
This document contains the full version of the survey questionnaire used in the empirical study titled "Research Data Management, Sharing, and Reuse Practices in Social Sciences: An Empirical Study of Indian Academia." The study aims to examine how researchers in India’s social science disciplines engage with data curation, management, sharing, and reuse. The questionnaire includes 37 items across five sections: (1) Demographics, (2) Data Curation and Management, (3) Data Sharing, (4) Data Reuse, and (5) Incentives for Open Data Practices. The instrument was developed using a theory-driven, interdisciplinary framework informed by global best practices in research data management (RDM), open science, and FAIR data principles. It integrates standardized definitions of key concepts (e.g., research data, metadata, data repositories) and includes structured Likert-scale items, categorical choices, and open-response prompts. This study received formal ethical approval from the Institutional Ethics Committee, Institute of Development Studies Kolkata (IDSK). All research activities involving human subjects comply with the Declaration of Helsinki, including informed consent, anonymization, and data protection. The study also adheres to the Sex and Gender Equity in Research (SAGER) guidelines by disaggregating data by sex/gender and analyzing equity-related variables where applicable. This version is shared publicly to support transparency, methodological openness, reproducibility, and reuse in research assessment and Open Science initiatives. The questionnaire may be adapted for further cross-national, longitudinal, or disciplinary studies on research data practices.
Social Science Research, Data Sharing, Equipment Reuse/statistics & numerical data, Citizen Science, Research Infrastructure, Research/statistics & numerical data, Equipment Reuse/statistics & numerical data, Research/statistics & numerical data, Social survey, Opinion survey, FAIR Data, FAIR Principles, Open Science, Data stewardship, Behavioral Research/statistics & numerical data, Open Data, Citizen Social Science, Data Reuse, Research Data, Data Curation, Research Data Management (RDM), Data Management, Behavioral Research/statistics & numerical data
Social Science Research, Data Sharing, Equipment Reuse/statistics & numerical data, Citizen Science, Research Infrastructure, Research/statistics & numerical data, Equipment Reuse/statistics & numerical data, Research/statistics & numerical data, Social survey, Opinion survey, FAIR Data, FAIR Principles, Open Science, Data stewardship, Behavioral Research/statistics & numerical data, Open Data, Citizen Social Science, Data Reuse, Research Data, Data Curation, Research Data Management (RDM), Data Management, Behavioral Research/statistics & numerical data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
