BioNT Learning Path 3: FAIR Data Management and Stewardship Created byRosemary Sheridan|Updated28 July 2026The Bio Network for Training (BioNT) is an international consortium of nine partners, including six academic institutions and three small and medium enterprises (SMEs), dedicated to advancing digital skills in the biotechnology and biomedical sectors. The aim of the BioNT consortium is to provide a high-quality training program and community for digital skills relevant to the biotechnology industry and biomedical sector.The goals of the project's training model are to:Provide high-quality courses in two coherently designed curricula: for basic digital skills of staff and job seekers in healthcare and biotechnology, and empowering technological leaders and innovators.Positively impact course participants and their communities, supporting digital skills in SMEs and larger businesses in these sectors.Ensure sustainability beyond the project's duration, empowering individuals as well as their business-specific, sector-specific, language-specific, etc. communities. Learning Path 3: FAIR Data Management and StewardshipThis learning path introduces the principles and practices of responsible, FAIR data management for research and industry. It is aimed at data stewards, data managers, and professionals responsible for research outputs. Learners establish a foundation in data-management awareness before progressing to collaborative and FAIR software-development practice.Introductory learning materialsCourse 15 June 2026Awareness in Data Management and Analysis for Industry and Research Good data management is more than simply organising files. It helps keep research transparent, reproducible, and secure while preventing data loss and saving time and resources. Whether you work with experimental data, computational results, or Online Up to 16 HoursBasic See less materialsAdvanced learning materialsCourse 27 July 2026Code & Collaborate: The FAIRytale of Software Development (BioNT) Modern research and data science rarely happen in isolation. Whether you are working on scripts, analysis pipelines, or full software projects: collaboration, version control, and reproducibility are essential for producing reliable and reusable Online Up to 14 HoursIntermediate See less materialsLearning path DetailsWebsite link BioNT consortiumDigital skill levelBasicIntermediateAdvancedDigital technology / specialisationDigital skillsDigital transformationLog in to comment
Course 15 June 2026Awareness in Data Management and Analysis for Industry and Research Good data management is more than simply organising files. It helps keep research transparent, reproducible, and secure while preventing data loss and saving time and resources. Whether you work with experimental data, computational results, or Online Up to 16 HoursBasic
Course 27 July 2026Code & Collaborate: The FAIRytale of Software Development (BioNT) Modern research and data science rarely happen in isolation. Whether you are working on scripts, analysis pipelines, or full software projects: collaboration, version control, and reproducibility are essential for producing reliable and reusable Online Up to 14 HoursIntermediate