Analyze & Collaborate Stage

Analyze & Collaborate Stage

Analyze & Collaborate Stage

Analyze and Collaborate Stage – Summary Table

Category	Details & Best Practices
Stage Purpose	Inspect, clean, transform, and model data to generate insights, draw conclusions, and support research decision‑making, while ensuring data remains high‑quality, reproducible, and reusable.
Importance	Decisions and practices at this stage directly impact analysis quality, long‑term usability, FAIR compliance, and EU funder reproducibility requirements.
Document Every Step	- Record all data processing and transformation steps for reproducibility.- Use Electronic Lab Notebooks (ELNs), collaborative tools, or workflow‑tracking software (Jupyter, R Markdown, Galaxy, OMERO).- Capture: • Scripts, pipelines, and commands• Software versions and dependencies• Parameters or filtering applied- Thorough documentation supports UCPH Open Science and Horizon Europe/ERC compliance.
Ensure Data Safety & Organization	- Annotate datasets as you analyze them; maintain clear folder structures and file naming conventions.- Store data in secure UCPH/reNEW solutions: ERDA, high‑security servers, SharePoint for collaboration.- Separate raw vs processed datasets to protect originals.- Export or convert proprietary formats to open formats (CSV, TIFF, JSON) for interoperability and future reuse.
Facilitate Collaboration & Sharing	- Share intermediate data using controlled, collaborative platforms (internal or approved external).- Implement explicit permissions and version control to prevent accidental overwriting.- Comply with GDPR for sensitive or personal data.- Aligns with EU funder (Horizon Europe, ERC) reproducibility and sharing expectations.
Benefits	- Ensures data integrity and transparency.- Enhances reproducibility and team collaboration.- Prepares datasets for publication or repository deposition, supporting long‑term impact and reuse.