Big Opportunities in Access to "Small Science" Data
A distributed infrastructure that would enable those who wish to do so to contribute their scientific or technical data to a universal digital commons could allow such data to be more readily preserved and accessible among disciplinary domains. Five critical issues that must be addressed in developi...
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Format: | Article |
Language: | English |
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Ubiquity Press
2007-06-01
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Series: | Data Science Journal |
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Online Access: | http://datascience.codata.org/articles/375 |
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author | Harlan Onsrud James Campbell |
author_facet | Harlan Onsrud James Campbell |
author_sort | Harlan Onsrud |
collection | DOAJ |
description | A distributed infrastructure that would enable those who wish to do so to contribute their scientific or technical data to a universal digital commons could allow such data to be more readily preserved and accessible among disciplinary domains. Five critical issues that must be addressed in developing an efficient and effective data commons infrastructure are described. We conclude that creation of a distributed infrastructure meeting the critical criteria and deployable throughout the networked university library community is practically achievable. |
first_indexed | 2024-12-22T12:39:01Z |
format | Article |
id | doaj.art-f83eaa273e394ed6b1d9513b68627b83 |
institution | Directory Open Access Journal |
issn | 1683-1470 |
language | English |
last_indexed | 2024-12-22T12:39:01Z |
publishDate | 2007-06-01 |
publisher | Ubiquity Press |
record_format | Article |
series | Data Science Journal |
spelling | doaj.art-f83eaa273e394ed6b1d9513b68627b832022-12-21T18:25:29ZengUbiquity PressData Science Journal1683-14702007-06-01610.2481/dsj.6.OD58377Big Opportunities in Access to "Small Science" DataHarlan Onsrud0James Campbell1Department of Spatial Information Science and Engineering, University of Maine, Orono, ME 04469Department of Spatial Information Science and Engineering, University of Maine, Orono, ME 04469A distributed infrastructure that would enable those who wish to do so to contribute their scientific or technical data to a universal digital commons could allow such data to be more readily preserved and accessible among disciplinary domains. Five critical issues that must be addressed in developing an efficient and effective data commons infrastructure are described. We conclude that creation of a distributed infrastructure meeting the critical criteria and deployable throughout the networked university library community is practically achievable.http://datascience.codata.org/articles/375Small scienceCommonsLicensesMetadataProvenanceArchivingPeer review |
spellingShingle | Harlan Onsrud James Campbell Big Opportunities in Access to "Small Science" Data Data Science Journal Small science Commons Licenses Metadata Provenance Archiving Peer review |
title | Big Opportunities in Access to "Small Science" Data |
title_full | Big Opportunities in Access to "Small Science" Data |
title_fullStr | Big Opportunities in Access to "Small Science" Data |
title_full_unstemmed | Big Opportunities in Access to "Small Science" Data |
title_short | Big Opportunities in Access to "Small Science" Data |
title_sort | big opportunities in access to small science data |
topic | Small science Commons Licenses Metadata Provenance Archiving Peer review |
url | http://datascience.codata.org/articles/375 |
work_keys_str_mv | AT harlanonsrud bigopportunitiesinaccesstosmallsciencedata AT jamescampbell bigopportunitiesinaccesstosmallsciencedata |