Collection management systems for museum objects: How to choose
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Somewhere in your museum, an object is catalogued but practically lost, because its photographs, condition reports, and loan papers sit in three different places.
A collection management system brings those records back together. In museums, CMS refers to software that organises the objects in your care, such as specimens, artworks, and artifacts, along with the research and documentation that belongs to each one.
The scale of the challenge is significant. According to AIIM, unstructured information makes up an estimated 80 to 90% of an organisation's data. In a museum, that information is spread across binders, spreadsheets, and shared drives. The larger the collection, the more this costs in staff time and insurance risk.
This post explains what collections management software does, how it works day to day, and how to choose one. It also looks at how the Natural History Museum, London approached the decision for its 80-million-object collection.
Key Takeaways
- A collection management system is specialised software that catalogues, digitises, and tracks museum objects, bringing scattered records, photos, and condition histories into one searchable, auditable place
- In the UK, museums in the Accreditation scheme must meet, or plan to meet, the nine Spectrum primary procedures, so your system has to support them
- AI-powered classification and metadata extraction let institutions digitise backlogs far faster than manual cataloguing
- Choosing the right system means assessing your users, your standards, your integrations, and your total cost of ownership, not just its feature list
- The Natural History Museum, London chose Doxis after a four-stage public tender with 13 vendors, and more than 25 million metadata records have been digitised so far
What is a collection management system?
A collection management system is software used by museum, archive, and gallery staff to catalog, store, and maintain records on the objects in their care. It brings together object records, images, condition reports, loan histories, and document management into a single searchable platform, replacing the spreadsheets, binders, and disconnected databases most collections still run on.
Collections management software is also used well beyond museums: corporate archives, insurance companies with historical policy records, and research libraries all face the same challenge of tracking large volumes of physical and digital assets over decades.
How does a collection management system work?
At its core, a collection management system handles four connected jobs: cataloguing objects, digitising backlogs, tracking where objects are and what state they're in, and controlling who sees what.
Cataloging and metadata
Every object gets a record: its name, origin, condition, location, and any related documents or images. Good metadata is what makes a collection searchable rather than just stored, so your system needs flexible, customisable fields that adapt to each type of object.
Digitization and AI-powered classification
Digitising a backlog of photographs, ledgers, and handwritten records used to mean manual data entry, object by object. AI changes that maths. Doxis AI.dp uses AI-powered document classification to sort and tag scanned documents automatically and extract metadata such as names, dates, and reference numbers, so nobody has to type each field by hand.
The models sharpen their accuracy as staff review and correct the output. The system improves the longer it's used.
Location, loan, and condition tracking
Museum objects move: between galleries, on loan to other institutions, into and out of conservation. A collection management system tracks where every object is, its condition at each point in time, and who is responsible for it, which matters enormously when an object is, quite literally, irreplaceable.
On the Doxis platform, this tracking is built from process automation and electronic files: workflows, deadline monitoring, and a full status history. A ready-made loan approval workflow isn't part of the standard scope. It's configured for your procedures from these building blocks.
Access and compliance controls
Not every record should be visible to every user. Role-based access controls let you restrict sensitive information, such as donor details or acquisition values, while keeping the collection broadly searchable for staff and researchers.
This matters more than it first appears. Lender and donor details in loan agreements and acquisition files are personal data under UK GDPR, yet the same files belong to the permanent history of the object. Granular access rights, data anonymisation, and a complete audit trail let you protect that personal data and keep the object record intact, with proof of who accessed which record and when.
A step-by-step guide to your next archive project
Digitizing irreplaceable objects is one thing. Keeping that archive audit-proof, GDPR-compliant, and accessible for decades is another; our guide on digital archiving walks through exactly how to get both right.
Read nowMuseum collections management software: a specialized use case
Museum collections management software has requirements that go beyond a standard document repository. It needs to describe objects that don't fit conventional data models (a 3.5-ton meteorite, a taxidermied bird, a fragment of manuscript), connect those objects to the people and expeditions associated with them, and support research that spans centuries.
Generic file storage rarely holds up to that. The right platform combines structured data (dates, classifications, measurements) with unstructured content (photos, field notes, correspondence) stored through electronic archiving, and makes the connections between them visible and searchable.
Case study: the Natural History Museum, London
The Natural History Museum, London is responsible for more than 80 million objects, including a 3.5-ton meteorite, one of the first T-Rex specimens ever unearthed, and a giant squid among its prize exhibits. Around 300 scientists rely on this collection daily for research.
