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Longterm preservation

Merged Christian Löschen requested to merge longterm_preservation into preview
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@@ -74,13 +74,61 @@ Below are some examples:
## Where can I get more information about management of research data?
Go to [http://www.forschungsdaten.org/en/](http://www.forschungsdaten.org/en/) to find more
information about managing research data.
## I want to store my research data at ZIH. How can I do that?
You can use the following services for long-term preservation of research data:
- [Long-term archive](https://tu-dresden.de/zih/dienste/service-katalog/arbeitsumgebung/backup_archiv/archivierung_am_zih)
- [Long-term Archiving and Publication with OpARA (Open Access Repository and Archive)](https://tu-dresden.de/zih/dienste/service-katalog/arbeitsumgebung/backup_archiv/archivierung_am_zih#section-2-2)
- [intermediate archive](https://tu-dresden.de/zih/dienste/service-katalog/arbeitsumgebung/backup_archiv/archivierung_am_zih#section-2-1)
Please visit [forschungsdaten.org](https://www.forschungsdaten.org/en/) to learn more about all
of the different aspects of research data management.
For questions or individual consultations regarding research data management in general or any of
its certain aspects, you can contact the
[Service Center Research Data](https://tu-dresden.de/forschung-transfer/services-fuer-forschende/kontaktstelle-forschungsdaten?set_language=en)
(Kontaktstelle Forschungsdaten) of TU Dresden.
## I want to archive my research data at ZIH safely. How can I do that?
For TU Dresden there exist two different services at ZIH for archiving research data. Both of
them ensure high data safety by duplicating data internally at two separate locations and
require some data preparation (e.g. packaging), but serve different use cases:
### Storing very infrequently used data during the course of the project
The intermediate archive is a tape storage easily accessible as a directory
(/archive/<HRSK-project\>/ or /archive/<login\>/ (*)) using the taurusexport nodes and
[datamover tools](https://doc.zih.tu-dresden.de/data_transfer/datamover/) to move your data to.
For detailed information please visit the
[ZIH intermediate archive documentation](https://tu-dresden.de/zih/dienste/service-katalog/arbeitsumgebung/backup_archiv/archivierung_am_zih#section-2-1).
(*) The usage of the HRSK-project-related archive is preferable to the login-related archive, as
this enables assigning access rights and responsibility across multiple researchers, due to the
common staff turnover in research.
The use of the intermediate archive usually is limited by the end of the corresponding
HRSK/research project. Afterwards data is required to be removed, tidied up and submitted to a
long-term repository (see next section).
The intermediate archive is the preferred service when you keep large, mostly unused data volumes
during the course of your research project; if you want or need to free storage capacities, but
you are still not able to define certain or relevant datasets for long-term archival.
If you are able to identify complete and final datasets, which you probably won't use actively
anymore, then repositories as described in the next section may be the more appropriate selection.
### Archiving data beyond the project lifetime, for 10 years and above
According to good scientific practice (see:
[DFG guidelines, #17](https://www.dfg.de/download/pdf/foerderung/rechtliche_rahmenbedingungen/gute_wissenschaftliche_praxis/kodex_gwp.pdf))
and
[TU Dresden research data guidelines](https://tu-dresden.de/tu-dresden/qualitaetsmanagement/ressourcen/dateien/wisprax/Leitlinien-fuer-den-Umgang-mit-Forschungsdaten-an-der-TU-Dresden.pdf),
relevant research data needs to be archived for at least for 10 years. The
[OpARA service](https://opara.zih.tu-dresden.de/xmlui/) (Open Access Repository and Archive) is the
joint research data repository service for saxon universities to address this requirement.
Data can be uploaded and, to comply to the demands of long-term understanding of data, additional
metadata and description must be added. Large datasets may be optionally imported beforehand. In
this case, please contact the
[TU Dresden Service Desk](mailto:servicedesk@tu-dresden.de?subject=OpARA:%20Data%20Import).
Optionally, data can also be **published** by OpARA. To ensure data quality, data submissions
undergo a review process.
Beyond OpARA, it is also recommended to use discipline-specific data repositories for data
publications. Usually those are well known in a scientific community, and offer better fitting
options of data description and classification. Please visit [re3data.org](https://re3data.org)
to look up a suitable one for your discipline.
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