DataShare | Shared With: Everyone - Aug 15 2008 | data sharing, articles, e-research, data publishingA write-up of this workshop by Martin Donnelly. Includes a summary of the DataShare project manager's talk about Edinburgh's experience reaching out to potential depositors in the University and how we are using the Data Audit Framework Implementation project as an adjunct to this ongoing effort. Also includes interesting summaries of talks by other players in terms of data sharing at the University of Edinburgh.
- DataShare | Shared With: Everyone - Nov 09 2007 | blogs, data sharing, data publishing, web2.0, articles
"Data sharing is catching on with sites like Swivel and ManyEyes making it possible to display, remix, and compare a wide range of data. As the practise of sharing biodata in online banks becomes more common, what are the implications for intellectual property and patient confidentiality?" (links to a 3 page article from First Author)
- DataShare | Shared With: Everyone - Sep 28 2007 | science, open data, articles, data sharing
The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. This special issue addresses 'Open Data for Global Science'
- DataShare | Shared With: Everyone - Jul 24 2007 | open data, data sharing, blogs, articles
This is the blog of the Guardian's campaign "for free public access to data about the UK and its citizens". Ordnance Survey in particular is targeted for its status as a trading fund and restrictive license conditions (for sharing data). Links to relevant Guardian articles.
- DataShare | Shared With: Everyone - Jul 20 2007 | data archives, data management, data sharing, institutional repositories, articles
There's also an open access version at http://deepblue.lib.umich.edu/handle/2027.42/41214
Findings – The key message is that by visualizing the role of repositories explicitly in the life cycle of the social science research enterprise, the ways that the partnerships work will be clear. These workings can be seen as a sequence of reciprocal information flows between parties to the process, triggers that signal that one party or another has a task to perform, and hand-offs of information from one party to another that take place at crucial moments. This approach envisions both cooperation and specialization.
Author(s): Ann G. Green, Myron P. Gutmann
Journal: OCLC Systems & Services
ISSN: 1065-075X
Year: 2007 Volume: 23 Issue: 1 Page: 35 - 53
DOI: 10.1108/10650750710720757
Publisher: Emerald Group Publishing Limited - DataShare | Shared With: Everyone - Jul 20 2007 | data management, data sharing, JISC, project, disciplinary differences, articles, Edinburgh
Findings – The paper finds that significant support was expressed for the provision of bi-directional links between source and output repositories, tempered by a limited knowledge of repositories among the survey constituency and the need for reassurance on measures for the protection of data ownership. Diversity in the application of good data management practice is marked both between and within each of the disciplines surveyed, with solutions adopted characterised by a culture of self-sufficiency and the use of repositories driven by practical research requirements. Common areas for improvement have been recognised across the disciplines, notably in the processes described for the assignment of metadata, and opportunities for expert assistance in data management were identified.
Author(s): Graham Pryor
Journal: OCLC Systems & Services
ISSN: 1065-075X
Year: 2007 Volume: 23 Issue: 1 Page: 70 - 78
DOI: 10.1108/10650750710720775
Publisher: Emerald Group Publishing Limited - DataShare | Shared With: Everyone - Jul 03 2007 | data sharing, data archives, qualitative data, institutional repositories, articles
Abstract “Qualitative data” are the central issue of this article. Qualitative data are a particular category of data within the social sciences, where data have been predominantly of a quantitative nature. Qualitative data could enrich social science research in many ways. The re-use of this particular type of data is however a new challenge for social science data archives. A new methodology has to be developed when dealing with these data, based on a combination of social science methodology and traditional archival descriptions. An additional question discussed in the article is what the best place should be for archiving and disseminating qualitative data: in research (social science) data archives or in the more traditional libraries and archives?
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