官方服务：
资源简介：
Feedback to improve peer review
用于改进同行评议（peer review）的反馈
应用场景：
创建时间：
2022-09-09
相关数据集
ReviewMT
该数据集是一个全面的数据集，包含了超过26,841篇论文及92,017条评审意见，旨在助力大型语言模型在同行评审过程中的多轮对话应用。该数据集被划分为两个子集：ReviewMT-ICLR和ReviewMT-NC，分别体现了ICLR和《自然通讯》评审流程的独特特点。规模上，该数据集涵盖了超过26,841篇论文和92,017条评审意见，其任务重点在于模拟同行评审中的多轮对话。
arXiv310
Halo Effect in Peer Review: Exploring the Possibility of Bias Associated with the Feeling of Belonging to a Group
Abstract In this study, we explore the possibility of bias in the article evaluation process during peer review, due to homogeneous groups of reviewers, most of whom belong to the same professional fi
DataCite Commons2020-08-25 更新80
Peer review comments and judgements for F1000Research, Gates Open, Wellcome and HRB
22 datasets of peer review comments and judgements for version 1 documents in the F1000Research, Gates Open Research, Wellcome Open Research and HRB Open Research publication portals. The F1000Rese
DataCite Commons2020-08-26 更新60
Information of Papers in an Experiment of GAI Models Peer Review
This file descripes information of some papers in an experiment of GAI models peer review.
DataCite Commons2025-07-11 更新150
Analysis of peer reviewers’ response to invitations by gender and geographical region: cohort study of manuscripts reviewed at 21 biomedical journals before and during covid-19 pandemic
Database from second ancillary research project of the ATHENA study describing gender and geographical inequalities in invitations to review and the response to these invitations during the covid-19 p
DataCite Commons2026-05-05 更新60
