Example

Detailed explanation of the practices on the y axis can be found in the tabs of definition and maturity level of Maturity Assessment Worksheet for Research Data Management General Practices, and the maturity levels on the x axis can be found in the graph below.

Maturity Levels

Maturity levels in the context of research data management (Qin, Crowston and Kirkland, 2017). 

Maturity Assessment Online Forms

Form 1: Data Management General Practices

• This form aims at assessing data management general practices for the entire ISRP and individual projects.

Form 2: Data Acquisition, Processing and Quality Assurance

• This form is used to assess data collection and documentation for each project. 

Form 3: Data Description and Representation

• This form is focused on metadata process areas that involve adopting metadata standards and generating metadata descriptions for each project. 

Form 4: Data Dissemination

• This form is about assessing data sharing, data rights and discovery for each project. 

More Online Forms to Be Added

• Data Preservation

Notes

• All of these forms are based on: 

  Qin, J., Crowston, K., & Kirkland, A. (2014). A Capability Maturity Model for Research Data Management. Syracuse, NY: School of Information Studies, Syracuse University. https://surface.syr.edu/istpub/184/

• Self-assessment is conducted annually.

Resources

• FAIR data self-assessment tool
• FAIR-aware
• Data stewardship
• https://fairassist.org/tools
• MRC CoRE research culture maturity model
• Maturity Matrix for Research Funding Organizations
• Data Management Maturity Model