Open Lotte-W opened 2 years ago
This is a tough one, but the first thing that came to mind is good information/knowledge management practices might help mitigate some aspects of this issue.
To a large degree, this issue is not relevant for just digital preservation but, in fact, to archiving as such. @joshuatj is correct that the main method for overcoming this issue is good information / knowledge management. In particular careful description of archival content (read: creating good descriptions, reusing descriptions from the original system, carrying out metadata quality controls) is important. As good descriptions require a lot of time and effort, there is currently a lot of attention also towards applying AI in digital information/knowledge management - keywords auto-description, auto-classification.
Btw, loss of digital preservation expertise is also a crucial topic but I am wondering if this fits into this one or should be a separate issue? The obvious solution to this is "having good connections to other institutions with a lot of expertise", like participating in OPF, DLM, DPC, E-ARK.
Expertise is lost when archives are transferred. Context is lost when archives are digitised. Expertise is lost when archivists retire. Meaning is lost when researchers do not share their knowledge.