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Longterm preservation

Merged Christian Löschen requested to merge longterm_preservation into preview
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@@ -74,13 +74,65 @@ Below are some examples:
@@ -74,13 +74,65 @@ Below are some examples:
## Where can I get more information about management of research data?
## 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
Please visit the wiki [forschungsdaten.org](https://www.forschungsdaten.org/en/) to learn more about
information about managing research data.
all of the different aspects of research data management.
## I want to store my research data at ZIH. How can I do that?
For questions or individual consultations regarding research data management in general or any of
its certain aspects, you can contact the
You can use the following services for long-term preservation of research data:
[Service Center Research Data](https://tu-dresden.de/forschung-transfer/services-fuer-forschende/kontaktstelle-forschungsdaten?set_language=en)
(Kontaktstelle Forschungsdaten) of TU Dresden.
- [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)
## I want to archive my research data at ZIH safely. How can I do that?
- [intermediate archive](https://tu-dresden.de/zih/dienste/service-katalog/arbeitsumgebung/backup_archiv/archivierung_am_zih#section-2-1)
 
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
 
[export nodes](../data_transfer/export_nodes.md)
 
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).
 
 
!!! note
 
 
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
 
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 (cf.
 
[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 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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