Research Tools: The Library Innovation Lab at Harvard Law School Announces Launch of Data.gov Archive Search; Access to 311,000 Datasets (17.9 Terabytes of Data)

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DWD Featured Image Feb 9, 2026
DWD Featured Image Feb 9, 2026

From a LIL at HLS Post:

In February, the Library Innovation Lab announced its archive of the federal data clearinghouse Data.gov. Today, we’re pleased to share Data.gov Archive Search, an interface for exploring this important collection of government datasets. Our work builds on recent advancements in lightweight, browser-based querying to enable discovery of more than 311,000 datasets comprising some 17.9 terabytes of data on topics ranging from automotive recalls to chronic disease indicators.

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This interface joins a host of recent efforts not only to preserve government data, but also to make it accessible in independent interfaces. The recently released Data Rescue Project Portal offers metadata-level search of the more than 1,000 datasets it has preserved. Most of these datasets live in DataLumos, the archive for valuable government data resources maintained by the University of Michigan’s Institute for Social Research.

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LIL has chosen Source Cooperative as the ideal repository for its Data.gov archive for a number of reasons. Built on cloud object storage, the repository supports direct publication of massive datasets, making it easy to share the data in its entirety or as discrete objects. Additionally, LIL has used the Library of Congress standard for the transfer of digital files. The “BagIt” principles of archiving ensure that each object is digitally signed and retains detailed metadata for authenticity and provenance. Our hope is that these additional steps will make it easier for researchers and the public to cite and access the information they need over time.

Learn More, Read the Complete Post

Direct to Data.gov Archive Search

Direct to Browse the Archive

Each entry here includes links to both the objects in Source Cooperative and the original Data.gov dataset, if available.

Read original article: Read More


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