Published November 5, 2014
| Version v1
Conference paper
Open
A pragmatic approach to significant environment information collection to support object reuse
Authors/Creators
- 1. University of Liverpool
- 2. Göttingen State and University Library
- 3. King's College London
Description
This paper introduces the concept of Significant Environment Information (SEI), which takes into account the dependencies of the digital object on external information for specific purposes and significance weights. This information supports object use and reuse, e.g. for a better long-term preservation of data. The paper also introduces the PERICLES Extraction Tool (PET), an open source (Apache 2 licensed) Java software for the extraction of significant information from the environment where digital objects are created and modified (available at https://github.com/pericles-project/pet).