1. Briefly describe the type and amount of data that will be collected or used.

• Modality:
  • What format will your data be in? (imaging, genomic, survey, etc.)
  • What level of aggregation is your data? (individual, aggregated, summarized)
  • Degree of processing. (raw, processed)

2. What Data will be shared.

• Will all or part of your data be shared?  
• Include a rationale for data that are not shared (legal or ethical considerations.
  • To meet the NIH's data sharing requirements you may not need to share all of your data.  However, you do need to clarify what you are not sharing and justify why.  In cases where data cannot be shared, documentation of the study may be sufficient -- as it will help researchers doing comparative work.

3. What metadata and documentation will be included to facilitate interpretation.

• Include:
  • Metadata standards you are using
  • Study protocols, if possible
  • Codebooks
  • Data collection instruments (surveys, case report forms, etc.)

• Enough data to validate and replicate study findings
• Data resulting from the study - even if it did not support a publication.
• Null findings that will not be published.

• Laboratory notebooks
• Preliminary analyses
• Completed case report forms
• Drafts of scientific papers
• Plans for future research
• Peer reviews
• Communications with colleagues
• Physical objects such as laboratory specimens

Always check your funders resources for definitive guidance.