DTT Data Dictionary 2022-Present
DTT supports FAIR data principles https://www.go-fair.org/fair-principles/. One component of FAIR is to ensure that data are interoperable with applications and workflows, and in particular, that “(Meta)data use vocabularies that follow FAIR principles”.
In support of this aim, DTT is developing the DTT Data Dictionary (DDD), a list of terms, metadata and endpoints used in DTT studies. The DDD is growing as data are consolidated and will be updated or extended approximately monthly. Older versions and change logs will be available. The DDD contains links to external ontologies or other external IDs where available.
We welcome your comments and suggestions. Please contact CEBS-Support@mail.nih.gov
- Strain (10 KB)
Metadata files with controlled vocabulary are now indicated in the file. Additionally, there are flags in the Excel file that can be used as filters to narrow down possible metadata values. If you do not see what you need please contact CEBS-Support
- Metadata (100 KB)
List of standard combinations of related findings made in histopathology data to increase statistical power