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Martin Eve

Martin Paul Eve is Principal R&D Developer at Crossref, working on experimental research and development projects for Labs. Martin is also the Professor of Literature, Technology and Publishing at the University of London’s Birkbeck College.

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Feedback on automatic digital preservation and self-healing DOIs

Martin Eve

Martin Eve – 2023 September 28

In Crossref LabsPreservation

Thank you to everyone who responded with feedback on the Op Cit proposal. This post clarifies, defends, and amends the original proposal in light of the responses that have been sent. We have endeavoured to respond to every point that was raised, either here or in the document comments themselves. We strongly prefer for this to be developed in collaboration with CLOCKSS, LOCKSS, and/or Portico, i.e. through established preservation services that already have existing arrangements in place, are properly funded, and understand the problem space.

A Request for Comment: Automatic Digital Preservation and Self-Healing DOIs

Martin Eve

Martin Eve – 2023 June 29

In LabsR&DTechnology

Digital preservation is crucial to the “persistence” of persistent identifiers. Without a reliable archival solution, if a Crossref member ceases operations or there is a technical disaster, the identifier will no longer resolve. This is why the Crossref member terms insist that publishers make best efforts to ensure deposit in a reputable archive service. This means that, if there is a system failure, the DOI will continue to resolve and the content will remain accessible.

Crossref Research and Development: Releasing our Tools from the Ground Up

This is the first post in a series designed to showcase what we do in the Crossref R&D group, also known as Crossref Labs, which over the last few years has been strengthened, first with Dominika Tkaczyk and Esha Datta, last year with part of Paul Davis’s time, and more recently, yours truly. Research and development are, obviously, crucial for any organization that doesn’t want to stand still. The R&D group builds prototypes, experimental solutions, and data-mining applications that can help us to understand our member base, in the service of future evolution of the organization.