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Awareness in Data Management and Analysis for Industry and Research

Awareness 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 shared datasets, knowing how to organise, document, and manage your data properly is an essential skill. It also supports collaboration, clarifies data ownership, and helps meet legal, ethical, and funding requirements.

The Awareness in Data Management and Analysis for Industry and Research workshop introduces practical approaches to managing research data effectively. Based on training materials from FAIRsFAIR, ZB MED - Information Centre for Life Sciences, The Carpentries, and CodeRefinery, the course explores good research practices, data management plans, and the FAIR Data Principles. 

Students will also learn practical strategies for organising data, using electronic lab notebooks, and making computational analyses more reproducible - so that your research remains transparent, reusable, and well-documented.

Learning outcomes

  • Understand good data management practices in research and industry, including governance, policies, and organisational roles
  • Plan and organise data using Data Management Plans (DMPs) and electronic lab notebooks (ELNs)
  • Apply FAIR principles to make data findable, accessible, interoperable, and reusable
  • Ensure reproducibility and transparency in analyses by using practical tools and workflows

Target audience

  • Interested in learning about data management
  • Interested in learning how to manage data in a good practice in both academia and industry
  • Anyone interested in learning about how to make your data reusable and analysis reproducible

Requirements

  • A PC/Laptop with an up-to-date browser Chrome, Safari, or Firefox browsers are all supported (some older browsers, including Internet Explorer version 9, may not be)
  • Ideally a two-screen setup so you can follow the workshop while practicing on your own

Training Offer Details

Digital technology / specialisation
Training opportunities
Learning Effort
Part time light
Self-paced
Yes
Duration Time
16 Hours
Digital skill level
Geographic scope - Country
Austria
Belgium
Bulgaria
Cyprus
Target language
English
Is this course free
Yes
Prerequisites
No
Upcoming course
No