SERVICES
Framework
Thanks to its expertise and cross-company experience, Data2time can assist you in defining different aspects of the data frameworks, from technical to strategic viewpoints:
- Data governance and data protection framework (e.g., General Data Protection Regulation [GDPR] compliance)
- Quality Management Systems
- Data computing infrastructures
Data analysis
Data2time performs data-driven exploratory analyses with a strong focus on biomarker data thanks to the following assets:
- Biotechnological expertise to manage and quality-control input data
- Statistical expertise to design and apply data analysis approaches
- Programming expertise to implement data visualization and analyses
- Biological & clinical expertise to interpret and assess the relevance of results
Usual data analysis case studies are:
- Analysis of biomarker/exploratory endpoints of clinical trials, covering various types of biomarkers (e.g., genetic variants, gene or protein expressions, cell counts, microbiome), therapeutic areas (e.g., oncology, immunology, neurology, endocrinology, fertility), and clinical phases
- Analysis of preclinical omics studies, including various types of omics data (e.g., transcriptomics, proteomics, metabolomics, microbiome) and experimental models (e.g., cell lines, mouse, rat, dog, fish)
Ressources
In addition to data analyses, Data2time can also share its expertise in the following areas:
- Development of data analysis and/or reporting pipelines
- Design and development of life science databases
- Critical reviews of publications, clinical documents (protocols, Statistical Analysis Plans [SAP], Clinical Study Reports [CSR]), or data packages
- Courses and tutorials