Title (eng)

Curating Scientific Research Data for the Long Term: A Preservation Analysis Method in Context: Paper - iPRES 2009 - San Francisco

Author

Esther Conway

David Giaretta

Matthew Dunckley

Description

The challenge of digital preservation of scientific data lies in the need to preserve not only the dataset itself but also the ability it has to deliver knowledge to a future user community. A true scientific research asset allows future users to reanalyze the data within new contexts. Thus, in order to carry out meaningful preservation we need to ensure that future users are equipped with the necessary information to re-use the data. This paper presents an overview of a preservation analysis methodology which was developed in response to that need on the CASPAR and Digital Curation Centre SCARP projects. We intend to place it in relation to other digital preservation practices discussing how they can interact to provide archives caring for scientific data sets with the full arsenal of tools and techniques necessary to rise to this challenge.

Object languages

English

Rights

Creative Commons License
This work is licensed under a
CC BY-SA 3.0 AT - Creative Commons Attribution-ShareAlike 3.0 Austria License.

CC BY-SA 3.0 AT

http://creativecommons.org/licenses/by-sa/3.0/at/

Classification

iPRES, San Francisco

Conferences, Conference 2009

Member of the Collection(s) (3)

o:424738 Openaire v3.0 collection
o:294045 iPRES 2009 - Proceedings of the 6th International Conference on Preservation of Digital Objects: iPRES 2009 - San Francisco
o:168770 Open Access Collection