The document discusses challenges and best practices for data curation and long-term storage of digital data. It addresses issues with digitizing materials like microfilm and tapes, as well as challenges of storing "born digital" documents. The document outlines criteria for prioritizing what materials should be digitized to preserve for research. It also examines semantic problems in defining "long-term" storage and ensuring data can be accessed over long periods of time despite changing technologies.
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Sla data curation
1. Reinhard Feldmann
Data Curation / Digitisation /
iCloud / Long-term storage
of digital data
Legaspi, Aquinas University
10th to 12th April 2014
5. Data curation
Reinhard Feldmann
New Complexity
? ?Born digital documents¡°
? Migration vs. Emulation
? Digital ?dark ages¡° (Example: U.S.
Elections)
20. Data curation
Reinhard Feldmann
Longterm Storage of Digital data
? How long is ¡°longterm¡±?
? What is ¡°sure storage¡°?
? What data are we saving?
? ¡°state of the art¡±
? Financial remarks
21. Data curation
Reinhard Feldmann
Semantic problem I: How long is Longterm?
? "five years or more" (IFLA 2006)
? ¡°Data should normally be preserved and accessible for not less
than 10 years for any projects, and for projects of clinical or
major social, environmental or heritage importance, the data
should be retained for up to 20 years, and preferably
permanently within a national collection, or as required by the
funder's data policy." (Research Councils UK 2008)
? "a period of time long enough for there to be concern about the
impacts of changing technologies (...) on the information being
held in a repository. This period extends into the indefinite
future." (CCSDS 2002: 1-11)
? ?'Longterm' is a non specified period, while unknown
technological or sociocultural changes may take place.¡° (Nestor
2008)
? Longterm or forever?