Libraries help us find, learn from, and reuse knowledge. Today, many of those libraries are digital, from music and ebooks to video games.

The same idea can be applied to technical work. Product catalogs, object type libraries, and other digital knowledge libraries make technical knowledge easy to find, reuse, and apply when you need it.

So why not apply this to your technical work? Let’s take a closer look at digital knowledge libraries. 

If you are more of a listener, you can check out our recent webinar on this topic here.

What is a knowledge library?

Knowledge libraries are centrally managed collections of reusable information. They help organizations store concepts, definitions, structures, and standards once and use them many times across people, systems, and projects.

Knowledge libraries help solve common information problems such as inconsistent terminology, duplicated work, poor data quality, and difficult collaboration. In addition, these libraries are digital and contain fully machine-readable data. Your teams use the same reference point, which makes information easier to find, trust, and reuse.

What can a knowledge library contain?

A knowledge library can be shaped to your needs, and can include concepts like:

• Terms: standard terminology
• Definitions: human-readable explanations
• Aspects: characteristics such as diameter or material
• Taxonomy: specialization hierarchies that allow inheritance from general to specific
• Parts: components that make up a system
• Links: connections to other libraries or international standards

Common examples of knowledge libraries:

Here’s what technical knowledge libraries can look like, depending on the domain and level of detail they are designed for, ranging from high-level classifications to very detailed, structured data models:

• Asset type libraries: standardized information about the types of assets an organization manages.
• Requirements libraries: reusable requirements that can be applied and shared across projects.
• Product libraries: structured information about products and their characteristics.
• Document type libraries: standardized definitions and metadata for different types of documents.
• Risk or activity libraries: reusable structures for describing risks, activities, or processes.

Here’s why you should invest in building one

Building a knowledge library is often a project on its own. The benefits become clear when you look at how a library can improve everyday work:

• Standardization: everyone uses the same names and definitions.
• Data quality: clear rules make information more complete and consistent.
• Collaboration: shared meaning reduces misunderstandings.
• Integration: systems can exchange data more easily.
• AI and automation: structured information is easier for software to process.

Four-step guide to starting:

As we’ve established, knowledge libraries can be very powerful, but also very broad. The best way is to start small. You can follow our easy four-step guide:

1. Interview users to understand their needs and identify where information is currently difficult to find, share, or reuse.
2. Turn those needs into user stories that describe what users need the library to help them do.
3. Prioritize quick wins without losing track of longer-term goals, so you can create value early while keeping future needs in mind.
4. Start with a simple version and expand later as new needs, concepts, and connections emerge.

Would you like to start building your own, but have a question? Contact us!

A useful first step is often a central list of terms and definitions for one specific topic. From there, the library can grow into a more complete and connected knowledge resource. For example, a bridge library could start small and grow over time:

• New concepts: Starting off with a library of bridges, later expanding to tunnels.
• New structure: Extending your bridge ontology with a hierarchy of parts, such as the superstructure
• Adding links: Connecting your to another standard, such as IFC
• Connecting libraries: Linking your bridge library to a requirements library, so technical requirements become easier to apply

Conclusion

Knowledge libraries can help your organization improve information management by making knowledge reusable, structured, and easier to share. They support clearer terminology, better data quality, stronger collaboration, and more scalable work. 

They improve consistency today and create a strong foundation for future integration, standards, and AI use cases!