• Sketch your Data Management Plan (what data, where, who’s responsible, costs).
• Assign roles (who collects, documents, stores, shares).
• Budget time/money for storage, documentation, and preservation.

Practical guidance and examples to help you develop your Data Management Plan
DMPonline - A tool to easily create, edit, share, and review DMPs

• If working with people’s data: plan consent, ethics, and GDPR from the start.
• Prefer open, durable file formats where possible.
• Capture data quality steps (calibration, versioning, who can edit).

At PWr, please consult the Data Protection Officer (IOD) for guidance on personal data: iod@pwr.edu.pl. 

• Include a simple README or codebook with “what’s in here” and how to interpret it.
• Add minimal metadata (creator, date, methods, variables, units).
• Use a disciplinary standard when one exists.

RDA – Metadata Standards Catalog
Data README guide

• Choose working storage that’s secure and backed up; control access.
• Follow the 3–2–1 rule: 3 copies, 2 media types, 1 off-site.
• Review who has access (especially external collaborators).

ENISA – Boosting your organisation’s cyber resilience (incl. 3-2-1 rule)
gov.pl – “Jak nie stracić swoich danych: kopie zapasowe w pigułce” (zasada 3-2-1)

• Pick a suitable repository (discipline, generalist, or institutional).
• Add a DOI for citability and choose an appropriate license for data/code.
• Check retention rules for long-term preservation.

re3data – Registry of Research Data Repositories
DataCite – DOI basics
Creative Commons – License Chooser
RepOD – How to deposit data