Responsible science promotes a reliable and commonly accepted way of producing, publishing and evaluating researched information. It supports the openness, presence and utilization of science in society.
Responsible science is a fairly new concept: it brings together the themes of research ethics, science communication, openness and research evaluation, and how these different themes work side by side towards the same goal. In short, the themes of responsible science form the framework for good science.
In the context of open science, responsible research refers to conducting scientific research in a way that is ethical, transparent, inclusive, and socially accountable. It emphasizes the need for researchers to engage with the broader public, ensure accessibility of research outcomes, and consider the societal implications of their work. Open science seeks to democratize scientific knowledge, and responsible research within this context ensures that these open practices are both ethically sound and beneficial to society. The key principles of responsible research within the context of open science can be summarized as follows:
Transparency
Open science promotes full transparency, making all phases of research - data, methods, results, and publications - available and reproducible. Responsible research ensures that this openness respects privacy, intellectual property, and data security.
Ethical Standards
Researchers must follow ethical guidelines, especially when handling sensitive data, working with human subjects, or in fields where research outcomes could have ethical or moral implications (e.g., genetics, AI). Open science aligns with these standards by encouraging ethical publication and data sharing.
Inclusivity
Responsible research encourages the involvement of various stakeholders, including underrepresented groups, and ensures that diverse perspectives are considered in scientific practices and outcomes. Open science platforms should be accessible to the global community, bridging inequalities.
Social Accountability
Open science promotes research that is relevant to societal needs and addresses global challenges like climate change, health disparities, and social justice. Responsible research ensures that scientists engage with societal stakeholders and consider the potential social impact of their work.
Reproducibility and Integrity
A major tenet of open science is the ability to reproduce research. Responsible research upholds integrity by ensuring that data and methods are fully transparent, validated, and available for scrutiny, which helps reduce instances of scientific misconduct.
Data Sharing with Responsibility
While open science advocates for sharing data, responsible research acknowledges the need for balance. Sensitive data (e.g., personal health information) should be anonymized or protected to ensure ethical standards are not compromised.
Education and Collaboration
Open science encourages the free exchange of knowledge across disciplines and borders. Responsible research promotes collaborative and interdisciplinary approaches, while also ensuring proper attribution of work and fostering public education.
Ethical sustainability is the starting point for all scientific activity, regardless of the field. Research that follows good scientific practices is ethically sound and reliable, and its results are credible. The responsible conduct of research is also an important part of managing the quality of the university's scientific research.
In Finland, the Finnish National Board on Research Integrity (TENK) handles ethical issues related to scientific research and promotes research integrity. For research to be ethically acceptable and reliable, and for its results to be credible, the research must be conducted according to the Finnish Code of Conduct for Research Integrity. In line with the European Code of Conduct for Research Integrity, the basic principles of research integrity in the Finnish Code of Conduct are reliability, honesty, respect and accountability.
For more information on research ethics in Finland and in LUT University, please see the following links. Ethical issues and GDPR in relation to open data are also discussed later in this course.