Sustainable Paths for Data-Intensive Research Communities at the University of Melbourne: a report for the Australian Partnership for Sustainable Repositories
| dc.contributor.author | Shadbolt, Anna | en_US |
| dc.contributor.author | van der Kniff, Dirk | en_US |
| dc.contributor.author | Young, Eve | en_US |
| dc.contributor.author | Winton, Lyall | en_US |
| dc.date.accessioned | 2008-03-19T05:54:55Z | en_US |
| dc.date.accessioned | 2011-01-04T05:20:55Z | en_US |
| dc.date.accessioned | 2011-02-23T01:26:04Z | |
| dc.date.available | 2008-03-19T05:54:55Z | en_US |
| dc.date.available | 2011-01-04T05:20:55Z | en_US |
| dc.date.available | 2011-02-23T01:26:04Z | |
| dc.date.issued | 2006-08 | en_US |
| dc.identifier.citation | Anna Shadbolt, Dirk van der Kniff, Eve Young and Lyall Winton, Sustainable Paths for Data-Intensive Research Communities at the University of Melbourne: a report for the Australian Partnership for Sustainable Repositories, APSR, Canberra, 2006. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1885/46449 | en_AU |
| dc.language.iso | en | en_US |
| dc.publisher | Australian Partnership for Sustainable Repositories | en_US |
| dc.subject | digital sustainability | en_US |
| dc.subject | data preservation | en_US |
| dc.subject | researcher practice | en_US |
| dc.subject | data management | en_US |
| dc.subject | Australian eResearch Sustainability Survey Project | en_US |
| dc.subject | AERES Project | en_US |
| dc.title | Sustainable Paths for Data-Intensive Research Communities at the University of Melbourne: a report for the Australian Partnership for Sustainable Repositories | en_US |
| dc.type | Book | en_US |
| dspace.entity.type | ANUArchivesItem | |
| local.contributor.authoremail | repository.admin@anu.edu.au | |
| local.description.notes | The report provides the results of the University of Melbourne test-bed project carried out in tandem with the Australian eResearch Sustainability Survey Project (AERES) Project by Anna Shadbolt. The project aimed to conduct an audit of ten to twelve data-intensive research communities across a variety of disciplines, documenting the data management issues for each community. | en_US |