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Worldwide Universities Network (WUN) Web Observatory: Applying Lessons from the Web to Transform the Research Data Ecosystem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Wendy Hall
  • Graeme Earl
  • Thanassis Tiropanis
  • Ramine Tinati
  • Xin Wang
  • Eleonora Gandolfi
  • Jane Gatewood
  • Richard Boateng
  • David Denemark
  • Alexander Groflin
  • Brian Loader
  • Maxine Schmidt
  • Marilyn Billings
  • Gerasimos Spanakis
  • Hussein Suleman
  • Kelvin Tsoi
  • Bridgette Wessels
Original languageEnglish
Title of host publicationWOW17
Subtitle of host publicationWorkshop on Web Observatories, Social Machines and Decentralisation
StateAccepted/In press - 7 Feb 2017
EventWorkshop on Web Observatories, Social Machines and Decentralisation - Perth, Australia


WorkshopWorkshop on Web Observatories, Social Machines and Decentralisation
Abbreviated titleWOW17
Period3/04/17 → …
Internet address


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.

Research areas

  • Research Data Management, Data Science, Social Machines


Workshop on Web Observatories, Social Machines and Decentralisation

Abbreviated TitleWOW17
Duration3 Apr 2017 → …
Location of eventPCEC
CityPerthCountryAustraliaWeb address (URL)Degree of recognitionInternational event

Event: Workshop



  • p1665

    Rights statement: (c) 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License. WWW’17 Companion, April 3–7, 2017, Perth, Australia. ACM 978-1-4503-4914-7/17/04.

    Final published version, 1 MB, PDF-document

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    License: CC BY



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