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Science & Publishing

Metadata driven scientific publishing

Overview

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.

Capabilities

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

proposition

Shared knowledge

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

proposition

Insights

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

proposition

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

Problem

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.

Solution

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

IET

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

BBC

A Data Language Journey

Our long term relationship with the BBC is testament to the faith the BBC have in Data Language to deliver both expertise and value. Long term relationships are as important to us as they are to our clients

View success story

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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