Through its RECODE (Rethinking Collections Data Ecosystems) project, the Museum chose Doxis to modernize how that collection is managed: digitizing records, automating loans management, and building a platform that scales as the collection grows. More than 25 million metadata records have already been digitized.
As Dr. Steen Dupont, the project's program manager, put it: the goal isn't just digitizing objects, it's describing the natural world in a way that's interoperable, sustainable, and future-proof. That means combining structured and unstructured data, building semantic connections between records, and using machine learning to surface insights that would otherwise take researchers hours to find.
You can hear the full story, including how Doxis' Professional Services team worked with the Museum to co-develop features like two-way relationship modeling between collectors and specimens, in the Enterprise Content Show podcast recap.
How to choose the right collection management system
With dozens of vendors in the space, picking the right system takes more than a feature checklist. Here's how to approach it.
Assess your needs and users
Start with the people who will use the system daily: curators, conservators, archivists, and researchers all have different priorities. Identify whether your institution needs a quick, lightweight solution or a specialist platform built for large, complex collections, and involve those future users in the selection process from the start. Plan for training and rollout early, too. This is too often treated as an afterthought when it should be one of the first things you scope.
Evaluate flexibility and integration
Ask how each system handles categorization. Is it flexible and customizable to your collection's specific object types, or does it force everything into a fixed schema? Check whether it integrates with the other systems your institution already relies on, and ask vendors for case studies from similar organizations managing collections the way you intend to. Contacting those reference customers directly is worth the extra step.
Compare total cost of ownership
Run a proper cost-benefit analysis rather than comparing sticker prices alone. Factor in support costs, upgrades, and service packs, plus the number of licenses and machines you'll need to budget for based on who will be using the system.
Make your decision
Before signing, make sure every open question has been answered by your shortlisted vendors. Choose a partner who is collaborative and thorough. When the data you're protecting includes some of the world's most culturally significant objects, that diligence pays for itself many times over.
Why choose Doxis for collection management
Managing millions of objects, and the metadata, images, and correspondence attached to them, is exactly the kind of content-heavy, high-stakes challenge Doxis is built for. The Doxis Intelligent Content Automation platform brings structured and unstructured collection data together in one system, so records, images, and archival documents stay connected instead of scattered across separate tools.
Doxis helps institutions and enterprises alike:
- Digitize and classify large backlogs of documents and images automatically with Doxis AI.dp, cutting manual data entry
- Track object location, condition, and loan history in one auditable record
- Apply role-based access controls to protect sensitive or high-value information
- Scale from thousands to tens of millions of records without re-platforming
- Connect collection data with existing archiving and document management systems
- Build semantic connections between objects, people, and research over time
According to the Forrester Total Economic Impact™ study of Doxis (2023), organizations using Doxis Intelligent Content Automation saw a 336% ROI with payback in under six months. Doxis is also recognized as a Leader in the Gartner® Magic Quadrant™ for Document Management 2026.
Ready to see what Doxis can do for your collection? Request a free demo.
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FAQs about collection management systems
What is a collection management system?
A collection management system is software used by museum and archival staff to catalog, store, and maintain records of the objects in their care, keeping images, condition reports, and documentation in one searchable place.
What is collection management?
Collection management is the process of overseeing and caring for the objects in an institution's collection, from acquisition and cataloging through to conservation, loans, and eventual deaccession.
What is the collection management process?
It involves strategic planning, assessing needs, analyzing the existing collection, setting policies and procedures, budgeting, acquisitions and deaccessions, and ongoing evaluation.
What is the first step in collection management?
Building and maintaining a complete database of every object your institution is responsible for, so nothing is managed, insured, or researched from memory alone.
What is the best collections management software?
The best system depends on your collection's size, object types, and existing infrastructure. Large, complex collections that need to combine structured and unstructured data at scale, such as the Natural History Museum, London's 80-million-object collection, benefit from a platform like Doxis that unifies cataloging, digitization, and AI-powered classification in one place.
How much does collections management software cost?
Pricing varies by vendor and depends on the number of users, the size of your collection, and whether the system is cloud-hosted or on-premises. Factor in support, upgrades, and training costs alongside the license fee when comparing options.
Does collections management software integrate with other systems?
Most modern platforms integrate with existing document management, archiving, and research systems. Ask vendors directly how their system connects to the tools your institution already uses before making a final decision.
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