EDRN Roles and Responsibilities for Making Data FAIR
Responsibility | Investigators | JPL | NCI | DMCC | Future Needs |
---|---|---|---|---|---|
(F)indable |
Submit data to JPL in a timely manner along with metadata; verify completeness |
Capture, ingest, and post data and metadata so it is accessible; catalog metadata for search |
Enforce that data is delivered per the data management plan |
Data tracking for EDRN Validation and Reference Set studies |
Require all data is delivered per a data management plan (completeness) |
(A)ccessible |
Identify sensitivity and sharing of data (e.g., public vs study) |
Configure access to data based on sensitivity of data; ensure it can be accessed by the right groups |
Enforce that data is made public per the NCI policy. |
Notify JPL of Validation and Reference Set data and metadata. |
Require that data be made public per NCI policies |
(I)nteroperable |
Structure data so it can be integrated with other data; Validate data when posted to LabCAS |
Provide API and tool access for data integration; support search; Link with other data via metadata |
Enforce that meets specific structure requirements, where applicable |
Support statistical analysis of validation study data, including structure of data |
Enforce that data standards are followed including appropriate metadata and structured data |
(R)eusable |
Structure data for reuse Validate data in LabCAS Need to deliver any required software Provide documentation |
Provide ability to run central pipelines to support repeatable processing of derived data |
Enforce sites meet usability process/requirements |
Support analysis of validation study data |
Include a process to ensure usability of data and metadata (e.g., peer review to validate quality, a reusability test); capture documentation and software |