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

S Price; R Boateng; B Loader; H Suleman; W Hall; G Earl; T Tiropanis; R Tinati; X Wang; E Gandolfi; D Denemark; M Schmidt; M Billings; K Tsoi; J Xu; M Birkin; J Gatewood; A Groflin; G Spanakis; B Wessels

doi:10.1145/3041021.3051691

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

S Price, R Boateng, B Loader, H Suleman, W Hall, G Earl, T Tiropanis, R Tinati, X Wang, E Gandolfi, D Denemark, M Schmidt, M Billings, K Tsoi, J Xu, M Birkin, J Gatewood, A Groflin, G Spanakis, B Wessels

Digital Humanities

Research output: Contribution to conference types › Paper › peer-review

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. © 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License.

Original language	English
Pages	1665-1667
Number of pages	3
DOIs	https://doi.org/10.1145/3041021.3051691
Publication status	Published - 1 Jan 2019

Keywords

Data Science
Research Data Management
Social Machines

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10.1145/3041021.3051691

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. (2019). Worldwide universities network (WUN) web observatory:Applying lessons from the web to transform the research data ecosystem. 1665-1667. https://doi.org/10.1145/3041021.3051691

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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. {\textcopyright} 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License.",

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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 2019, 'Worldwide universities network (WUN) web observatory:Applying lessons from the web to transform the research data ecosystem', pp. 1665-1667. https://doi.org/10.1145/3041021.3051691

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AU - Earl, G

AU - Tiropanis, T

AU - Tinati, R

AU - Wang, X

AU - Gandolfi, E

AU - Denemark, D

AU - Schmidt, M

AU - Billings, M

AU - Tsoi, K

AU - Xu, J

AU - Birkin, M

AU - Gatewood, J

AU - Groflin, A

AU - Spanakis, G

AU - Wessels, B

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

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