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

被引：0

作者：

Meliou, Alexandra ^{[1
]}

Bhowmick, Sourav ^{[2
]}

Aberer, Karl ^{[3
]}

Agrawal, Divy ^{[4
]}

Bonifati, Angela ^{[5
,6
]}

Braganholo, Vanessa ^{[7
]}

Geerts, Floris ^{[8
]}

Lehner, Wolfgang ^{[9
]}

Srivastava, Divesh ^{[10
]}

机构：

[1] Univ Massachusetts, Amherst, MA 01003 USA

[2] Nanyang Technol Univ, Singapore, Singapore

[3] Ecole Polytech Fed Lausanne, Lausanne, Switzerland

[4] UC Santa Barbara, Santa Barbara, CA USA

[5] Lyon 1 Univ, CNRS, Lyon, France

[6] IUF, Lyon, France

[7] Univ Fed Fluminense, Rio De Janeiro, Brazil

[8] Univ Antwerp, Antwerp, Belgium

[9] Tech Univ Dresden, Dresden, Germany

[10] AT&T Chief Data Off, Atlanta, GA USA

来源：

SIGMOD RECORD | 2023年 / 52卷 / 04期

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：41 / 46

页数：6

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