Project deliverable Open Access
D6.5 Report on three annual schools in core data skills for researchers
Bezuidenhout, Louise;
Shanahan, Hugh
This report provides a summary of the three schools run for early career researchers (ECRs) during the FAIRsFAIR project. The curriculum provides a broad but shallow introduction to the necessary technical and social skills in Data Science for Early Career Researchers. In particular there are modules in Open and Responsible Research, Software Carpentry (the Unix command line, R or Python, git), Research Data Management, Visualisation, Information Security, Machine Learning, Author Carpentry and Computational Infrastructures. The schools were originally designed to be an intensive two week school run on a face to face basis.
| Name | Size | |
|---|---|---|
|
D6.5_annual_schools_in_core_data_skills_for_researchers_20220222_v1.0.pdf
md5:5fefe1834afcd52da73bb0716e91e232 |
240.5 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 96 | 53 |
| Downloads | 63 | 32 |
| Data volume | 15.1 MB | 7.7 MB |
| Unique views | 89 | 51 |
| Unique downloads | 57 | 31 |
- Publication date:
- February 22, 2022
- DOI:
-
- Keyword(s):
- Data Skills Training
- Grants:
-
European Commission:
- FAIRsFAIR - Fostering FAIR Data Practices in Europe (831558)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International