Data Stewardship Wizard
Data Stewardship Wizard facilitates creation and evaluation of Data Management Plans (DMPs) that align with FAIR Open Science principles to support findable, accessible, interoperable, and reusable research data.
Key Features:
- Overview of Leading DMP Tools: Provides organized overviews of leading Data Management Plan (DMP) tools and their key characteristics.
- Emerging Standards for Machine-Actionable DMPs: Highlights emerging standards for machine-actionable DMPs to enable automated processing and interoperability.
- Integration with FAIR Principles: Positions DMPs to support the Findable, Accessible, Interoperable, Reusable (FAIR) principles across the research data lifecycle.
Scientific Applications:
- FAIR-aligned DMP creation: Supports creation of DMPs that align with FAIR Open Science principles to improve data findability, accessibility, interoperability, and reusability.
- Machine-actionable DMP adoption and automation: Facilitates adoption of machine-actionable DMP standards to enable automated processing and integration of DMP metadata.
- Comparative evaluation of DMP tools: Enables comparison and selection of appropriate DMP tools based on organized presentation of tool characteristics.
Methodology:
Aggregates overviews of DMP tools and highlights emerging standards for machine-actionable DMPs to support automated processing and integration within FAIR data ecosystems.
Topics
Collections
Details
- License:
- Apache-2.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Programming Languages:
- Haskell, Elm, Python
- Added:
- 2/28/2020
- Last Updated:
- 6/13/2022
Operations
Publications
Pergl R, Hooft R, Suchánek M, Knaisl V, Slifka J. “Data Stewardship Wizard”: A Tool Bringing Together Researchers, Data Stewards, and Data Experts around Data Management Planning. Data Science Journal. 2019;18. doi:10.5334/dsj-2019-059.
Jones S, Pergl R, Hooft R, Miksa T, Samors R, Ungvari J, Davis RI, Lee T. Data Management Planning: How Requirements and Solutions are Beginning to Converge. Data Intelligence. 2020;2(1-2):208-219. doi:10.1162/dint_a_00043.
Gajbe SB, Tiwari A, Gopalji, Singh RK. Evaluation and analysis of Data Management Plan tools: A parametric approach. Information Processing & Management. 2021;58(3):102480. doi:10.1016/j.ipm.2020.102480.