A Data Management and Sharing Plan outlines the scientific data to be generated for a longitudinal study of cognitive and biological aging in midlife and older sexual and gender minority adults. The plan describes the data and its management strategy, authored by Lauren Gaydosh from ODUM Harvested Dataverse. The plan was last updated on May 18, 2026.
Use Cases
- Analyze longitudinal trends in cognitive decline based on repeated assessments mentioned in the description
- Study biological aging markers in sexual and gender minority adults based on the described biological data
- Investigate health disparities in aging populations based on demographic and health variables likely collected
- Develop predictive models for aging outcomes based on combined cognitive and biological data
Strengths
- Focuses on a longitudinal study design, which allows for tracking changes over time
- Addresses a specific and underrepresented population: midlife and older sexual and gender minority adults
- Includes a formal Data Management and Sharing Plan, which suggests structured data governance
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- ODUM Harvested Dataverse
- Collection Method
- Likely collected through a longitudinal research study, as described in the plan.
- Freshness
- Last updated 2026-05-18 03:10:16; freshness should be verified