The following comment refers to this/these guideline(s)
Researchers back up research data and results made publicly available, as well as the central materials on which they are based and the research software used, by adequate means according to the standards of the relevant subject area, and retain them for an appropriate period of time. Where justifiable reasons exist for not archiving particular data, researchers explain these reasons. HEIs and non-HEI research institutions ensure that the infrastructure necessary to enable archiving is in place.
When scientific and academic findings are made publicly available, the research data (generally raw data) on which they are based are generally archived in an accessible and identifiable manner for a period of ten years at the institution where the data were produced or in cross-location repositories. This practice may differ depending on the subject area. In justified cases, shorter archiving periods may be appropriate; the reasons for this are described clearly and comprehensibly. The archiving period begins on the date when the results are made publicly available.
Databases and repositories commonly used in mathematics
In mathematics, it is common practice to use various databases and repositories that are intended for specific application purposes, for example:
- arXiv as a document server for preprints
- zbMath and MathSciNet as publication databases (the publications themselves remain with the publishers)
- swMath as a database for mathematical software
- openML with various facilities in the context of machine learning
- specific collections maintained by individual institutes or working groups (e.g. containing benchmarks)
The comment belongs to the following categories:
GL17 (Natural sciences)