The selection, appraisal, and retention of social science data
The number of data collections produced in the social sciences prohibits the archiving of every scientific study. It is therefore necessary to make decisions regarding what can be preserved and why it should be preserved. This paper reviews the processes used by two data archives, one from the Unite...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Ubiquity Press
2006-01-01
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Series: | Data Science Journal |
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Online Access: | http://datascience.codata.org/articles/308 |
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author | M Gutmann K Schürer D Donakowski Hilary Beedham |
author_facet | M Gutmann K Schürer D Donakowski Hilary Beedham |
author_sort | M Gutmann |
collection | DOAJ |
description | The number of data collections produced in the social sciences prohibits the archiving of every scientific study. It is therefore necessary to make decisions regarding what can be preserved and why it should be preserved. This paper reviews the processes used by two data archives, one from the United States and one from the United Kingdom, to illustrate how data are selected for archiving, how they are appraised, and what steps are required to retain the usefulness of the data for future use. It also presents new initiatives that seek to encourage an increase in the long-term preservation of digital resources. |
first_indexed | 2024-04-12T18:28:02Z |
format | Article |
id | doaj.art-5d3c330bf1bb45d0b3cf56128dac46b1 |
institution | Directory Open Access Journal |
issn | 1683-1470 |
language | English |
last_indexed | 2024-04-12T18:28:02Z |
publishDate | 2006-01-01 |
publisher | Ubiquity Press |
record_format | Article |
series | Data Science Journal |
spelling | doaj.art-5d3c330bf1bb45d0b3cf56128dac46b12022-12-22T03:21:09ZengUbiquity PressData Science Journal1683-14702006-01-01320922110.2481/dsj.3.209309The selection, appraisal, and retention of social science dataM Gutmann0K Schürer1D Donakowski2Hilary Beedham3Inter-university Consortium for Political and Social Research, University of Michigan, Ann Arbor, MI 48104UK Data Archive and Economic and Social Data Service, University of Essex, Wivenhoe Park, Colchester, Essex, CO4 3SQInter-university Consortium for Political and Social Research, University of Michigan, Ann Arbor, MI 48104UK Data Archive, University of Essex, Wivenhoe Park, Colchester, Essex, CO4 3SQThe number of data collections produced in the social sciences prohibits the archiving of every scientific study. It is therefore necessary to make decisions regarding what can be preserved and why it should be preserved. This paper reviews the processes used by two data archives, one from the United States and one from the United Kingdom, to illustrate how data are selected for archiving, how they are appraised, and what steps are required to retain the usefulness of the data for future use. It also presents new initiatives that seek to encourage an increase in the long-term preservation of digital resources.http://datascience.codata.org/articles/308Social ScienceData accessData sharingUser needsConfidentiality |
spellingShingle | M Gutmann K Schürer D Donakowski Hilary Beedham The selection, appraisal, and retention of social science data Data Science Journal Social Science Data access Data sharing User needs Confidentiality |
title | The selection, appraisal, and retention of social science data |
title_full | The selection, appraisal, and retention of social science data |
title_fullStr | The selection, appraisal, and retention of social science data |
title_full_unstemmed | The selection, appraisal, and retention of social science data |
title_short | The selection, appraisal, and retention of social science data |
title_sort | selection appraisal and retention of social science data |
topic | Social Science Data access Data sharing User needs Confidentiality |
url | http://datascience.codata.org/articles/308 |
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