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03 Jul, 2018

London School of Economics Library partners with Arkivum to use PERPETUA

Emma Davenport

London School of Economics and Political Science (LSE) – ranked the fifth best university in the UK and 25th in the world – has chosen Arkivum PERPETUA…

27 Jun, 2018

Arkivum, Artefactual, the Open Preservation Foundation and Preservica collaborate on new Jisc initiative for sharing preservation action best-practice

Emma Davenport

The Preservation Action Registry (PAR) project will deliver an initial proof-of-concept platform for the exchange of recommended preservation actions, as part of the Jisc Research Data Shared…

25 Jun, 2018

Arkivum announces huge leap forward with release of v5.0 for smart digital preservation, data safeguarding and lifecycle management

Sinéad McKeown

Arkivum are excited to announce version 5 of their product which is the first release incorporating open source technologies in our new microservices framework. This framework uses modern,…

12 Jun, 2018

Arkivum Certified to ISO 27001:2017 Standard

Emma Davenport

Reading, Berkshire – 12 June 2018 – Arkivum, the trusted software and service partner for long-term data lifecycle management and digital preservation is proud to announce that we have…

22 May, 2018

Final blog in series: Four economic fallacies of long term data management and how to avoid the surprising cost of “doing nothing”

Daniel Hickmore

Many Research & Development (R&D) executives express the same frustration. They may have a cure for cancer, or a revolutionary pharmaceutical discovery waiting to happen, but they just cannot quite grasp it. They think they already have the data somewhere, but have difficulty in…

17 May, 2018

Blog series (part 4): Data degradation in life sciences- The final economic fallacy of long term data being temporarily dynamic and path dependent

Daniel Hickmore

The final economic fallacy is that long term data management is temporarily dynamic and path dependent. I would argue that data is certainly temporarily dependent, but not path dependent. Data is constantly degrading in every temporal dimension; the past, today and..