Conference item
Scholarly social machines: a web science perspective on our knowledge infrastructure
- Alternative title:
- Conference paper
- Abstract:
- A Knowledge Infrastructure comprises the people, artefacts, and institutions that generate, share, and maintain knowledge, very often mediated by the Web. Our scholarly Knowledge Infrastructure is evolving as researchers embrace digital techniques enabled by increasing availability of digital data, computational power, and analytical tools and techniques. Crucially, the social structures are changing also. Taking a Web Science approach, this paper encourages the reader to view the scholarly Knowledge Infrastructure as an ecosystem of interacting and evolving Social Machines. We illustrate these Scholarly Social Machines with a series of descriptive examples, and reflect on these to propose Scholarly Primitives associated with Scholarly Social Machines. We suggest that this approach facilitates a holistic understanding of our scholarly Knowledge Infrastructure and informs its evolution.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, 606.8KB, Terms of use)
-
- Publisher copy:
- 10.1145/3394231.3397915
Authors
+ Engineering & Physical Sciences Research Council
More from this funder
- Grant:
- EP/J017728/2
- ECSA1RIR
- EP/J017728/1 (511535101)
- Publisher:
- Association for Computing Machinery
- Host title:
- WebSci '20: 12th ACM Conference on Web Science
- Pages:
- 250–256
- Publication date:
- 2020-07-06
- Acceptance date:
- 2020-04-10
- Event title:
- 12th ACM Conference on Web Science (WebSci ’20)
- Event location:
- Southampton, UK
- Event website:
- https://websci20.webscience.org/
- Event start date:
- 2020-07-06
- Event end date:
- 2020-07-10
- DOI:
- Language:
-
English
- Keywords:
- Pubs id:
-
1107248
- Local pid:
-
pubs:1107248
- Deposit date:
-
2020-05-28
Terms of use
- Copyright holder:
- De Roure, D and Willcox, P
- Copyright date:
- 2020
- Rights statement:
- © 2020 Copyright held by the owner/author(s). Publication rights licensed to ACM.
- Notes:
- This conference paper was presented at the 12th ACM Conference on Web Science (WebSci ’20), July 06–10, 2020, Southampton, UK. This is the accepted manuscript version of the paper. The final version is available online from the Association for Computing Machinery at: https://doi.org/10.1145/3394231.3397915
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