MyoData

Head: Maxime Jacoupy

The MyoData platform brings together a multi-disciplinary team with Data expertise at its core. It provides the Institute’s researchers and clinicians with structural support and expertise in data processing, integration and analysis, from study design to data interpretation.

MyoData is active in four key areas: technical data management, data-driven project management, bioinformatics and biostatistics.

Looking further ahead, the platform aims to provide solutions integrating Artificial Intelligence and to offer clinical data management services.

 

Team members

Maxime Jacoupy, PhD, Head of the platform
Nathalie Peillod, MS, Data project manager, Clinical data manager
Maria Kondili, MSc, Bioinformatician
Natalia Pinzon, PhD, Bioinformatician
Frédéric Fer, MS, Biostatistician 

Contact : myodata@institut-myologie.org

 

Expertises

Data management 

Data management and organisation

  • Development of data management strategies
  • Creation and maintenance of structured databases
  • Metadata management to ensure traceability and understanding of data

Data security, quality and compliance

  • Implementation of security policies and procedures to protect data
  • Data quality and integrity control to ensure accuracy
  • Compliance with data protection and confidentiality regulations

Technical support and infrastructure management

  • Administration and maintenance of IT infrastructures and data management systems
  • Technical assistance to researchers and other members of the data team
  • Optimisation of data management processes and tools

 

Bioinformatics

Analysis of OMICS data

  • Analysis of high-throughput data from OMICS technologies such as genomics, transcriptomics, proteomics, epigenomics, etc.
  • Use of software and statistical analysis methods to identify patterns, trends and significant associations
  • Interpretation of results and contribution to biological understanding of the processes studied

Development of bioinformatics tools and resources

  • Development of OMICS data analysis pipelines and workflows to optimise the reproducibility, efficiency and quality of data analysis
  • Creation of databases and bioinformatics resources to facilitate the re-use and sharing of data and results
  • Technology watch and development of innovative tools to meet the specific needs of clinical and fundamental biology research projects

Collaboration and support for researchers

  • Working closely with researchers to understand their bioinformatics needs and propose appropriate solutions
  • Training users in bioinformatics analysis software and methods
  • Technical and scientific assistance to researchers in interpreting results and writing scientific reports
  • Participation in the drafting of scientific articles/publications including computer analyses.

 

Biostatistics

Study design and planning

  • Development of study plans and statistical analysis strategies
  • Support for the formulation of study protocols, with expert advice on sample selection and the definition of analysis parameters
  • Processing and analysis of raw data using advanced statistical techniques

Data analysis and interpretation

  • Implementation of innovative data analysis strategies and development of study plans
  • Carefully deciphering results, detecting emerging trends and identifying significant patterns/li>
  • Support in formatting results for study reports, publications and scientific communications

Communication and collaboration

  • Working closely with researchers and other members of the data team to identify and respond effectively to data analysis needs
  • Regular and transparent communication of results and statistical findings to project partners
  • Setting up a technology watch and regular in-house training in statistics and data analysis
  • Management of potential external partners for data analysis

 

Data project management

Project planning and organisation

  • Setting clear objectives and timetables for data projects
  • Allocation of resources and definition of roles and responsibilities
  • Monitoring progress and adjusting project plans as required

Coordination and communication

  • Close collaboration with researchers, technical teams and external partners
  • Problem-solving and decision-making in collaboration with stakeholders
  • Regular communication on the progress and results of data projects

eCRF design (electronic Case Report Form)

  • Design and development of electronic forms for data collection in clinical trials
  • Ensure that eCRFs comply with regulatory standards and good clinical practice
  • User training and technical support for eCRFs

 

Technical stack

  • Programming languages and development environments: Python; R; Jupyter Lab; MATLAB; Bash
  • Databases and query language: SQL
  • Statistical analysis tools: SAS; SPSS; Prism GraphPad
  • Version management and collaboration: Git
  • Cloud platforms and services: Microsoft Azure; AWS
  • Clinical and research data management tools: CleanWeb; REDCap
  • Workflow and orchestration tools: Nextflow

 

The MyoData Hub project

MyoData Hub is a health data warehouse (HDS) project dedicated to muscle data, which will be built in compliance with CNIL expectations. As well as improving data security and accessibility, the Hub will facilitate research, diagnosis and patient care. This platform will centralise all the health data collected by the Institute of Myology, and thanks to its compatibility with other data sources, will be able to carry out a variety of analyses using advanced tools and the expertise of external collaborators. It will also ensure compliance with data security and quality practices, in compliance with data protection and confidentiality regulations. MyoData Hub will make the management of muscle data more secure, organised and efficient, helping to improve patient care and advance research.