Worldwide Universities Network (WUN) web observatory: Applying lessons from the web to transform the research data ecosystem

Simon Price, Richard Boateng, Brian Loader, Hussein Suleman, Wendy Hall, Graeme Earl, Thanassis Tiropanis, Ramine Tinati, Xin Wang, Eleonora Gandolfi, David Denemark, Maxine Schmidt, Marilyn Billings, Kelvin Tsoi, Jie Xu, Mark Birkin, Jane Gatewood, Alexander Groflin, Gerasimos Spanakis, Bridgette Wessels

Research output: Chapter in Book/Conference paperConference paper

2 Citations (Scopus)

Abstract

The ongoing growth in research data publication supports global intra-disciplinary and inter-disciplinary research collaboration but the current generation of archive-centric research data repositories do not address some of the key practical obstacles to research data sharing and re-use, specifically: discovering relevant data on a global scale is time-consuming; sharing 'live' and streaming data is non-trivial; managing secure access to sensitive data is overly complicated; and, researchers are not guaranteed attribution for re-use of their own research data. These issues are keenly felt in an international network like the Worldwide Universities Network (WUN) as it seeks to address major global challenges. In this paper we outline the WUN Web Observatory project's plan to overcome these obstacles and, given that these obstacles are not unique to WUN, we also propose an ambitious, longer-term route to their solution at Web-scale by applying lessons from the Web itself.

Original languageEnglish
Title of host publication26th International World Wide Web Conference 2017, WWW 2017 Companion
Place of PublicationUSA
PublisherInternational World Wide Web Conferences Steering Committee
Pages1665-1667
Number of pages3
ISBN (Electronic)9781450349147
DOIs
Publication statusPublished - 2017
Event26th International World Wide Web Conference, WWW 2017 Companion - Perth, Australia
Duration: 3 Apr 20177 Apr 2017

Publication series

Name26th International World Wide Web Conference 2017, WWW 2017 Companion

Conference

Conference26th International World Wide Web Conference, WWW 2017 Companion
CountryAustralia
CityPerth
Period3/04/177/04/17

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  • Cite this

    Price, S., Boateng, R., Loader, B., Suleman, H., Hall, W., Earl, G., Tiropanis, T., Tinati, R., Wang, X., Gandolfi, E., Denemark, D., Schmidt, M., Billings, M., Tsoi, K., Xu, J., Birkin, M., Gatewood, J., Groflin, A., Spanakis, G., & Wessels, B. (2017). Worldwide Universities Network (WUN) web observatory: Applying lessons from the web to transform the research data ecosystem. In 26th International World Wide Web Conference 2017, WWW 2017 Companion (pp. 1665-1667). (26th International World Wide Web Conference 2017, WWW 2017 Companion). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3041021.3051691