Research Data Management

Research Data Management

Research data management - good practices

Collecting data

  • Make sure if you can use existing data to avoid unnecessary duplication of research
  • Use a consistent and clear method of describing files and folders so you can find and recognize their contents
  • Plan where you will store the data during the research

Fahrenheit University research apparatus search engine

A tool for organizing and cleaning up data

Documentation

  • At the stage of research - description of methodology, procedures, instruments and tools
  • At the database stage - read-me file, metadata
  • Good metadata should be findable by humans and algorithms - standardized, consistent, interoperable

Search engine for domain metadata standards

Security

  • Physical security - against unauthorized access, destruction, media damage, theft
  • Digital security - strong password, back-up on a 3-2-1 basis (3 copies, 2 media, 1 in another location)
  • Sensitive data - encryption, anonymization, strictly controlled and limited access

Data anonymization tool

Sharing

  • It is recommended that research data be made available in a trusted, preferably certified research data repository
  • Find out if the repository assigns a permanent, unique identifier (e.g. DOI), what are the possible costs of depositing, what is the acceptable file size, formats, metadata standards
  • Look for a domain-specific repository first - because of scientific impact, citations

Searching for a domain research data repository - instructional video
 

Contact the Data Steward

Research Data Management and Open Science Section

tel. 58 523 32 67

dane.badawcze@ug.edu.pl
 

Feel free to contact us!

View changelog

Submitted on Thursday, 19. September 2024 - 15:53 by Witold Warsiński Changed on Friday, 20. September 2024 - 09:45 by Jolanta Wittstock