What is data archiving?
It is common to think about archiving as the last chain of a data management procedure. That is when you are done with your research, and want to "box up" your data and do other things. Unfortunately, many projects do not include time and resources for archiving. So a lot of data is left in the storage and is never archived. Then it cannot be reused. Storing is not the same as archiving!
What to archive?
The goal should be that we collect data that is of so high quality that it is publishable and shareable. In many cases, however, we collect data that should be discarded for one or more reasons. So it is up to the researcher to evaluate which data to archive.
A general rule of thumb should be that all articles should be published with supporting data. This is also becoming the standard in many journals. Just be careful about the license that you select (or is forced upon you).
It is also generally smart to release your data as a dataset, or database with more datasets. If you do this properly (see below), the dataset may also be citeable.
Where to archive?
This is the big question. For now, many researchers have just left their data on our internal servers. That is not an archive. It is becoming increasingly common that journals require depositing data used in papers in a specific archive. This is a good idea since it creates a link between the article and data. However, it is not a satisfactory solution for longterm archiving of data. For example, in many cases, only a subset of the dataset will be deposited. In addition to such depositing of data, you should think about archiving your data properly and according to the FAIR principles.
DataverseNO
UiO is a partner in DataverseNO and has its own collection. Datasets uploaded by UiO researchers are curated by the UiO Library before they are made available. This is recommended by the DSC and UiO. The benefit from using DataverseNO is the curation process which will help make your dataset useful to others. The downside is it will take a bit longer and the archive is not as popular as some others. It is a RITMO recommendation that you use DataverseNO. It is totally ok to post in multiple places
The SIKT archive
Another option is to use SIKT's archive. The benefit of depositing data with SIKT is that a professional data curator will check the data before being deposited. This ensures that the data files are readable an