Try out our Laces apps Laces Suite

Reference Data

Standardize the meaning and exchange of data and make your data available to everyone, regardless of which application the data is used in.

Offer domain experts user friendly applications instead of IT specialist tools

Align your company standards coherently with industry standards

Share your reference data in an Open Standard for your ecosystem to use

I want a demo!

Current situation

Reference data is often managed by IT specialists in product sheets. Outdated and rigid standards are still mostly used for data exchange.

Consequence: reusing data efficiently is practically impossible. When data is exchanged between different systems, errors occur and data exchange often involves high levels of IT investment.

Desired situation

Make your data easily available for others (internal and external) to use in any application. You make this possible by standardizing both meaning and data exchange.

The added value of working with Reference Data (or Object Type Library) has now been proven and its use is becoming more widespread. But most applications for managing such a library, are not suitable for publishing in Linked data. We believe in the power of open standards and believe that it will be used more and more for data exchange.

From whom

Information managers, data managers, and domain experts capture information in a structured way in a Reference Data Library (RDL). Finding and using this data, in any application, becomes much more efficient and effective with an RDL. This applies both to use in applications within your company and to exchanging standardized data with customers and suppliers.

Related Client cases

Case study

Laces Actively Involved in ILS Configurator

Suppose you work with several engineering parties on a large construction, like an office building. And for this, you have to share information from multiple sources. How do you do that efficiently? The agreements that define which person should transfer which information in which way are laid down in information delivery specifications (ILS in Dutch). […]


The way to make your master data FAIR

According to the FAIR principles, data should be as Findable, Accessible, Interoperable, and Reusable as possible. These principles were created because data is becoming more complex and produced faster, and we are becoming increasingly dependent on it. And perhaps most importantly, organizations need agreements and protocols to collaborate through data exchange. But the big question […]


Find out why Distributed Data Management is your new best friend

Do you want to make fewer mistakes and lose less time processing and sharing data? This is your lucky day! You’re just a white paper away from your goal.