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Research Data Management

We support systematic and secure research data management (RDM) in line with international standards and FAIR principles. We work closely with other FNUSA departments (Biostatistika, ÚI, DPO, GO).

What we can help you secure

  • consultations on grant applications and their data‑management requirements 
  • recommendations of suitable storage solutions and repositories 
  • setting up data sharing in accordance with FAIR principles and sensitive‑data protection 
  • guidance on legislation (GDPR, research‑data ethics) 
  • support for archiving and long‑term data preservation 
  • ensures research quality and reproducibility 
  • protects sensitive and personal data 
  • facilitates data sharing and reuse 
  • is often a mandatory component of grant projects 

Detailed information is available in the e‑learning Research Data Management course.

Data‑Management Plans and DS Wizard

A DMP (data‑management plan) is a document that describes how research data will be handled during a project/research. A DMP should be a “living” document that is continuously updated to reflect what actually happens to the data.

Why create a DMP

  • helps anticipate potential problems 
  • verifies that all necessary equipment and support are in place 
  • reduces the risk of duplicated work, data loss and security breaches 
  • guarantees that data are accurate, complete, precise and reliable 
  • facilitates data sharing 
  • ensures continuity of long‑term projects (e.g., when doctoral students rotate) and consistency across multi‑author projects 
  • meets the requirements of funders (e.g., AZV, GA ČR, Horizon Europe and others) 

For planning you can use the tool DS Wizard. We are happy to assist you with the tool and with drafting the plan itself. 

FNUSA Network and Cloud Storage 

Available for FNUSA and ICRC

Advantages

• centrally managed access and IT‑department administration
• backup and security options available
• suitable as primary storage

Examples

• shared drives, NAS
• FNUSA Drive (basic capacity 10 GB; for larger capacity contact IT at it@fnusa.cz)

Recommendation

• Primary choice for storing sensitive research data.

Advantages
• high level of security 
• advanced access control 
• suitable for larger projects 
Examples
• CESNET infrastructure 
• specialised storage services (e.g., SensitiveCloud for highly confidential data)

Long‑term archiving and sharing can be performed in discipline‑specific repositories, taking into account the sensitivity of the data. Examples include OpenNeuro, Vivli for clinical studies, and many others. We can advise on repository selection and legal issues together with colleagues from Biostatistics, the Legal Department and the DPO. If no discipline‑specific repository exists for your data, you may also use our community repository on Zenodo. 

Do you have a question? Contact us.