DCC Case Study – JSTOR/Harvard Object Validation Environment (JHOVE)

Martin Donnelly

10 citations0/0 files storedERA

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Digital and Traditional Archives Management Research Data Management Practices Library Science and Information Systems

Abstract

Accurate file format information is crucial for preserving access to and the rendering of digital information over time. As such, it is vital that when a digital object is deposited in a repository, the object in question is of the type it purports to be. However, the representation of file formats is easily corruptible - whether accidental or intentional. This is of particular concern to institutions with an interest in preserving digital materials in repositories. The JSTOR/Harvard Object Validation Environment (JHOVE) is an Open Source, extensible framework for the format-specific identification, validation, and characterisation of digital objects.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 10 citations exist upstream.

Cited by

2014“How Can We Know the Dancer from the Dance?” Intention and the Preservation of Digital Objects 2013DePICT : a conceptual model for digital preservation 2010Preserving long-term access to united states government documents in legacy digital formats

Imported from OpenAlex (CC0) — nothing here is generated.