Tailored trainings

We organise data management trainings for researchers, teachers, students and all staff members at Tampere higher education community. We are focused on basic level trainings covering topics such as describing your data, data protection, data storage services and data sharing. The content of trainings and workshops can be tailored to meet your needs. We don't go into details in data management, analysis or research methods. We don't teach Python, R, or any research analytical tools.

We have compiled a few examples of example trainings below. Do not hesitate to contact us and ask more!

Data management for master thesis

General description	Library's Research Data support specialists will discuss with you what is data management, why it is important and what kind of solutions and services Tampere University has to offer to support data management. The training also covers the basic principles related to data protection.
Subjects to be covered	What does data management mean in the different stages of the research life cycle? What is data management planning? Rights and permission related to the use and collection of data Use of existing research data The most common solutions and services for the storage and archiving of data during and after research Principles of responsible data processing and key concepts of handling personal data Privacy notice and informing subjects
Format	lecture / instructional session
Duration	1 h
Timing	On demand, recommended time at the beginning of the thesis process, before the data collection (e.g. as part of a seminar meeting). Similar training can also be tailored for thesis supervisors.
Target audience	Students and supervisors. Presentation can be modified according to department / subject.
More information	researchdata@tuni.fi

Data protection in research

General description	Library's Research Data Support specialists will review the basic principles and the key terms of personal data protection. You will also learn about informing subjects, making a privacy notice and risk assessment, as well as impact assessment.
Subjects to be covered	Principles of responsible personal data processing, key concepts and applicability in your own research Defining the data controller and the lawful basis for processing personal data Informing data subjects about the processing of personal data Privacy notice and risk assessment Impact Assessment (DPIA)
Format	Lecture / instructional session. which can also be combined with a workshop focusing on the data protection documentation of an individual research project..
Duration	1 h, with workshop 90 mins
Timing	On demand, recommended time before the data collection
Target audience	Students supervisors and researchers. Presentation can be modified according to department / subject.
More information	researchdata@tuni.fi