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research article

Peer-Reviewing Processes and Incentives: Data Management Community Survey Results

Meliou, Alexandra
•
Bhowmick, Sourav
•
Aberer, Karl  
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December 1, 2023
Sigmod Record

Reviewing papers for conferences is an important and hard task that brings several challenges. The Data Management community has been increasingly struggling with high reviewer load, low-quality reviews and low reviewer engagement, unethical reviewing practices as well as undeclared and under-declared conflicts of interest. In this article, we report the results of a survey we conducted to gather the opinion of the Data Management community regarding what could be done to address these challenges. We reached out to about 1,200 members of the data management community with relevant reviewing experience and collected 345 anonymous responses. We plan to follow up with a subsequent report, discussing in more depth particular proposals, inspired by the collective feedback from the community.

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Type
research article
Web of Science ID

WOS:001153252100005

Author(s)
Meliou, Alexandra
Bhowmick, Sourav
Aberer, Karl  
Agrawal, Divy
Bonifati, Angela
Braganholo, Vanessa
Geerts, Floris
Lehner, Wolfgang
Srivastava, Divesh
Date Issued

2023-12-01

Publisher

Assoc Computing Machinery

Published in
Sigmod Record
Volume

52

Issue

4

Start page

41

End page

46

Subjects

Technology

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSIR  
Available on Infoscience
February 23, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/205429
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