WEBVTT

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Welcome to our course on sharing
qualitative research data.

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This course has been developed by senior
academic librarians Mahmood Khosrowjerdi,

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Inger Beate Nylund, and myself,
Ellen Nierenberg.

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Researchers often contact the library
with questions about archiving

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qualitative data in open research data
repositories.

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Since this information can be hard to
find and is sometimes complex,

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we have developed a short course to help.

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The course is divided into 3 parts,
each with section titles to help with

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navigation.

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To illustrate the value and the
challenges of archiving qualitative

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research data,
we've created a fictional researcher

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named Solveig.

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Solveig is an associate professor who
conducts qualitative research in the

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social sciences.

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She hopes that by publishing her research
data,

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others will be able to explore new
aspects of her research.

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Solveig plans to interview high school
students about their use of artificial

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intelligence and to make these interviews
openly available to other researchers.

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However,
she's uncertain about how to anonymize

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the interviews sufficiently before
sharing them in our open data repository,

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and whether other researchers will have
use for the transcriptions,

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since qualitative data is very context
dependent.

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So how can the university help Solveig?

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Well,
the University library can recommend

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resources that describe the anonymization
of qualitative data,

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and for useful information about
confidentiality,

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she can consult the university's web
pages about confidentiality and privacy

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in research,
including a template for a consent form

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for research participants.

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The Norwegian Ministry of Education and
Research has published guidelines about

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data from publicly funded research that
apply to typical quantitative and

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qualitative data at Norwegian
universities, university colleges,

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and other research institutions.

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For publicly funded research in Norway,
a basic principle is that research data

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must be as open as possible and as closed
as necessary.

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Research data for scientific articles
should be made available when the article

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is published, if possible.

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So when no legitimate considerations
prevent it,

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research data should be made openly
accessible.

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However,
researchers may refrain from publishing

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data with personally identifiable or
other confidential information that is

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impossible to remove.

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In this course,
we will provide a definition of

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qualitative research data,
discuss its importance,

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and provide examples.

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We will explore what researchers should
think about before collecting data to

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make it possible to later publish that
data,

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and we will explain how to prepare and
share data in a research data repository.