Worldwide Universities Network (WUN) Web Observatory Applying Lessons from the Web to Transform the Research Data Ecosystem
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Date
2019-01
Journal Title
Journal ISSN
Volume Title
Publisher
26th International World Wide Web Conference 2017, WWW 2017 Companion
Abstract
The ongoing growth in research data publication supports
global intra-disciplinary and inter-disciplinary research col-
laboration but the current generation of archive-centric re-
search data repositories do not address some of the key prac-
tical obstacles to research data sharing and re-use, specifi-
cally: 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 compli-
cated; 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 Univer-
sities Network (WUN) as it seeks to address major global
challenges. In this paper we outline the WUN Web Obser-
vatory project’s plan to overcome these obstacles and, given
that these obstacles are not unique to WUN, we also pro-
pose an ambitious, longer-term route to their solution at
Web-scale by applying lessons from the Web itself.
Description
Keywords
Research Data Management, Data Science, Social Machines