
Version control makes changes to files/data traceable. As such, it is a very useful tool for working collaboratively on a project. This presentation provides a brief introduction to version control with the tools Git and GitLab, which are commonly used in this context. Using them can lead to a better data quality and overall project success. This presentation is based on: Berger, C. (2023, Juni 15). Versionierung mit Git und Gitlab. HeFDI Data Week, online. Zenodo. https://doi.org/10.5281/zenodo.8301167
The HeFDI Data Infosnacks are short 15- to 20-minute presentations in which various HeFDI partner universities and institutions present offers and services relating to research data and code management. The HeFDI Data Infosnacks are offered by the federal state initiative HeFDI Hessian Research Data Infrastructures (https://www.hefdi.de/), which is funded by the Hessian Ministry of Science and Research, Arts and Culture (HMWK).
FDM, Versioning, Forschungsdatenmanagement, Love Data Week, research data, Git, collaboration, version control, repository, HeFDI Data Infosnacks, HeFDI, GitLab, research data management, Forschungsdaten
FDM, Versioning, Forschungsdatenmanagement, Love Data Week, research data, Git, collaboration, version control, repository, HeFDI Data Infosnacks, HeFDI, GitLab, research data management, Forschungsdaten
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
