The University of Southampton
University of Southampton Institutional Repository

Academic research data re-usage in a digital age: modelling best practice

Academic research data re-usage in a digital age: modelling best practice
Academic research data re-usage in a digital age: modelling best practice
Recent high profile retractions – such as the case of Woo Suk Hwang and others – demonstrate that there are still significant issues regarding the reliability of published academic research data. While technological advances offer the potential for greater data re-usability on the Web, models of best practice are yet to be fully re-purposed for a digital age. Employing interdisciplinary web science practices, this thesis asks what makes for excellent quality academic research across the sciences, social sciences and humanities. This thesis uses a case study approach to explore five existing digital data platforms within chemistry, marine environmental sciences and modern languages research. It evaluates their provenance metadata, legal, technological and socio cultural frameworks. This thesis further draws on data collected from semi-structured interviews conducted with eighteen individuals connected to these five data platforms. The participants have a wide range of expertise in the following areas: data management, data policy, academia, law and technology. Through the interdisciplinary literature review and cross-comparison of the three case studies, this thesis identifies the five main principles for improved modelling of best practice for academic research data re-usage both now and in the future. These principles are: (1) sustainability, (2) working towards a common understanding, (3) accreditation, (4) discoverability, and (5) a good user experience. It also reveals nine key grey areas that require further investigation.
University of Southampton
German, Laura
3f71fb73-581b-43c3-a261-a6627994c96e
German, Laura
3f71fb73-581b-43c3-a261-a6627994c96e
Orr, Mary M
3eec40eb-479c-4c9a-b2da-7388a27f9d5c

German, Laura (2015) Academic research data re-usage in a digital age: modelling best practice. University of Southampton, Southampton Law School, Doctoral Thesis, 335pp.

Record type: Thesis (Doctoral)

Abstract

Recent high profile retractions – such as the case of Woo Suk Hwang and others – demonstrate that there are still significant issues regarding the reliability of published academic research data. While technological advances offer the potential for greater data re-usability on the Web, models of best practice are yet to be fully re-purposed for a digital age. Employing interdisciplinary web science practices, this thesis asks what makes for excellent quality academic research across the sciences, social sciences and humanities. This thesis uses a case study approach to explore five existing digital data platforms within chemistry, marine environmental sciences and modern languages research. It evaluates their provenance metadata, legal, technological and socio cultural frameworks. This thesis further draws on data collected from semi-structured interviews conducted with eighteen individuals connected to these five data platforms. The participants have a wide range of expertise in the following areas: data management, data policy, academia, law and technology. Through the interdisciplinary literature review and cross-comparison of the three case studies, this thesis identifies the five main principles for improved modelling of best practice for academic research data re-usage both now and in the future. These principles are: (1) sustainability, (2) working towards a common understanding, (3) accreditation, (4) discoverability, and (5) a good user experience. It also reveals nine key grey areas that require further investigation.

Text
Final PhD thesis - Laura German.pdf - Version of Record
Available under License University of Southampton Thesis Licence.
Download (3MB)

More information

Published date: October 2015
Organisations: University of Southampton, Southampton Law School

Identifiers

Local EPrints ID: 383481
URI: http://eprints.soton.ac.uk/id/eprint/383481
PURE UUID: 790f1cb3-bcc4-4c2b-9937-7ae4f8101157
ORCID for Laura German: ORCID iD orcid.org/0000-0001-9391-1310

Catalogue record

Date deposited: 17 Nov 2015 13:22
Last modified: 03 Dec 2019 06:49

Export record

Contributors

Author: Laura German ORCID iD
Thesis advisor: Mary M Orr

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×