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🦜 IASSIST Quarterly

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The IASSIST Quarterly at https://iassistquarterly.com is an international, peer-reviewed, indexed, open access quarterly publication of articles dealing with social science information and data services, including relevant societal, legal, and ethical issues. The journal has been awarded the DOAJ Seal in recognition of open access best practices. <a href="<a href="https://doaj.org/toc/2331-4141">https://doaj.org/toc/2331-4141</a>" target="_blank" style="display: block; width: 150px; height: auto;"><img src="<a href="https://doaj.org/static/doaj/images/logo/seal.png">https://doaj.org/static/doaj/images/logo/seal.png</a>"/></a> The IASSIST Quarterly represents an international cooperative effort on the part of individuals managing, operating, or using machine-readable data archives, data libraries, and data services. The IASSIST Quarterly reports on activities related to the production, acquisition, preservation, processing, distribution, and use of machine-readable data carried out by its members and others in the international social science community.

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Assessing data management and sharing plans: The “state of play” at Duke and opportunities for cross-campus collaborations

https://iassistquarterly.com/index.php/iassist/article/view/1168

Published: December 19, 2025 07:00

Over the past few years, the United States has implemented a second round of data management policies, exemplified by the 2023 NIH Data Management and Sharing Policy and 2022 “Nelson Memo.” Effectively supporting public access to data and a data sharing…

Conceptions of data literacy in the statistics education literature

https://iassistquarterly.com/index.php/iassist/article/view/1156

Published: December 19, 2025 07:00

Data literacy is an increasingly important skill in our data-driven world, and librarians and other information professionals can play a key role in creating a data literate population due to data literacy’s close association with information literacy.…

Assessing the landscape for discovery and access to historical Canadian census data

https://iassistquarterly.com/index.php/iassist/article/view/1167

Published: December 19, 2025 07:00

The Canadian census is a primary source of information about Canada and the people who live there, and that information is used by researchers, the private sector, public servants and residents. However, access to Canadian census data is fragmented and…

Perspectives on data: Management, access, and education across institutions

https://iassistquarterly.com/index.php/iassist/article/view/1187

Published: December 19, 2025 07:00

In the data steward’s shoes: An autoethnographic exploration of everyday challenges

https://iassistquarterly.com/index.php/iassist/article/view/1172

Published: December 19, 2025 07:00

The role of Data Stewards (DSs) in academic institutions has become increasingly complex as research data management (RDM) policies evolve under the pressures of open science, data protection regulations, and funding mandates. This paper examines the…

Adventures in data literacy: When the gap you were trying to identify turns out to be a chasm.

https://iassistquarterly.com/index.php/iassist/article/view/1138