AI workflows for research data and computing.
Handling research data so results can be repeated: exploring large datasets, planning simulations and resolving study data queries.
Who does this work
- Research data manager
- Computational scientist
- Research software engineer
Updated
Examples of the workflows identified
- Draft data queries for study discrepanciesIllustrative
- Explore a large research dataset with a reproducible recordIllustrative
- Plan a simulation before reserving computeIllustrative
The workflows identified
Marked illustrative: an example of the work, identified, with no workflow template yet.
Draft data queries for study discrepanciesA list of precise queries with field references, conflicting source values and suggested owners.Illustrative · not built yet
Explore a large research dataset with a reproducible recordAn exploratory summary of a large or many-variable dataset with counts, units, missingness, preprocessing and sensitivity notes, and a reproducible transformation record.Illustrative · not built yet
Plan a simulation before reserving computeA draft simulation plan with equations, acceptance checks, resource limits and a small pilot run.Illustrative · not built yet
Workflow templates
There is no workflow template for research data and computing yet: request one below and we build it with you.
Request this workflow
Tell us the research data and computing work you need and the team that does it, and we build the workflow with you from your own procedures.
Where to go next
All of research and developmentEvery area of the function, with workflow templates and examples.Map your team in the PlannerPut this work in your plan, with the roles that do it.
Other areas of research and development