Data Archiving: Scientific Issues
•What
are scientific data?
•OAIS
model has reference definitions
•Mandates
of different archives differ
•Data
quality control and assurance
•Selection
and appraisal criteria
•Value
and relevance of data archived
•Language
differences
•Not
all data published in one language
•Developing
and developed country differences
•Nomenclature
/ taxonomy
•Differs
inside and across communities
•Names
and concepts change over time (need to save historical contexts)
•Barriers
to preservation
•original
data in some fields on paper only
•original
data buried in spreadsheets,
databases, documents
•Interdisciplinary
work can yield pan-disciplinary,
unmanaged data