Scientific Research and Ethics

  • 2-2 ECTS credits
  • 920002J
General and transferable skills study of doctoral education (mandatory)
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Education information

Implementation date

The course is held in the autumn semester, during period II (in English), and in the spring semester in period IV (in Finnish). It is recommended to take the course at the beginning of the doctoral studies.

Enrollment period

-

Education type

General and transferable skills studies

Alternativity of education

Mandatory

Location

Linnanmaa

Venue location

Course is composed of online part and lectures.

Enrollment and further information

The course consists of three parts:

A. An online course (max. 5 weeks) covering general ethical topics applicable to all fields of research. This part of the course is shared by all Finnish universities. This part of the course is available in Finnish (only) in the Spring session and in English (only) in the Autumn session;

B. Field-specific lectures (6 h). Students must attend all lectures of at least one of the field-specific topics (1 – 3) listed below. This part of the course is available in English (only) in the Autumn session, and in Finnish (only) in the Spring session.

C. Data management lecture (2 h). This part of the course is available in English (only) in the Autumn session, and in Finnish (only) in the Spring session.

Enrol to the course in Peppi

Education description

After the course the doctoral researcher is familiar with the ethical codes of research, and able to recognize and analyse ethical problems relating to different fields and stages of research.Doctoral researchers know what is data management plan and where data can be stored.

Ethical theory and ethical problem solving. Professional ethics. Ethical problems characteristic to different sciences. Good scientific practice and procedures for handling misconduct and fraud in science. Ethical problems regarding the relation between science community and wider society.

Also the content of data management plan (DMP) is introduced and data management in general. Content includes also the introduction to possible data storages, opening of data and metadata.

Link for the course website,

Last updated: 13.11.2024