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.
To ensure optimal use of DSW-ELIXIR, PIs must first contact our team. We will assist in setting up and customizing the platform to meet the specific needs of your laboratory. Additionally, we offer personalized training sessions for lab members, ensuring that everyone is well-prepared to utilize DSW-ELIXIR tool effectively and efficiently in their research workflows.
Key Features and Benefits of the DSW Tool for FBM UNIL-CHUV researchers:
- 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 SNFS 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 DSBU 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.
- FBM Data Sharing Database: A centralized database will be developed to catalog primary data generated at FBM faculty. This resource will provide guidance on file format standards, disciplinary metadata, and recommend relevant disciplinary repositories to share your data.