Record link: 
http://hdl.handle.net/20.500.12708/209945
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Title: 
An Analysis of Tasks and Datasets in Peer Reviewing
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Citation: 
Staudinger, M., Kusa, W., Piroi, F., & Hanbury, A. (2024). An Analysis of Tasks and Datasets in Peer Reviewing. In Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024) (pp. 257–268). Association for Computational Linguistics.
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Staudinger, Moritz 
Kusa, Wojciech 
Piroi, Florina 
Hanbury, Allan 
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Organisational Unit: 
E194-04 - Forschungsbereich Data Science 
E058-06 - Fachbereich Zentrum für Forschungsdatenmanagement 
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Published in: 
Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024) 
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ISBN: 
979-8-89176-151-3
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Date (published): 
2024
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Event name: 
Fourth Workshop on Scholarly Document Processing (SDP 2024) 
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Event date: 
16-Aug-2024
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Event place: 
Bangkok, Thailand
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Number of Pages: 
12
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Publisher: 
Association for Computational Linguistics
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Peer reviewed: 
Yes
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Keywords: 
Peer Review; Automated Scholarly Review; Dataset Creation Recommendations
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Abstract: 
Taking note of the current challenges of the peer review system, this paper inventories the research tasks for analysing and possibly automating parts of the reviewing process, like matching submissions with a reviewer’s domain of expertise. For each of these tasks we list their associated datasets, analysing their quality in terms of available documentation of creation and use. Building up on this, we give a set of recommendations to take into account when collecting and releasing data.
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
Conference Paper

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