
Research software has become a central asset in academic research. In Germany, the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft) recently updated the Guidelines for Safeguarding Good Research Practice. Research software is now valued similarly to classic publications and data with implications for research software sustainability and legal aspects. In this document, we present four decision trees and corresponding legal documentation tables to aid researchers. The decision trees should ease to identify i) the software policy of your institution, ii) restrictions imposed by contributors and the environment, iii) licensing collisions if 3rd party software is included, and iv) problems in licensing (existing) research software.
{"references": ["Anzt H, Bach F, Druskat S et al. An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2020, 9:295", "https://www.dfg.de/download/pdf/foerderung/rechtliche_rahmenbedingungen/ gute_wissenschaftliche_praxis/kodex_gwp_en.pdf"]}
decision tree, research software, sustainability, documentation
decision tree, research software, sustainability, documentation
| 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 |
