Update about.md

Author: stain

about.md

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-The [eScience Lab](/) research group is led by [Professor Carole Goble](http://www.manchester.ac.uk/research/Carole.goble/). The group is based at the [Department of Computer Science](http://www.cs.manchester.ac.uk/),  [The University of Manchester](http://www.manchester.ac.uk). It's affiliated with the wider [Information Management Group](http://www.cs.manchester.ac.uk/img/).
 
-The [eScience Lab team](/people/) are focused on research and development around a set of tools designed for data driven and computational research. The tools support the coming together of people, data and methods in a particular research area; this is also know as an _e-laboratory_. These e-Laboratories or _e-Labs_ support domains as diverse as systems biology, social science, music, astronomy, multimedia and chemistry. The [tools](/products/) have been adopted by a large number of projects and institutions.
+The eScience Lab research group is led by [Professor Carole Goble](http://www.manchester.ac.uk/research/Carole.goble/). The group is based at the [Department of Computer Science](http://www.cs.manchester.ac.uk/),  [The University of Manchester](http://www.manchester.ac.uk). It's affiliated with the wider [Information Management Group](http://www.cs.manchester.ac.uk/img/).
 
-Our [research](/publications/) and [projects](/projects/) span a wide array of topics, including eScience, bioinformatics, biodiversity, scholarly communication, reproducible science, linked data, provenance, community building and knowledge representation.
+The [eScience Lab team](/people/) are focused on the research and development of products and practices designed for data driven and computational research. The eScience  [tools](/products/) and techniques support the coming together of people, data and methods, the sharing of the research objects of science and the automation of analysis and data pipelines using computational workflows.
 
-The eScience Lab currently has guaranteed funding until 2025.
+Our work can be called "Translational Computer Science" as we innovate solutions using state of the art knowledge
+approaches but also produce and run production services and resources for Digital Research Infrastructures, particularly
+those in the Biomedical Sciences and Biodiversity. Our tools and techniques have been adopted by a large number of
+[projects](/projects/)  and institutions across Europe and internationally, as well as national organisations.
+
+Of particular focus in our work is to support practices and methodologies for researchers to follow the [FAIR principles](https://www.go-fair.org/fair-principles/), not just for publishing research data with rich metadata, but for ensuring computational methods can also be shared in a fully described and reproducible manner.
+
+The [research](/publications/) by the eScience Lab spans a wide array of topics, including FAIR and Open Research, computational workflows, scholarly communication, reproducible science, linked data, provenance, knowledge representation and
+community building. Lab members are leaders in international standards setting and community groups working on digital
+research infrastructure for science.
+
+The eScience Lab currently has guaranteed funding until 2027.
 
 ## History