Guideline 17
Archiving
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.
Explanations:
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.
Comments - Natural sciences (10)
Positive example of the utilisation of older data in the geosciences
03.12.2020 – Example from Saxony
Comment on: GL13 (Natural sciences) , GL17 (Natural sciences)
Software development and handling research data in mathematics
03.12.2020 – Appropriate accessibility is important in terms of the verifiability of research work in mathematics where self-developed software and data are key factors.
Comment on: GL7 (Natural sciences) , GL12 (Natural sciences) , GL13 (Natural sciences) , GL17 (Natural sciences)
Storage capacity and management of sample material in the geosciences
03.12.2020 – Examples of best practice
Comment on: GL13 (Natural sciences) , GL17 (Natural sciences)
Archiving a pre-retirement or post-retirement research legacy – an example from the geosciences
03.12.2020 – Material should be saved from destruction if possible.
Comment on: GL7 (Natural sciences) , GL8 (Natural sciences) , GL9 (Natural sciences) , GL17 (Natural sciences)
Handling samples in the geosciences
03.12.2020 – Samples should be archived and stored for future use whenever possible so as to ensure that the material can be used as widely as possible by the scientific community.
Comment on: GL7 (Natural sciences) , GL9 (Natural sciences) , GL10 (Natural sciences) , GL17 (Natural sciences)
Electronic laboratory journal and repository in chemistry
03.12.2020 – An electronic laboratory journal in conjunction with a repository are described as an example in the field of chemistry.
Comment on: GL7 (Natural sciences) , GL12 (Natural sciences) , GL13 (Natural sciences) , GL17 (Natural sciences)
Enabling the availability of primary data and archiving it
03.12.2020 – Numerical simulations can generate very large quantities of data, so it is not always expedient to make the direct results – i.e. the primary data – available in full for the purpose of verifiability and reuse.
Comment on: GL7 (Natural sciences) , GL13 (Natural sciences) , GL17 (Natural sciences)
Databases and repositories commonly used in mathematics
03.12.2020 – In mathematics, it is common practice to use various databases and repositories that are intended for specific application purposes.
Comment on: GL17 (Natural sciences)
Archiving data in the earth sciences and environmental sciences
03.12.2020 – Best practice example – PANGAEA
Comment on: GL13 (Natural sciences) , GL15 (Natural sciences) , GL17 (Natural sciences)
Maintaining storage capacity in the geosciences
03.12.2020 – Long-term storage of research data
Comment on: GL12 (Natural sciences) , GL17 (Natural sciences)