The SEED (Semantic Enrichment of ELN Data) Project is pleased to announce its official “start-up” January 2020.

Following the recent presentation at the Pistoia Alliance conference in Boston by Steve Penn ( Pfizer), there is a high level of interest in the project and this has been confirmed by offers of funding that enable the project to get started.

Some of the problems that this project aims to solve are:

  • Volumes of unstructured eLN content are exponentially growing with the potential to extract knowledge
  • Most eLN content is free text, unstructured information and thus challenging to identify common concepts (Named Entity Recognition NER), to effectively search and for extraction of deeper Insights
  • Retrospective data analysis and searching of generally unstructured content is a huge challenge
  • Data Workflows to/from eLNs can be relatively restricted in approach.
  • Connectivity to Study Registration systems to enable Scientists to reuse such metadata through API to eLN are a must
  • Availability of persistent identifiers challenges the capability of making data to be digitally discoverable and hinders aggregation of data inter-applications

 

In January, a Project Team will be formed and the first activity will be to agree a Project Charter, outlining the scope, timing and deliverables of the project. It is likely that we will hold a face to face workshop in the Spring where the project team can focus their time on the deliverables.

 

Outputs of the proposed project will be 2 fold; guidance on specifics of connecting a semantic enriched eLN to the FAIR principles as well as open standards built to enable Semantic tools to seamlessly connect to all eLNs”

 

Contact us if you would like to join the SEED project or if you have questions…

Email Gabrielle Whittick or Steven Penn

4 comments on “SEED Project Gets Started

  1. Daniel DOMINE on

    Hello
    I would interested to join the group. I would be interested to know more about the setup of that project.

    I have implemented several ELNs in my past life and I am still involved in the support of such activities as part of the consulting company Wega. We managed at the time to connect our tools to registration systems with links back to experiments and raw data with more or less complex integrations. With one of my former colleague, we did some quick PoCs applying text mining with already some interesting results such as gene-disease associations never formerly studied as project within the organization.
    Looking forward to learn more about how the SEED project will be setup
    Cheers
    Daniel

    Reply
  2. Arindam Ghosh on

    I am going to implement a new ELN for the R&D facility. Can we have more information on SEED project and recommendations to be kept in mind for a new ELN roll out in terms of taxonomy and ontology.

    Reply
    • David Proudlock on

      Hi Arindam, thanks for getting in touch, I have passed on your details to the project team, we will soon have a project page on our website.

      Reply

Leave a Reply

Your email address will not be published. Required fields are marked *