Dataset for Ranking Social Science Institutions in India through Responsible Research Assessment (RRA)

This dataset supports the study entitled: “A Responsible Research Assessment Framework for Ranking Social Science Institutions in India”. It comprises diverse research outputs, academic activities, and institutional resources of twenty-four ICSSR-funded institutions across the country. The dataset is primarily extracted from Scopus (a citation database), subsequently validated through Annual Reports of the ICSSR, covering the period from 2013 to 2022. Moreover, high-resolution images of all figures and tables used in the paper have also been shared to support transparency and facilitate detailed examination. The dataset is curated to provide a holistic view of institutional performance in order to showcase the publication productivity, academic activities, resource allocations, prestige values, stakeholder engagement, and societal impact through various quantitative indicators. The dataset enables replication of the study, cross-institutional benchmarking, and policy-driven analysis of research ecosystems. The dataset adheres to FAIR principles and is structured to enable reuse, thereby enhancing reproducibility as an ethical practice for generating better insights. Eventually, this dataset aims to accelerate scientific progress by building upon existing work, which is crucial for advancing open science practices.

本数据集为题为《印度社会科学机构排名的负责任研究评估框架》的研究提供支撑。数据集涵盖全国24个由印度社会科学研究理事会（Indian Council of Social Science Research, ICSSR）资助的机构的各类研究产出、学术活动与机构资源。数据主要源自斯高帕斯（Scopus）引文数据库，随后通过ICSSR年度报告进行验证，覆盖2013年至2022年的研究时段。此外，本数据集还附带论文中所用全部图表的高分辨率图像，以提升研究透明度并支持细致的核查分析。本数据集经统筹整理，旨在全面呈现机构的科研表现，通过各类量化指标展示其论文发表产出、学术活动、资源配置、声誉价值、利益相关方参与度以及社会影响力。该数据集支持研究复现、跨机构基准对比以及科研生态系统的政策导向分析。本数据集遵循FAIR原则（FAIR principles），结构设计便于复用，从而强化可复现性这一伦理实践，以产出更具价值的研究洞察。最终，本数据集旨在依托既有研究成果加速科学进步，这对于推进开放科学实践至关重要。