developed by the European Network ELIXIR-Converge, is designed to improve data management practices and support openness in research.
We are preparing to implement the DSW tool at UNIL in collaboration with UNIRIS (link) and the Computing and Research Support Division (DCSR) starting January 2025. This deployment will be tailored for FBM UNIL – CHUV researchers, aiming to enhance data management practices and evaluate adherence to FAIR (Findable, Accessible, Interoperable, Reusable) principles.
Key Features and Benefits of the DSW Tool:
- Customized Models: We are developing specific life-science and biomedical knowledge models within the DSW framework to meet the needs of FBM UNIL-CHUV researchers. This customization ensures that the tool is relevant to your research context.
- Integration with SNF Requirements: The DSW tool helps in creating Data Management Plans (DMPs) by aligning questions with research cycle phases and integrating responses into the SNF template, ensuring compliance and efficiency.
- Training and Support: Our BiUM training programs use the DSW tool to offer researchers a robust solution for managing their data. This support helps in organizing, documenting, and assessing research data, contributing to transparent and reproducible research practices.
- Collaborative Editing: The tool supports a collaborative editing environment, which facilitates effective teamwork and enhances collaborative efforts among researchers.
- Precision in Data Management: The DSW tool allows for detailed specification of data management practices, promoting adherence to best practices and FAIR principles. By integrating metrics with each question set, it provides insights into data management practices.
- Localized Resources: We are creating project models and knowledge resources tailored to Swiss researchers, including links to Swiss tools and resources like those from the Swiss Personalized Health Network (SPHN). This ensures access to relevant and localized information.
- FBM Data Sharing Database: A centralized database will be developed to catalog primary data generated at our faculty. This resource will provide guidance on file format standards, disciplinary metadata, and recommend relevant disciplinary repositories to share your data.
- Advanced Functionality: The DSW tool includes features that allow us to create and adjust targeted questions, generate nested inquiries based on user responses, and incorporate explanatory text and links. This flexibility helps in adapting the tool to your specific research needs.