Academic Culture
Data Policy and Planning
How does the agency encourage uptake of robust, reproducible DIR?
What incentives are provided for proactive curation of data and metadata?
How does the agency encourage the spread of disciplinary best practice and consensus?
Does the agency mandate submission of Data Management Plans (DMPs) with funding proposals? If so, how are these assessed and by whom? To what extent do DMPs affect the outcome of the proposal? How does the agency monitor compliance with DMPs?
Notes
Is there more to do in this area?
Yes
No
Capture and Collection (Primary Data)
What guidance is available on minimum metadata and documentation requirements for primary data?
Notes
Is there more to do in this area?
Yes
No
Processing and Analysis (Intermediate Data)
How are quality control, security, validation and integrity checks encouraged during the processing and analysis stage?
What guidance is there on minimum metadata and documentation requirements for intermediate data?
How are grant holders encouraged to make methodologies and processing workflows available to others?
Notes
Is there more to do in this area?
Yes
No
Data Curation
Who is responsible for ensuring the security, quality, validity and integrity of the data at the time of deposit?
Who is responsible for ensuring the quality, validity and integrity of metadata?
Notes
Is there more to do in this area?
Yes
No
Publication and Sharing
How is knowledge transfer encouraged within the sub-discipline/discipline?
How does the agency reward or recognise researchers for publishing and sharing research data?
How are researchers rewarded or recognised for making research data reusable?
Notes
Is there more to do in this area?
Yes
No
Reuse and Impact
What incentives are provided for reusing and repurposing existing data?
Notes
Is there more to do in this area?
Yes
No
Back to funder perspective