
Enrich your competencies in digital research methods and tools through the Digital Research certificate programme.
Computers have played a key role in research for many decades. Today they are essential elements of the research process, across almost all disciplines. They enable researchers to collect and process ever larger amounts of data. The increasing prevalence of computation and digital data analysis in research means that researchers of all career stages need digital skills that go far beyond what is typically taught in traditional degree programmes.
To close this gap, zedif offers advanced training courses on these topics. zedif already issues certificates of attendance for all individual courses. Beyond that, with the Digital Research Certificate it is possible to show participation in a selection of these courses with just a single document. This course selection must cover a certain number of workshops as well as a certain range of topics:
- At least 3 workshops must have been taken from each of the three pillars:
- Research data management
- Research software, data processing and analysis
- Publication and presentation
- A total of at least 15 workshops or 5 ECTS-equivalent points must have been taken through workshops in the entire certificate programme.
There is no limit to the period during which the certificate can be obtained. However, the aim should be that course completion and certificate completion should not be more than five years apart. No registration is required for the certificate. If you have fulfilled the requirements for the certificate, please contact us.
The following table shows sample courses and their allocation to the three pillars. Actual course names may differ. Likewise, workshops that are not listed here but correspond thematically to those listed below (e.g. ‘Programming in language X’) can be credited as well. All of the courses listed here are offered in the qualification portalExternal link, but not necessarily provided by zedif.
Legend:
- RDM: Research Data Management
- RSE-DA: Research Software (Engineering), Data processing and -analysis
- PP: Publication und Presentation
RDM |
RSE-DA | PP | Example Courses |
x | Data management plans | ||
x | Research Data Management | ||
x | Electronic Lab Notebooks: Chemotion | ||
x |
Electronic Lab Notebooks: eLabFTW |
||
x | Data Protection | ||
x | Spreadsheets | ||
x | OpenRefine | ||
x | x | x | good scientific practice |
x | command line | ||
x | Git | ||
x | Gitlab | ||
x | Docker | ||
x | High-Performance-Computing | ||
x | Writing weeks | ||
x | x | Data and software licensing | |
x | Adobe Indesign | ||
x | LaTeX | ||
x | Gephi | ||
x | SPSS | ||
x | Machine Learning | ||
x | Python (all courses, except visualisation) | ||
x | x | Visualisation with Python | |
x | R | ||
x | Julia | ||
x | SQL |