VIDIZMO integration brief · Preservica · vidizmo.ai/integrations/catalog/preservica

Integrations / Preservica

Preservica

Export records into Preservica for long-term digital preservation. Visit website

Preservica is a digital preservation system used by archives, libraries and government bodies to keep records readable for decades.

Material is exported to it under retention and disposition rules, so anything with a permanent or long retention obligation moves into a preservation system built for that, rather than ageing in an operational one.

Readable in Forty Years, Not Just Stored

Open as a two-page brief

This connector is not prebuilt. It would be built per engagement on the platform's export architecture and its REST and webhook APIs, with scope and effort agreed there. Preservica is a digital preservation system used by archives, libraries and government bodies to keep records readable for decades. The distinction it rests on is one operational systems tend to blur: keeping a file is not the same as keeping it readable, and a permanent retention obligation is a preservation problem rather than a storage one.

How it connects

Material would be exported to Preservica on a stored query, such as one matching a retention class held as a custom attribute, so anything carrying a permanent or long obligation moves into a system built for it rather than ageing in an operational one. Existing material would be backfilled, and material already on the archive storage tier is rehydrated before it can be read, which the export would allow for.

What Preservica does on the other side is the reason for the handover, and it is worth naming rather than implying. Format migration, OAIS packages and fixity checking are its work, not the platform's. An engagement would establish which of those obligations the organization actually has, because a body with a statutory permanent record has different requirements from one simply keeping things a long time, and the second sometimes does not need a preservation system at all.

An engagement would also settle the post-export action on this side: whether the operational copy is disposed of under the retention rule, retained as a working copy, or kept until Preservica confirms receipt. Those are three different answers and only one of them is safe by default.

What you can do together

  • Move material under a permanent or long retention obligation into a system built to keep it readable.
  • Select what moves by stored query on a retention class, including material already held, rather than by hand.
  • Let format migration, OAIS packaging and fixity be done by the system whose job they are.
  • Decide what happens to the operational copy after export, rather than leaving it to a default.

A scenario

  1. ScopingThe engagement would establish which preservation obligations actually apply and what happens to the operational copy.
  2. SetupThe export would be configured against Preservica as a stored query on the hearings' retention class.
  3. SelectionThe query would pick up hearings as they are classed and backfill those already held, rehydrating any on the archive tier first.
  4. HandoverThose records would export to Preservica, which would take on format migration, packaging and fixity.
  5. AfterwardsThe operational copy would be disposed of or retained according to the rule agreed, not by default.

What stays where

Preservica does the preservation

Format migration, OAIS packages and fixity checking are its work, not the platform's.

Which obligations apply is established first

A statutory permanent record and a long retention period are different requirements, and the second may not need a preservation system.

What happens to the operational copy is decided

Disposal, retention as a working copy, or holding until receipt is confirmed are three answers, and only one is safe by default.

Processing runs where you deploy the platform

Shared or dedicated SaaS, your own cloud subscription, or on premises.

Products and solutions

Next step

See it on your own Preservica instance. We will show the connection made, the data moving and the output, then size it for your deployment.

Request a demonstration  or write to sales@vidizmo.ai

sales@vidizmo.ai  ·  vidizmo.ai/integrations/catalog/preservica

Not what you need?

We build it

Send us your API documentation and we build, test and maintain the connector, at no development cost to you.

Request this integration

Bring an MCP server

If the system publishes a Model Context Protocol server, AI Intelligence Hub connects to it as a client with configuration alone.

Define a REST endpoint

Describe your endpoint and it becomes a node in an agent workflow, without waiting on our roadmap.