Science & Publishing

Metadata driven scientific publishing


Historically the scientific sector has been at the very forefront of the linked data movement, leading the effort towards an open, accessible network of knowledge. The need to share research activities, collaborate towards a common goal, and exchange information using a framework of standards, has always been key to the research effort.

In the modern era of connected networks, the adoption of structured data means the scientific community can now contribute to, and draw from, a distributed pool of knowledge that is way greater than its composing parts.


Whether it's an open platform for the community at large, or a bespoke private implementation of the linked data paradigm, Data Language can help design and deliver a wide range of solutions that are robust, practical, effective.

  • Evidence based decision support

  • Unique expertise in implementation of linked data solutions

  • Domain driven design for knowledge modelling

  • Machine learning for semantic augmentation of content


Shared knowledge

Enrich content with structured metadata, enabling easy linking to standard vocabularies and wider research.



Big or small, when part of a wider framework of knowledge, your data can lead to the powerful insights.


Meaningful data

Semantic models for evidence based analytics enable the meaningful comparison of questions framed on your data as input into decision support systems.

Enhancing digital publishing using linked data and semantic technologies


There is an abundance of resources being published as open data, but harvesting it and integrating it with my own data is a challenge. It feels there’s an opportunity I’m missing out on.


Data will always need some degree of investment in order to yield its full potential. That said, you will find that once an organic infrastructure has been put in place, with a little semantics and lightweight governance, then even rich models become simpler to manage and data itself easier to integrate and share.

What they say about us

"Data Language have a very high level of knowledge in data modelling and overall skills in technical architecture and semantic workflows."
Sara Sharman
Head of Content Services, IET

Success stories


The Institution of Engineering and Technology

INSPEC is a market-leading database of scientific and technical literature that was launched in the 1960s.

View case study


Evidence Based Healthcare at Cochrane

Data Language are working with Cochrane to explore how linked data can be used to enhance their meta-analyses and improve productivity.

View case study

Make an enquiry

If you would like to know more about Data Language or have a project you would like to discuss with us, then please get in touch.

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