Intern:Versioning

When can a dataset be corrected, edited or rewritten without a new version?
Datasets without a registered DOI
 * Any change of data or metadata including deletion is possible.
 * The changes are not registered in the dataset history.

Datasets with a registered DOI
 * This dataset can never be deleted.
 * Small metadata changes possible:
 * Typos in Authors, title, abstract. Document the changes in the.
 * Adding/correcting information to Events. If this information can have impact on interpretation, e.g. correcting Latitude, Longitude, Date/Time,..., document the changes in the.
 * Correcting parameters: If this information can have impact on interpretation, e.g. units, document the changes in the.
 * Adding / correcting references is possible. Usually no need to document it in the.


 * If the data were password protected, also changes to datasets can be done
 * Corrections in data series (e.g. recalculation of series due to wrong factor (cm->m, a ->ka, ...) or other "small" changes if necessary, are possible. Always document such changes in the.

When to archive a new version?
For other cases (major change in DOI-registered dataset), archive a new version.

Archiving a new version
Old dataset:
 * Most often change the restriction to "access rights needed"
 * This prevents the dataset being downloaded used although potentially wrong
 * The old version is not included in Data Warehouse
 * Refer to the new version in dataset : “A new version of the data has been uploaded, and can be found here: doi:yyyyyy.”

New dataset:
 * The same title can be used.
 * Add the old dataset as a reference with relation "replaced by"
 * The dataset cannot be find in PANGAEA search
 * Add comment with Version number, date and reason why a new version was added, e.g. "Version 2, 2020-02-29, previous version contains errors due to data processing."
 * Optional: add link to old version, relation "original version".