Length of study
125 hours
Type of Programme
Microcertificate programmes
Form
Combined
Language
Czech
Fee
12600 CZK
Application deadline
10/1/2025
Annotation
The professionalisation of data management is now a priority, as both science and industry are undergoing a digital transformation in which data management, data quality and data literacy of employees are crucial for all organisations. The course focuses on the extension of competences in data management and data science in line with the proposed European competency frameworks for this area (e.g. FAIR Competence Framework for Higher Education, EDISON Data Science Framework). Participants will learn the basics of working with data, data management, i.e. storage, long-term preservation and sharing of data, including legal and ethical aspects and specifics of data management in different areas, basics of project management and research methods.
Location
FF UK/NTK
Results of learning
Knowledge - student can Describe the typical responsibilities of a data steward. List the key legislative documents related to handling personal data in the Czech Republic and the EU. Enumerate best practices for creating Data Management Plans (DMPs). Explain the concept and function of persistent identifiers. Explain whether research data is considered intellectual property. Skills - student can Justify the importance of creating data documentation and Data Management Plans (DMPs) within their field. Identify key stakeholders involved in handling research data within a chosen institution. Create a basic DMP using any available tool. Evaluate the completeness and alignment with best practices of a DMP created by another course participant. Recommend suitable storage solutions for a given dataset. Propose licensing and storage duration based on industry standards. Competencies - student can Advocate for the establishment of a data steward role within a selected institution. Analyze various types of research data and suggest management strategies. Develop a comprehensive Data Management Plan (DMP) to meet the requirements of a selected research grant, including financial considerations.