|This page is under construction.|
The registry window on the Details card indicates the status of the registration process of a data set. The registry depends on the data set status and can not be edited.
The registry can have the following level:
- not to be registered - for questionable, not validated and validated data set status.
- registered and citable in the lead time - for published data sets is a preliminary status. Once those data sets are captured by the DOI registration service (background service on server pans1) the data set will get the status
- registration is in the lead time - after import of a published data set, the background service will wait for three month ‚lead time‘ before finally registrating the data set. Within this time the metadata can be modified, the data exchanged or the data set deleted.
- registered - after registration the data set can not be deleted and changes are allowed only for those parts of the data description, which are not relevant to the scientific interpretation of the data set (e.g. changing the method for a data series is relevant, adding a further reference is not) Similar to a printed publication, a registered data set is long-term archived and accessible and thus must be quality assured and proof read before its final registration process.
- registration failed - internal notification if something went wrong.
A registered data set is a static object with the DOI representing the reliable link to the set. In case of a new version of this data set, the comment field of the new versions should refer to the old version via the DOI and vice versa.
In some cases it might be necessary to delete a data set with substitute. For those cases there will be a redirection to a general info page.
After registration, a data set is cached by a background process. About 5000 records per hour are beeing processed and thus there might be some delay until a data set can finaly be checked on the Internet. (In 4D the '?'-button gives information about the number of updates in the various queues).