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Worldwide universities network (WUN) web observatory: applying lessons from the web to transform the research data ecosystem

Worldwide universities network (WUN) web observatory: applying lessons from the web to transform the research data ecosystem
Worldwide universities network (WUN) web observatory: applying lessons from the web to transform the research data ecosystem

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.

Data Science, Research Data Management, Social Machines
1665-1667
International World Wide Web Conferences Steering Committee
Price, Simon
cf81da3e-4acc-422c-af1b-f2dc8a962b9a
Hall, Wendy
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Earl, Graeme
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Tiropanis, Thanassis
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Tinati, Ramine
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Wang, Xin
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Gandolfi, Eleonora
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Gatewood, Jane
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Boateng, Richard
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Denemark, David
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Groflin, Alexander
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Loader, Brian
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Schmidt, Maxine
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Billings, Marilyn
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Spanakis, Gerasimos
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Suleman, Hussein
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Tsoi, Kelvin
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Wessels, Bridgette
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Xu, Jie
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Birkin, Mark
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Price, Simon
cf81da3e-4acc-422c-af1b-f2dc8a962b9a
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Earl, Graeme
724c73ef-c3dd-4e4f-a7f5-0557e81f8326
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Tinati, Ramine
f74a0556-6a04-40c5-8bcf-6f5235dbf687
Wang, Xin
9c97f900-36e0-4874-bdeb-82d5e2775136
Gandolfi, Eleonora
08580e2d-2777-412e-a6b7-e712e14da5dd
Gatewood, Jane
1adf8b54-0d34-4cd3-af04-cd9f4ecf1a60
Boateng, Richard
63846318-224d-474a-9224-0bc2a2e6cb17
Denemark, David
600db1ff-e840-4333-82b1-08c611bdf10d
Groflin, Alexander
efe44c30-4ffe-4af0-9f84-0c308074b3cd
Loader, Brian
a4cd367d-fd3a-4aea-a97f-34b78465ebd9
Schmidt, Maxine
917101a9-0563-4df4-a6a0-ee65ebeefe54
Billings, Marilyn
225b2af8-d7a3-4b13-b98f-0147bc3d4652
Spanakis, Gerasimos
6a46309a-3737-4a42-a745-0124db4c7523
Suleman, Hussein
5d18a4b9-48aa-4a49-9d74-706e4003b0bb
Tsoi, Kelvin
8a47c06d-624e-46da-9b57-14be26eb0deb
Wessels, Bridgette
5a237976-7858-443f-b496-6b35ac9334de
Xu, Jie
c3c79088-94e3-48d2-9228-275b4e7fffcf
Birkin, Mark
6f32f53d-7f37-4a90-bcdc-3f64cdc6f196

Price, Simon, Hall, Wendy, Earl, Graeme, Tiropanis, Thanassis, Tinati, Ramine, Wang, Xin, Gandolfi, Eleonora, Gatewood, Jane, Boateng, Richard, Denemark, David, Groflin, Alexander, Loader, Brian, Schmidt, Maxine, Billings, Marilyn, Spanakis, Gerasimos, Suleman, Hussein, Tsoi, Kelvin, Wessels, Bridgette, Xu, Jie and Birkin, Mark (2019) Worldwide universities network (WUN) web observatory: applying lessons from the web to transform the research data ecosystem. In WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee. pp. 1665-1667 . (doi:10.1145/3041021.3051691).

Record type: Conference or Workshop Item (Paper)

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.

Full text not available from this repository.

More information

Published date: 2019
Venue - Dates: 26th International World Wide Web Conference, WWW 2017 Companion, , Perth, Australia, 2017-04-03 - 2017-04-07
Keywords: Data Science, Research Data Management, Social Machines
Learn more about Archaeology research Learn more about Web and Internet Science research

Identifiers

Local EPrints ID: 428069
URI: http://eprints.soton.ac.uk/id/eprint/428069
DOI: doi:10.1145/3041021.3051691
PURE UUID: b4190da7-2be6-4b16-b78a-6590de34642e
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811
ORCID for Graeme Earl: ORCID iD orcid.org/0000-0001-9077-4605
ORCID for Thanassis Tiropanis: ORCID iD orcid.org/0000-0002-6195-2852

Catalogue record

Date deposited: 08 Feb 2019 17:30
Last modified: 15 Apr 2021 01:42

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Contributors

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

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