Glossary

Knowledge Management

Glossary

Knowledge Management

Knowledge Management

Knowledge management in research is the practice of preserving, organising, maintaining, and sharing research evidence so it can inform decisions beyond the original study.

Research knowledge becomes difficult to use when its context goes missing. A slide may say that customers struggle with permissions, while the study date, participant group, tested version, and original evidence sit somewhere else. The finding remains easy to repeat and increasingly hard to judge.

Knowledge management keeps those connections available. It covers both the organisation of material and the ongoing work of deciding what is current, who can use it, and how someone unfamiliar with the original project will find it.

Preserve the context that changes the meaning

Store a finding with its source study, relevant audience, date, method, and supporting evidence. Explain the limits of the claim, including whether it describes a few observed cases or an estimate from a larger sample. Short summaries are useful when they lead back to that fuller account.

In an illustrative repository, “administrators need approval before adding users” would be too broad on its own. A more useful record might explain that this occurred in interviews with procurement-controlled organisations using a particular plan. A team serving small businesses can then judge its relevance without treating the statement as universal.

Breaking studies into individual findings can aid retrieval, but keep the original analysis accessible. A collection of detached quotations is vulnerable to selective reuse, even when every quotation is searchable.

Organise around how colleagues ask questions

The ResearchOps Community’s minimum viable taxonomy guidance offers principles for organising research knowledge. In practice, a manageable set of labels for audience, product area, journey stage, and method is often easier to maintain than an elaborate structure nobody applies consistently.

Test the system with real retrieval tasks. Ask a colleague to find what is known about customers abandoning setup, then watch where they search and what they consider trustworthy. This is an information architecture problem as well as a documentation problem.

Keep access appropriate to the material. A broad audience may need a redacted finding while recordings remain restricted under the study’s consent and retention arrangements. Easier discovery should not silently widen permission to use personal data.

Give the knowledge a future owner

Assign responsibility for updating summaries when a product changes, linking newer studies, and retiring material that no longer supports the claim being made. An old finding can still be valuable historical evidence, provided its status is clear.

AI-assisted retrieval can help people locate material, but generated answers need source references and review. A fluent synthesis can merge findings from incompatible audiences or omit an important qualification. ResearchOps can support the processes around these tools so the organisation gains access to accumulated evidence without losing the distinctions that made it useful.

Further reading

Articles

  1. Minimum viable taxonomy — ResearchOps Community
    A practical discussion of organising research knowledge. Useful when your repository has plenty of material but inconsistent labels make it difficult for colleagues to find and reuse it.

Books

  1. Research That Scales: The Research Operations Handbook — Kate Towsey
    Includes a treatment of research knowledge within the wider operating system for research. Useful when a repository project needs decisions about ownership, reuse and upkeep as well as tags and search.