Sharing and Locating Research Data in Humanities and Social Science Studies

Sharing and reusing data can effectively reduce redundant efforts in data collection. It also enhances the efficiency of scientific research investments by preventing the reinvention of the wheel. Building a sustainable data-reuse process and culture requires frameworks that include policies, standards, roles, and responsibilities, all of which must address the diverse needs of data providers, curators, and (re)users alike. A critical step in the data sharing and (re)use cycle involves researchers depositing their research data into data-sharing infrastructures, keeping their data in a sharable and usable form, making other researchers aware of their data, and identifying data that are (re)usable for their needs. In this session, I aim to introduce some ideas and techniques for preparing research data for sharing. I will also introduce 2 to 3 data repositories ideal for researchers depositing their data and seeking (re)usable data for their studies. Additionally, I will offer several tips and strategies for identifying and utilizing (re)usable data effectively. The session is structured to last approximately 50 minutes, comprising a 40-minute presentation followed by a 10-minute question-and-answer segment. This presentation was part of the UC Love Data Week 2025 program (https://uc-love-data-week.github.io).

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-13
DOI
https://doi.org/10.5281/zenodo.14868119
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Sharing and Locating Research Data in Humanities and Social Science Studies

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Sharing and Locating Research Data in Humanities and Social Science Studies

article en

Abstract

Sharing and reusing data can effectively reduce redundant efforts in data collection. It also enhances the efficiency of scientific research investments by preventing the reinvention of the wheel. Building a sustainable data-reuse process and culture requires frameworks that include policies, standards, roles, and responsibilities, all of which must address the diverse needs of data providers, curators, and (re)users alike. A critical step in the data sharing and (re)use cycle involves researchers depositing their research data into data-sharing infrastructures, keeping their data in a sharable and usable form, making other researchers aware of their data, and identifying data that are (re)usable for their needs. In this session, I aim to introduce some ideas and techniques for preparing research data for sharing. I will also introduce 2 to 3 data repositories ideal for researchers depositing their data and seeking (re)usable data for their studies. Additionally, I will offer several tips and strategies for identifying and utilizing (re)usable data effectively. The session is structured to last approximately 50 minutes, comprising a 40-minute presentation followed by a 10-minute question-and-answer segment. This presentation was part of the UC Love Data Week 2025 program (https://uc-love-data-week.github.io).

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 42%
Research Data Management Practices
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Sharing and Locating Research Data in Humanities and Social Science Studies · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS