A rose is a rose is a rose? Defining significant properties of social science research data
Recker, Astrid; Müller, Stefan (2014-06-12)
Recker, Astrid
Müller, Stefan
12.06.2014
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2014070432333
https://urn.fi/URN:NBN:fi-fe2014070432333
Kuvaus
Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014
General Track, 24x7 Presentations
The session was recorded and is available for watching (this presentation starts at 0:43:40)
Recker, Astrid (GESIS - Leibniz Institute for the Social Sciences, Germany)
Müller, Stefan (GESIS - Leibniz Institute for the Social Sciences, Germany)
General Track, 24x7 Presentations
The session was recorded and is available for watching (this presentation starts at 0:43:40)
Recker, Astrid (GESIS - Leibniz Institute for the Social Sciences, Germany)
Müller, Stefan (GESIS - Leibniz Institute for the Social Sciences, Germany)
Tiivistelmä
Digital curation and preservation efforts are futile if the objective of the preservation process is unclear. Working under the assumption that it will not be possible to preserve digital objects unchanged, in their “original” form, digital curators have to have a clear idea of the features and characteristics that have to be preserved in order for the curated object to be understandable, accessible, and usable in the future. What these characteristics, referred to as significant properties, are depends largely on how and for which purposes the preserved objects will be used.
In this presentation we will give an overview of the approach taken by the GESIS Data Archive for the Social Sciences to the identification and definition of the significant properties of the digital assets curated and preserved by the archive. In doing so, we discuss challenges experienced and benefits expected – including an improved communication with the stakeholders involved in the curation and dissemination of the data held by the archive.
In this presentation we will give an overview of the approach taken by the GESIS Data Archive for the Social Sciences to the identification and definition of the significant properties of the digital assets curated and preserved by the archive. In doing so, we discuss challenges experienced and benefits expected – including an improved communication with the stakeholders involved in the curation and dissemination of the data held by the archive.
Kokoelmat
- Open Repositories 2014 [218]