# data[].attributes.headline
Annayah Prosser wins Presitgious Dorothy Bishop Prize

# data[].attributes.subject
Annayah Prosser wins Presitgious Dorothy Bishop Prize

# data[].attributes.body
We congratulate our dear colleague Annayah Prosser for this award which recognises her ground-breaking, leading research into qualitative research, openness and transparency. Annayah -- we give you all the flowers!

# data[].attributes.headline
COP 4 ONOD (Community of Practice for Naturally Occurring Data)

# data[].attributes.subject
COP 4 ONOD (Community of Practice for Naturally Occurring Data)

# data[].attributes.body
The project COP 4 ONOD (Community of Practice for Naturally Occurring Data) brings together research support staff and qualitative researchers who work with naturally occurring data.

Naturally occurring data are considered “high value” due to the costs and time saved in their collection, as well as their potential for (re-)analysis and (re-)use. Simultaneously, the act of “opening up” naturally occurring data presents several challenges – including the well-known clash between data privacy and data openness —which currently restricts their widespread sharing and reuse.

We are currently in the process of making available several resources (such as a template informed consent form and a FAQ relating to the topic of sharing naturally occurring data). So please stay tuned!

For more information, please visit our website: https://www.opennaturallyoccurringdata.com/

Want to stay updated about this project, access data sharing resources, participate in our trainings, or join the community?

Send us an email at open.naturally.occurring.data@gmail.com.

# data[].attributes.body
ReDemOS is a new research project (2025-2029) at the University of Oslo with a particular focus on qualitative research and the unintended consequences of the open science movement.

In ReDemOS, researchers from psychology, linguistics, education, meta-science and criminology are brought together to investigate how the demands of the open science of today affect qualitative research on people in vulnerable life situations and explore different models on how to democratise research.

Feel free to contact Agata Bochynska for more information or if you'd like to follow project updates: agata.bochynska@ub.uio.no

# data[].attributes.attachment_link.readable_text
Our goals

The Open Science movement aims to democratise knowledge production, making data, research processes and results more open and transparent. However, it may also risk being undemocratic in its approaches to knowledge production. With its current guidelines, Open Science is tailored to methods used in specific disciplines, e.g. the Natural Sciences or hypothesis-testing social science.

Though the aims of Open Science are transparency, equity and inclusion, the recommended methodological practices are often difficult to apply to other types of research approaches, e.g. qualitative methods. Open Science may, therefore, unintentionally exclude certain forms of knowledge production, especially within the social sciences. Consequentially, some types of research addressing important societal issues may face hindrances, as Open Science gains ground in research, funding, hiring and publishing. There may be cases where knowledge production paradoxically becomes narrower and less transparent due to Open Science. ReDemOs seeks to address these unintended consequences.

By critically investigating how the aim of democratization in Open Science influences knowledge production, ReDemOs aims to suggest alternative conceptualisations and practices within Open Science.

About the group

ReDemOS comprises scholars from the sociology of law, psychology, and education, as well as meta-research, collaborating with key international scholars within Open Science in qualitative approaches.

Qualitative research environments across various disciplines independently face challenges from Open Science regulations, making it a problem that necessitates interdisciplinary collaboration.

We are brought together by a common concern about how Open Science potentially affects the livelihood of various research traditions that cannot fit into the bureaucratic demands for Open Science practices. In this project, we will investigate how this affects qualitative research on people in vulnerable life situations. We are curious about different models on how to democratise research, transcending the scope of Open Science of today.

# data[].attributes.attachment_link.title
Open Science: Democratizing knowledge production? - UiO:Democracy

# data[].attributes.attachment_link.description
In ReDemOS, we investigate the unintended undemocratic consequences of Open Science and rethink how to democratise knowledge production.

# data[].attributes.body
QualiFAIR hub at University of Oslo was a university-wide project in years 2021-2024. The project focused on how to increase sharing and reuse of qualitative and context-sensitive data, making them more FAIR (Findable, Accessible, Interoperable, Reusable). QualiFAIR is now formally completed but you can find many presentation slides and training materials on the website, with some more to come! More reports and write-ups from the project, with some concrete recommendations on making qualitative data more FAIR, are also coming up.

If you are interested in chatting about the project, feel free to contact Agata Bochynska at agata.bochynska@ub.uio.no

# data[].attributes.attachment_link.readable_text
About

QualiFAIR hub at UiO focuses on how to increase sharing and reuse of qualitative and context-sensitive data, making them more FAIR (Findable, Accessible, Interoperable, Reusable). The hub involves researchers, engineers, librarians and research administrators from a number of disciplines, including anthropology, political science, medicine, linguistics, psychology, music research, theology and education.

The hub is organized as a network consisting of academic and technical-administrative staff from all participating units, and with a particular focus on skills development. Main aim of the hub is to develop good practices, including routines, procedures, and concrete instructions, that will support sharing and reuse of qualitative data, targeted at researchers, master's/PhD candidates and research support staff at all departments and faculties at UiO.

QualiFAIR leader professor Kirsti Klette
kirsti.klette@ils.uio.no

QualiFAIR coordinator Agata Bochynska
agata.bochynska@ub.uio.no

Mailing list

Here you can subscribe to the QualiFAIR mailing list to be kept up to date with the events in the network. We will not share your email with anyone, and you can unsubscribe at any time.

Subscribe to our mailing list

# data[].attributes.attachment_link.title
QualiFAIR - Department of Teacher Education and School Research

# data[].attributes.attachment_link.description
Hub-node for IT in research at the University of Oslo. How to make qualitative and context-sensitive data FAIR (Findable, Accessible, Interoperable, Reusable)?

# data[].attributes.headline
Let's Create an Open Qualitative Research Community

# data[].attributes.subject
Let's Create an Open Qualitative Research Community

# data[].attributes.body
Together with Annayah Prosser, Madeleine Pownall and Tamarinde Haven, we announce this call to co-create an Open Qualitative Research Community oriented to the European research, funding and policy landscape. We envision this community as a way to foster support, collaboration, and epistemically appropriate science reform. Click the link to learn more and sign up to join the initial meetings when the community's mission, values, aims and purpose will be co-defined.

Contact Nicki Lisa Cole for more information: ncole@know-center.at

# data[].attributes.body
Together with some colleagues from Radboud University (and also some external colleagues), we are working on a research project concerning climate crisis interaction. We collect qualitative data from tv-/talk shows, news interviews, podcasts, and other related naturally occurring data in which topics around climate change are discussed (e.g., veganism, air travel, consumerism, governmental policies, etc.). We are currently still working on data collection, but our goal is to write a series of papers using Conversation Analysis to analyze the data. Eventually, we aim to make our database publicly available, so that other researchers can use and/or add cases to it as well.

A timeline is not yet available, but please contact maartje.roodzant@ru.nl if you are interested or if you have any follow-up questions. We would be happy to keep you updated.

# data[].attributes.body
You can use this Padlet to share information about qual OS initiatives you are involved in (or know of).

Please create a new post for each initiative by clicking on the 'plus' button.

Provide at least the following details about each initiative:

What kind of initiative it is (symposium, collaboration, funding application, research project, book proposal etc.)

Describe the focus/scope of the initiative (e.g., qual data sharing in general, community science, etc.)

Indicate what kind of involvement you are looking for and from whom

Provide a rough timeline; mention at least by when people can get involved

Provide contact details where people can (1) sign up + (2) ask follow-up questions