FAIR-compliant metadata
Structured metadata including experiment identifiers, subject information, paradigm parameters, software version, and model used — formatted for repository ingestion.
JSONXML
← Capabilities
NIH DMS Compliance
Built-in compliance with NIH Data Management and Sharing requirements
ConductVision produces structured, versioned, reproducible data packages that satisfy NIH Data Management and Sharing policy requirements — effective January 2023 for all NIH-funded research.
FAIR
Compliant metadata
Versioned
Analysis parameters
Standard
Repository-ready formats
NIH
DMS policy aligned
The problem
DMS policy compliance is an unfunded mandate for most labs
The NIH Data Management and Sharing policy (effective January 2023) requires structured data sharing plans for all funded research. Most behavioral tracking software was not designed with FAIR data principles or repository submission in mind.
- Tracking software outputs lack standardized metadata
- Analysis parameters are not versioned or reproducible by default
- Preparing data for repository submission requires manual formatting
The solution
Compliance built into the data output pipeline
ConductVision automatically generates FAIR-compliant metadata, versions all analysis parameters, and produces data packages structured for repository submission — no post-hoc preparation required.
- FAIR-compliant metadata attached to every output file
- Versioned analysis parameters ensure reproducibility
- Repository-ready data packages in standard formats
Endpoints
Data packages include everything required for DMS policy compliance.
Versioned analysis parameters
Complete record of all analysis settings — detection model, confidence threshold, zone definitions, behavior classifier — versioned for exact reproducibility.
JSON
Repository-ready data package
Bundled output with data files, metadata, parameter records, and README documentation structured for submission to institutional or public repositories.
ZIPstructured directory
Applications
DMS compliance applies to all NIH-funded behavioral research.
Satisfy DMS plan requirements automatically
Reference ConductVision data output format in your DMS plan. Data packages meet sharing requirements without additional preparation by lab staff.
Measures
- DMS plan compliance
- Auto-generated metadata
- Repository submission
Demonstrate data management competency
Trainees can point to structured, FAIR-compliant data outputs as evidence of rigorous data management practices in fellowship applications.
Measures
- FAIR compliance
- Data organization
- Reproducibility
Standardized data sharing across sites
When all sites use ConductVision, data packages share identical structure and metadata schemas — no harmonization step required for pooled analyses.
Measures
- Cross-site compatibility
- Schema consistency
- Pooled analysis
Direct upload to institutional or public repositories
Data packages include the metadata fields and directory structure that major repositories (DANDI, Figshare, institutional DSpace) expect for behavioral data.
Measures
- Repository compatibility
- Auto-formatted
- DOI-ready
Related capabilities
Data Export and Analysis
Standard CSV/JSON export compatible with any statistical software or analysis pipeline.
External Data Workflows
Re-analyze existing video recordings with ConductVision without re-recording experiments.
Comparative Analysis
Side-by-side feature and performance comparison with EthoVision, ANY-maze, and other tracking platforms.
Meet your DMS requirements without extra work
ConductVision produces compliant data packages as part of normal operation — no additional steps or formatting required.
