Corpora Collection

Collection

Call Number: UA254

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Scope and Contents

This collection contains videos created by students, faculty, and staff at Tufts University that were previously ingested into Corpora. Corpora was a platform that brought together humanities and science professionals, developers, metadata specialists, and librarians to develop new ways to search, cross-reference, visualize and interpret multimedia collections. The project resulted from Tufts faculty member Kris Manjapra's "Visualizating Oral Histories" project and was developed by Tufts Technology Service's Educational & Scholarly Technology Services. Corpora was decommissioned in 2021. The material in this collection consists of student work, including final projects for a course taught by Colin Orians; short films produced by Tufts Center for the Enhancement of Learning and Teaching (CELT) and Educational and Scholarly Technology Services; and short documentary films related to Tufts.

Dates

circa 2010 -- 2015

Conditions Governing Access

This collection is open for research.

Conditions Governing Use

Some material in this collection may be protected by copyright and other rights. Please see “Reproductions and Use” on the Digital Collections and Archives website for more information about reproductions and permission to publish. Copyright to all materials created by Tufts University employees in the course of their work is held by the Trustees of Tufts University.

Extent

31 Digital Object(s)

1.64 Gigabytes

Language of Materials

English

Additional Description

Overview

Arrangement

This collection is arranged in one series: 2021 accessions.

Immediate Source of Acquisition

Transferred by Mike Korcynski, Principal Software Engineer, 2021, accession MS-2022-024.

Processing Information

This collection was processed by Records and Accessioning Archivist, Jane Kelly, in January 2022. Materials were bagged using Bagger and ingested into the Tufts Digital Library. Received order was maintained. A file-level inventory and series and collection-level description were created at the time of processing. Circa dates were determined based on metadata that was exported from Corpora. These dates most accurately reflect when the content was uploaded to Corpora.