eCommons

 

Global Performing Arts Database (GloPAD) - Preservation version

Other Titles

Abstract

A preservation copy of the data from GloPAD expressed as a compressed, Postgres database dump file called "glopad3.sql.gz" To work with this file, researchers will need to download, reimport/reestablish the file as a working Postgres database. After this, the record metadata can be explored natively. The database was built without foreign keys in the tables. During preservation, Cornell University Library Preservation Services refined a python script that injects the foreign keys into the tables of the database. The code that creates the foreign keys is called create_fk.py and the code to inject them is called add_foreign_keys.sql. The resulting improved database (dumped and compressed) is called glopad3_fk.sql.zip. All three files are also offered in addition to the original database export in case the researcher finds these more suitable for the research need. The full description and rationale for the preservation strategy is provided in the file "Preservation_of_GloPAD.docx".

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Description

Only the metadata from GloPAD is in these databases. The content files can be accessed in Archive-It. A direct list of records and Archive-It links is in the file "WaybackLinks.txt"

The data in this project is from ca.2003, preservation files are from 2023.

Sponsorship

Date Issued

2023

Publisher

Global Performing Arts Consortium, Cornell University
Cornell University Library

Keywords

Global Performing Arts Database; GloPAD; digital preservation

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Global Performing Arts Consortium. (2023). "Japanese Performing Arts Research Center (JPARC) Database - Preservation version". Cornell University Library. https://hdl.handle.net/1813/113843. Note: JPARC metadata is reflected in full within the GloPAD database.

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https://hdl.handle.net/1813/113843

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References

Global Performing Arts Consortium. (1998-2006, archived 2023). "Global Performing Arts Database (GloPAD) [archived]". Cornell University Archives Web Archive.

Link(s) to Reference(s)

https://wayback.archive-it.org/2566/*/http://glopad.org/pi/en/

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Government Document

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dataset
software

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