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Enhancing Research Transparency and Accountability

Learn about the ISPS Data Archive

About the ISPS Data Archive

Overview

The ISPS Data Archive is a digital collection of data, metadata, code, and supporting materials produced by ISPS-affiliated researchers. Hosted on the Yale Dataverse platform, the archive organizes content by study, making it easy to locate datasets, analysis code, documentation, and related files.

Most materials in the archive come from social science experiments and include the data itself, program files used for analysis, and documentation needed to understand and reuse the data. The archive also provides curation, storage, preservation, and publication services to ensure long-term accessibility and usability.

Why It Matters

The ISPS Data Archive advances transparency and reproducibility in social science research. By providing access to research materials, it allows scholars to verify the existence of datasets, reproduce analyses, and examine additional materials tied to specific studies.

When permissions allow, researchers can access and reuse data to extend existing work and contribute new insights. This approach strengthens the credibility of research and supports a more open and collaborative scientific community.

How the Archive Supports Research

ISPS prepares and maintains research materials using a standards-based approach aligned with FAIR principles — Findable, Accessible, Interoperable, and Reusable. This ensures that users can discover, access, and work with data efficiently over time.

ISPS supports high-quality research sharing by reviewing deposits and enhancing them for long-term usability. By enforcing accessibility and usability standards, the archive ensures that all materials remain meaningful, well-documented, and ready for analysis.

Reproducibility support

We help ISPS affiliates meet open scholarship requirements for sharing research. 

Contact us about reproducible research

Curating for Reproducibility

The ISPS Data Archive curation process implements the Data Quality Review framework by using YARD to produce verified reproducible research packages.

Data Quality Review

The ISPS Data Archive curation process implements the data quality review framework.

When conducting a data quality review, ISPS staff assess data and associated files to ensure they are independently understandable for informed reuse. This is an active process, involving a review of the files, the documentation, the data, and the code.

Learn more at:

YARD

YARD (Yale Application for Research Data) is a Yale-developed platform for curating, reviewing, and archiving reproducible social science research.

The open-source software structures the data curation and code review workflow. In addition to traditional curatorial tasks, dedicated data curation staff replicate analyses and validate published results for each study before publishing the files online.

At Yale, the tool as currently configured feeds into the ISPS Data Archive and is intended for the use of ISPS affiliates.

P Aronow

Stuart Craig

Simona De Paolis

Valerie Frey

Jennifer Jones

Changwook Ju

Grant Kopplin

Mary McGrath

Lilla Orr

Nicholas Ottone

Jackson Richmond

Supriyo Roy

Jerome Schafer

Brian Shih

Michael Weaver

John Williams

Jennifer Wu

Yuntian (Alicia) Xia

Hongda Xiao