3 Ways of Working
12 sub-clusters · 133 referencesAttainment of an understanding of how research is conducted, managed and disseminated. There are 12 sub-clusters which aim to further parse the learning and teaching process[s]:
This section includes key introductory and methodological texts on designing and conducting qualitative research. These sources provide guidance on research planning, data collection, analysis techniques, and theoretical foundations relevant for beginners and experienced researchers alike.
Adversarial collaborations typically include two (or more) groups of researchers addressing the same research question with conflicting hypotheses - e.g., one group expects an effect to exist, while another does not.
In big team science (sometimes referred to as “team science”), many researchers pool their resources to solve a problem or answer a research question together, usually resulting in one or several outputs that all researchers involved gain authorship on. Big team science projects can either be coordinated by an organisation (e.g. ManyBabies), or can be run independently by a group of researchers.
Community science, sometimes called “citizen science”, is scientific research conducted, in whole or in part, by amateur (or non-professional) scientists. Community science is sometimes described as "public participation in scientific research," participatory monitoring, and participatory action research whose outcomes are often advancements in scientific research by improving the scientific community's capacity, as well as increasing the public's understanding of science.
Examines the climate and environmental footprint of research workflows and infrastructures.
Participatory research, sometimes also referred to as co-production, is an umbrella term for methods in which views and engagement of interested parties from relevant communities (academic or otherwise) are included throughout the research process, from conception to dissemination.
Academia is but one avenue for knowledge production. In fact, research happens in a variety of contexts. Open science practitioners who conduct research with public and private partners need to be aware of the challenges and opportunities that arise when working within these spaces.
Examines how the social positions, values, and relationships shape research questions, design, data collection, analysis, and reporting.
Examines structured ways to involve undergraduates and postgraduates in research, course-based projects, lab apprenticeships, and multi-site replications/consortia. Covers pedagogy, supervision and authorship practices, training in open and reproducible methods, and evaluation of learning, equity, and research quality.
We should not do science so it stays among scientists, we should do science so it reaches and impacts the general population, as well as funding agencies, community members, interested parties, and policy makers. Effective science communication builds trust in science and counteracts misinformation.
The scientific process is characterized by its methodical, deliberate nature, aimed at the comprehensive understanding of phenomena rather than the immediate resolution of societal issues. This approach, prioritizing the pursuit of knowledge over the fulfillment of performance targets, facilitates the development of trust between researchers and various stakeholders, including the academic community and the general public. It emphasizes the importance of inclusivity, ensuring that research outcomes are beneficial across diverse groups, particularly those that have been historically marginalized. The emphasis is placed on thoroughness and precision within the research process, rather than the rapidity of outcomes.
There are many interesting career options beyond academia for those who are currently in the academic system. These can be research based (e.g. research for non-profit and for-profit organisations), teaching based (e.g. in schools, applied higher-education, and universities), science communication roles, data related roles (e.g. data steward, FAIR advocates, data scientist), and beyond!