The eTRIKS/ELIXIR-LU - IMI Data Catalogue
The eTRIKS/ELIXIR-LU—IMI Data Catalogue is unique in its kind because there is no such repository elsewhere that centralizes ongoing and past IMI project level metadata. It is part of the service that eTRIKS provides in its key knowledge management performance to bring power to the FAIR data concept starting with a focus on the findability of research study descriptions.
Translational research scientists want to know what project study descriptions are available for disease areas and access the existing knowledge landscape. eTRIKS/ELIXIR-LU Data Catalogue is a metadata repository linking the massive data available in a global system that can be optimally leveraged to improve biomedical research. This will create value for public and private organisations/ translational researchers and drive research collaboration formation towards convergence and precision medicine. This is a collaborative project between eTRIKS and ELIXIR-Luxemburg Node.
New Standards Starter Pack v1.1 released
Updated with new guidance on: - FDA guidelines for devices and instruments - Using LOINC and UCUM in regulatory submissions - Pharmacogenetics standards from CDISC
Concepts in Information and Knowledge Management for Translational Research
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Case Studies
- Client
- U-BIOPRED
- Date
- September 4, 2015
- Website
- View website
Comparing clinical data across multiple disease areas The Challenge Biopharmaceuticals provide a valuable new approach to disease management. But a significant limitation in their use is the development of anti-drug antibodies (ADA) in some patients. The development of ADA is seen to some extent across all diseases and with all treatments, but the individual data sets for any single disease and treatment have usually been small. ABIRISK seeks to bring these data sets together to understand the common underlying causes of ADA. To do this, disparate data sets from multiple disease areas and many different institutions need to be analysed […]- Client
- U-BIOPRED
- Date
- September 3, 2015
- Website
- View website
Analysis pipelines for very rich data sets The Challenge OncoTrack is looking at deep data sets for cancer patients to discover new markers for Colon Cancer. The goal of OncoTrack is to identify and characterize biomarkers that will help our understanding of the variable make-up of tumours and how this affects the way patients respond to treatment. This can be used to guide appropriate therapy choices for each individual patient. The data sets created are extremely rich containing clinical data, animal xenograft data and a wide range of genomic information including GWAS and NGS. Already hundreds of terabytes of data […]- Client
- U-BIOPRED
- Date
- September 1, 2015
- Website
- View website
Unbiased comparison of data sets The Challenge Severe Asthma is often difficult to manage and many patients are unresponsive to treatment. Furthermore, it is thought that there are many different phenotypes of asthma that are not properly understood. U-BIOPRED aims to create ‘handprints’ that identify sub-phenotypes of asthma. The handprints can then be used to better understand the disease and lead to better targeted treatments for the individual. U-BIOPRED handprints include a wealth of diverse data on each patient and the researchers need to compare and combine them in an unbiased environment. This will permit identification of a wide range […]
Blog
March 7, 2017
Like gold, the form that data takes directly affects the ease in which you can extract, export and form it into something more valuable. The more data you have the greater the potential value, and everywhere the eye can see data prospectors are feverously extracting volumes of data from patients. We are living through a data rush, and when you stand still and watch the rush an incontrovertible truth emerges; transforming gold nuggets into bars is easy; semantically integrating different forms of health data to create true wealth of knowledge is not. This is translational research There are many clinical […]
October 18, 2016
When Darwins theories of evolution were substantiated by Mendel and Correns society found itself having to rapidly adapt to bioethical questions posed by these advances. Should we be tampering with nature? Can we choose the type of community we have? Earthquake moments kept coming; the discovery of chromosomes, genetic modification and recent advances in information technology, data storage and analysis. We are forced to ask questions on data privacy, security and sharing against a background of ever expanding data availability. Informatics and analytical technologies allow us to explore the link between our genes and disease on an industrial scale. Vast […]