To share analysis and results data — reusable outputs generated from raw or primary AD Knowledge Portal data through a process of transformation, analysis, or aggregation — get in touch with the AD-DCC through the Service Desk and select the Add Analytical Outputs request type.
Analysis and results data isn't collected directly — it's created by applying algorithms, statistical methods, or computational processes to existing data. In research contexts, this kind of data is often used to facilitate further analysis, reduce complexity, or protect sensitive raw data.
When to Use This Request Type
Use this request type when you want to share derived data from the AD Knowledge Portal associated with an upcoming publication AND the derived data can't be hosted in the journal's supplement (e.g. the files are too large, require controlled access, etc.).
Refer to How to get a Dataset DOI for your Publication for a more in-depth breakdown of the two pathways to sharing manuscript-related analysis files and outputs.
Metadata for Analysis and Results Data
We collect a minimum set of metadata for analysis and results data, and apply annotations to your files — this is what surfaces your files and links on the AD Knowledge Portal and helps make your data Findable, Accessible, Interoperable, and Reusable (FAIR).
We also encourage you to upload additional documentation — such as a link to your manuscript, analysis code, or a README describing your methods — to provide context for how the analysis was performed and how results should be interpreted.
Questions?
If you're not sure whether your data fits this category, or want help figuring out the right approach for your specific analysis, reach out to us through your Service Desk ticket.