Past trainings 2021

Data management and ethics for thesis supervisors and researchers (in Finnish)
Managing research data in an ethical and responsible way is part of a good scientific practice and essential to consider in theses. It is also important to be able to identify and avoid ethical misconduct. The training session highlights the key ethical issues in research data management following the research data lifecycle. In addition, the session addresses the guidelines of research integrity and good scientific practice.

How to make research data FAIR?
Many research funders emphasise that research data should be managed and made available following the FAIR principles. What does that mean and what can I do? How do I manage my research data according to FAIR principles?

In this training we examine the FAIR principles and explore ways in which it is possible to make the research data Findable, Accessible, Interoperable and Reusable. Good data management practices and consideration of FAIR principles are part of good scientific practice and responsible research. Come and learn how you can take FAIR principles into account when managing your research data.

  • Time: 28.10. at 9.00-10.30 am, place: Zoom, language: English
  • Time: 27.10. klo 9.00-10.30 am, place: Zoom, language: Finnish

Data management and data protection for thesis supervisors
Where do I store my data during the research? How about, if I want to open 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.

Open Science in Horizon Europe

Do you need tips for creating your publication plan or describing the key data management issues in your Horizon Europe’s funding application? The library organizes two webinars with the same content where you will hear about Horizon Europe’s Open Access policy and what elements are included in the data management plan.

How to evaluate the DMP? Training for thesis supervisors and researchers
How can I evaluate a data management plan (DMP)? The training focuses on the most important content of the data management plan and what issues should be taken into account when writing or evaluating the data management plan. Writing a data management plan is part of good scientific practice.

Data management in a cooperation project, 19 April 2021 and 8 June 2021

Working on a cooperation project requires agreeing on common rules. The training deals with the roles and responsibilities related to the data management, especially in projects involving actors outside the higher education community.

Target group: All researchers and other interested parties, but especially project leaders and others working in cooperation projects. People outside the higher education community working in the projects are also welcome at the event.

How do I write a data management plan?

Managing your data during and after your research project is essential. In this workshop you will learn how to write a Data Management Plan (DMP) according to the requirements of Academy of Finland and national data management planning guidance. 

Topics covered:

  • What kind of data will you be collecting? 
  • Ethical and legal issues related to your data management. 
  • How will others be able to understand the data? 
  • Where will you store your data? 
  • How will the data be made openly available? 
  • Data management roles and responsibilities.

Target group: All researchers from Tampere higher education community wishing to write a data management plan.

Data management and ethics for thesis supervisors and researchers, 12 May 2021

How are ethics and research data management connected? How to follow good scientific practice and ethical principles in research? How to recognise misconduct and fraud in science and how are these handled in the scientific community?

Managing research data in an ethical and responsible way is part of a good scientific practice and essential to consider in theses. It is also important to be able to identify and avoid ethical misconduct. The training session highlights the key ethical issues in research data management following the research data lifecycle. In addition, the session addresses the guidelines of good scientific practice and misconduct in science.

Teachers: Senior Specialist Katja Fält and University Lecturer (research ethics and philosophy) Kristina Rolin

May 12th 10.00-12.00 am (in English)

Data management and ethics for thesis supervisors and researchers, 25 March 2021

Please find the training materials from the Finnish web site.

Data management for thesis surpervisors

January 21st 9.00-10.30 am (in Finnish).

February 4th 9.00-10.30 am (in English).