Data Narrative for [INSERT DATASET NAME HERE]

Important Links (should all be on GitHub):

• Data Processing Flow Diagram:
  • Flow diagram that describes the lifecycle of this dataset
• DSR GitHub Project Page(Curation/Validation and Processing Queue Status):
  • Cards for tracking the curation and validation portion of the dataset. This page should be updated every time you perform an action on the data.
  • Cards for tracking the progress of containerized pipeline runs on the data.

Plan for the Data

• Why does PennLINC need this data?
• For which project(s) is it intended? Please link to project pages below:
• What is our goal data format?
  • i.e. in what form do we want the data by the end of the “Curation” step? BIDS? Something else?

Data Acquisition

• Who is responsible for acquiring this data?
• Do you have a DUA? Who is allowed to access the data?
• Where was the data acquired?
• Describe the data. What type of information do we have? Things to specify include:
  • number of subjects
  • types of images
  • demographic data
  • clinical/cognitive data
  • any canned QC data
  • any preprocessed or derived data

Download and Storage

• Who is responsible for downloading this data?
• From where was the data downloaded?
• Where is it currently being stored?
• What form is the data in upon intial download (DICOMS, NIFTIS, something else?)
• Are you using Datalad? If so, at which point did you check the data into datalad?
• Is the data backed up in a second location? If so, please provide the path to the backup location:

Curation Process

• Who is responsible for curating this data?
• GitHub Link to curation scripts/heurstics:
• GitHub Link to final CuBIDS csvs:
• Describe the Curation Process. Include a list of the initial and final validation errors and warnings.
• Describe additions, deletions, and metadata changes (if any).

Preprocessing Pipelines

• For each pipeline (e.g. QSIPrep, fMRIPrep, XCP, C-PAC), please fill out the following information:
  • Pipeline Name:
  • Who is responsible for running preprocessing pipelines/audits on this data?
  • Where are you running these pipelines? CUBIC? PMACS? Somewhere else?
  • Did you implement exemplar testing? If so, please fill out the information below:
    • Path to exemplar dataset:
    • Path to exemplar outputs:
    • GitHub Link to exemplar audit:
  • For production testing, please fill out the information below:
    • Path to production inputs:
    • GitHub Link to production outputs:
    • GitHub Link to production audit:

Post Processing

• Who is using the data/for which projects are people in the lab using this data?
  • Link to project page(s) here
• For each post-processing analysis that has been run on this data, fill out the following
  • Who performed the analysis?
  • Where it was performed (CUBIC, PMACS, somewhere else)?
  • GitHub Link(s) to result(s)
  • Did you use pennlinckit?
    • https://github.com/PennLINC/PennLINC-Kit/tree/main/pennlinckit

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