- Data management planning
- Data workflow development
- (Domain-specific) standards in data management
Software Management
- Software management planning
- Workflow development
- Software management standards
Open Science
- Opportunities and implementation in everyday research
- Open data, open software, science communication
- Using licenses
Data Reuse
- Finding data: research strategies, suitable data sources
- Evaluating data quality
Data Documentation and Metadata
- Selection of suitable metadata
- Development of metadata schemas
- Data documentation using Readme, Markdown, or Zettelkasten system
- Use of RDF, XML, JSON
- Use of metadata standards such as DCAT, GeoDCAT, ISO 19115, ISO 8601, PROV-O, and DQV
Data preparation and visualization
- Using Open Refine and Tidy Data
- Using TEI
- Using OCR
- Data modeling with RDF (semantic data)
- Data visualization with QGIS, P5.js, Affinity, and Inkscape
- Word processing with LaTeX
Data analysis
- Use of Python and JavaScript
Data publication
- Data curation and processing
- Finding and using repositories (subject-specific and general-purpose, especially Zenodo)