Moving from Excel or a legacy provider without losing momentum, data integrity, or staff buy-in.
Changing a collections management system is one of the most consequential operational shifts a museum can undertake. It affects not only how collections data is stored, but how it is used across curatorial work, registration, conservation, loans, exhibitions, reporting, and long-term planning.
Whether your institution is moving from Excel, replacing a legacy database, or transitioning from another vendor, the technology decision is only part of the story. The success of the transition depends on change management: the planning, communication, governance, and training that helps people adopt a new way of working.
Below is a strategic framework museum professionals can use to approach a collections management system transition with clarity, structure, and confidence.
Why Change Management Matters in CMS Transitions
A collections management system is not a standalone tool. It is an institutional system of record that affects nearly every department. A transition affects:
- Staff workflows and responsibilities
- The consistency and usability of collections data
- Reporting, compliance, and audit trails
- Access controls and data security
- Institutional trust in the accuracy of records
Without a structured change management plan, museums risk delayed timelines, inconsistent adoption, data issues, and staff frustration, even if the selected software is strong.
Museums increasingly recognize that purpose-built collections management platforms, such as the TMS Suite, are designed to support the complexity of institutional workflows, governance requirements, and long-term collections stewardship. But even the most robust system requires careful organizational planning to succeed.
Change management ensures that people, not just technology, remain at the center of the transition.
Step 1: Anchor the Change in Institutional Strategy
Before evaluating software, leadership should clearly articulate why change is necessary. Common drivers include:
- Limitations of spreadsheet-based tracking
- Inability to scale with growing collections
- Reporting or compliance requirements
- Integration needs with digital asset management, online collections, or financial systems
- Risk mitigation and improved data security
The transition should be framed not as a replacement of a tool, but as an investment in institutional sustainability and stewardship. When staff understand how a new CMS supports mission-driven goals (such as increased accessibility, stronger collections governance, or improved operational efficiency) they are more likely to engage constructively in the process.
When staff understand the “why,” they are more likely to support the “how.”
Step 2: Establish Cross-Departmental Governance
One of the most frequent challenges in CMS transitions is siloed decision-making. Collections data touches nearly every operational area, and each department may have different priorities.
A practical governance structure includes:
- An executive sponsor (for authority and strategic alignment)
- A project lead (often registration or collections management)
- Key stakeholders from curatorial, conservation, IT, and leadership
- A decision-making process for requirements, workflows, and standards
This group should document current workflows, identify pain points, and define functional requirements. Involving stakeholders early reduces resistance later and surfaces practical considerations that might otherwise be overlooked.
Stakeholders should document current workflows and ensure the system supports institutional priorities—not individual preferences.
Step 3: Conduct a Realistic Assessment of Current Data
Institutions moving from Excel or legacy systems often underestimate the condition of their data. Years of decentralized entry can result in:
- Inconsistent terminology and naming conventions
- Duplicate records
- Incomplete provenance or location histories
- Varied formats for dates, measurements, and geography
- Unstructured text fields
A CMS transition is an opportunity to improve data quality; not simply transfer existing issues into a new environment.
A structured data audit should:
- Identify inconsistencies and redundancies
- Map legacy fields to the new system’s data model
- Establish controlled vocabularies and data standards
- Define data governance policies for the future
Data cleanup requires time and resources, and institutions should plan accordingly. Attempting to migrate without preparation often leads to extended project timelines and user frustration.
Access the data; this is where Museums could shift from “data entry” to “data governance.
Step 4: Plan for Staff Adoption, Not Just System Configuration
One of the most overlooked risks in CMS transitions is the human factor. Technology adoption depends on trust and confidence. Staff who have relied on Excel or a familiar legacy system for years may feel apprehensive about losing control, institutional knowledge, or efficiency.
Effective change management strategies include:
- Transparent communication about timelines and expectations
- Regular updates on project milestones
- Opportunities for staff to test and provide feedback
- Acknowledgment of concerns and workload impacts
Training should not be viewed as a single event but as an ongoing process. Role-based training that is tailored to registrars, curators, conservators, and administrators to ensure relevance and supports adoption.
Equally important is identifying “champions” within departments who can support peers and reinforce best practices. Peer advocacy often carries more weight than top-down directives.
Museums should also identify internal champions—staff who can help reinforce best practices and support colleagues during adoption.
Step 5: Plan for Workflow Redesign, Not Just System Configuration
A common misconception is that a new CMS should replicate existing processes exactly. In reality, a transition is an opportunity to modernize workflows.
Institutions should examine:
- How acquisitions are approved and documented
- How object movements and location changes are tracked
- How loans and exhibitions are managed
- How digital assets are linked and accessed
- How reports are generated for leadership or boards
Collections management platforms built specifically for museums, such as the TMS Suite, are designed to support configurable workflows that reflect institutional best practices while maintaining data integrity across departments. Rather than customizing a new system to match outdated or inefficient practices, museums should align workflows with recognized standards and long-term institutional goals.
Instead of rebuilding old inefficiencies, museums can align workflows with clearer standards and better data consistency.
Step 6: Reduce Risk with Phased Implementation
For many museums, switching everything at once introduces unnecessary risk. A phased implementation approach can reduce disruption by:
- Migrating core collections data first
- Gradually enabling advanced modules or integrations
- Running parallel systems temporarily for validation
- Prioritizing high-risk or high-visibility areas
Clear validation protocols should be established to confirm that migrated data is complete and accurate before decommissioning the legacy system.
Risk mitigation also includes cybersecurity considerations, user access controls, backup strategies, and documentation of system configurations.
Phased implementation is also a strong strategy for institutions with limited internal capacity.
Step 7: Establish Long-Term Data Governance
Change management does not end at go-live. Sustained success requires clear structures that support consistent data practices over time, including defined data entry standards, ongoing staff training, well-designed permission structures, and regular data audits. Many institutions also benefit from appointing data stewards or governance committees responsible for maintaining standards and guiding long-term data quality.
Governance should also provide staff with clear, approachable ways to ask questions. Some organizations designate a specific staff member or team responsible for data standards and offer regular “office hours” where colleagues can drop in to discuss workflows, data entry practices, or system use. Providing a named contact and dedicated time for questions helps reinforce standards while reducing uncertainty. Without long-term governance, even the most sophisticated system can gradually devolve into inconsistency.
A collections management system should function as a shared institutional resource; one governed by clear policies rather than individual practice.
Viewing CMS Transition as Institutional Evolution
Museums operate in an increasingly complex landscape: heightened accountability, expanding digital access expectations, and growing collections responsibilities. A modern collections management system serves as foundational infrastructure in meeting these demands.
Approached thoughtfully, with structured change management and cross-departmental collaboration, a CMS transition can:
- Improve data integrity and consistency
- Streamline operational workflows
- Strengthen risk management
- Increase accessibility and reporting capabilities
- Support long-term strategic growth
The most successful institutions recognize that change management is not about minimizing disruption alone; it is about enabling progress.
By pairing structured change management with a museum-focused platform such as the TMS Suite, institutions can align people, process, and technology to support long-term collections excellence.
Download the Navigating Change Management for Museums Transitioning Their Collections Management System and plan your collections management system transition with confidence.
