Data management and data protection for master thesis supervisors
Tuesday 17.01.2023, 9.15-10.45 (in English) Session slides
Monday 20.2.2023, 9.15-10.45 (in Finnish) Session slides
Where to store data during the research? How about, if the student wants to open data to be used by other researchers? What should be taken into account when describing and documenting my data? How to take care of data protection and data security issues? In Data management and data protection for master thesis supervisors training you will learn the basic issues of research data management and data protection for master thesis .
Training is targeted at master thesis supervisors. Trainers work as a data specialists at Tampere University data services.
Training is an online training session. Training will not be recorded.
Research data management and ethics
Wednesday 25.1.2023, 9.15-10.45, (in English) Session slides
Thursday 4.5.2023, 9.15-10.45 (in Finnish) Register here
Managing research data in a responsible way and protecting the research participants is part of a good scientific practice. Recognising the main ethical principles in collecting, processing and sharing research data are essential in responsible research. The training session highlights the key ethical issues in research data management following the research data life-cycle. In addition, the session addresses the guidelines of data protection.
Training is targeted at researchers and everyone interested in research data ethics and data protection. Trainers work as a data specialists at Tampere University data services
Training is an online training session. Training will not be recorded.
Data management in a nutshell
Tuesday 14.2.2023, 9.15-10.45 (in Finnish) Session slides
Monday 6.3.2023, 9.15-10.45 (in English) Session slides
Where do I store my data during the research? How about, if I want to share my data to be used by other researchers? What should I take into account when describing and documenting my data? How do I take care of data protection and data security issues? Research Data Services provide online training sessions, where you will learn the basics of research data management and data protection.
Training is targeted at researchers, students and everyone interested in data management. Trainers work as a data specialists at Tampere University data services.
Training is an online training session. Training will not be recorded.
Data sharing and visibility
Thursday 16.2.2023, klo 9.00-10.00 (in English) Session slides
Tuesday 18.4.2023, klo 9.00-10.00 (in Finnish) Register here
Sharing research outputs – publication and data – is a core value of open science. Sharing research outputs benefit researchers, research community and society. It increases citations, accelerates the development of science and catalyses innovations and improves decision making. Open science can also benefit global equality when the research findings can be found and be accessed freely worldwide.
But simply just depositing data in a repository, making research data open, is not enough. What practical measures must be done in order to share data in a controlled manner so that it gains as much visibility as possible and enables data reusability?
Training is targeted at researchers and everyone interested in data sharing and visibility. Trainers work as a data specialists at Tampere University data services.
Training is an online training session. Training will not be recorded.
Anonymisation of research data –training
Tuesday 21.2.2023, 9.00-10.30 (in English) CANCELED
Wednesday 19.4.2023, 9.00-10.30 (in Finnish) Register here (by 14th of April)
Processing personal data constitutes the risk of confidential information relating research participants being revealed to outsiders. Therefore, personal data processing must be planned thoroughly and executed carefully. Anonymisation is one way of making the data available for sharing and reuse.
Anomisation of research data -training focuses on anonymising research data in a pragmatic manner. It deals with the anonymisation of both quantitative and qualitative textual material.
Participation does not require prior preparation, but it is worth getting acquainted with anonymisation by reading from the Data Management Guidelines, section Identification and Anonymisation.
The training includes group work on both types of material. All participants participate in both group works. The following data examples are discussed in the groups:
Qualitative data example: https://www.fsd.tuni.fi/files/qualitative-data-example.docx
Quantitative data example: https://www.fsd.tuni.fi/files/quantitative-data-example.docx
Trainers: Henna Juusola and Arja Kuula-Luumi from Finnish Social Science Data Archive
Registration: by Friday February 17th, 2023 at 9 am (link above). Training session will be held present and there is a limit of 30 people in this training. Therefore, 30 first to register will be participating in the training.
Location: Tampere University, lecture room Linna 4013
Seminar on data citations
Wednesday 8.3.2023, 12.00-15.00 (in Finnish)
More information available in Finnish.
Handling personal data
Tuesday 28.3.2023 , 9.00-10.00 (in Finnish) Register here
Thursday 27.4.2023, 9.00-10.00 (in English) Register here
When you process personal data or identifiable data, compliance with data protection regulation is essential. In research projects, this means informing research subjects with the privacy notice, documenting processing operations and assessing the risks related to the processing of personal data. The aim of the training is to learn to identify data protection issues relevant to your research.
Training is targeted at researchers, students and everyone interested in data protection. Trainers work as a data specialists at Tampere University data services.
Training is an online training session. Training will not be recorded.
How do I write a data management plan for a Academy of Finland project?
Wednesday 17.5.2023, 9.15-10.45 (in English) Register here
Wednesday 7.6.2023, 9.15-10.45 (in English) Register here
Managing your data during and after your research project is essential. What should you consider managing your research data and what should you write in your data management plan. In this workshop you will learn how to write a Data Management Plan (DMP) according to the requirements of Academy of Finland and Tampere University data management planning guidance.
Target audience: Researchers who have applied for Academy of Finland’s funding, doctoral researchers and everyone interested in data management planning.
Who can participate in the workshop?
Researchers, teachers, PhD candidates, master’s students and anyone interested in research data management are warmly welcome.
Who is delivering these workshops?
Workshops are organised by Data management specialists working at library. In most workshops we also have visiting experts from other university units, such as Data protection, IT and FSD (Finnish Social Science Data Archive).
What we don’t do:
We don’t go into details in data management, analysis or research methods. We don’t teach Python, R, or any research analytical tools.
Where can I get presentations and slides?
Slides are updated to this website after each workshop.