WEBVTT

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In Part 2 of this course,
we discuss what you need to think about

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before collecting qualitative data if you
intend to archive these data in an open

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repository.

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Qualitative data often contains personal
information, which sometimes is sensitive.

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There are different types of personal
information.

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It can be general, like a name,
address or phone number,

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or sensitive personal information such as
health data or sexual orientation.

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Confidential information such as business
strategy data or financial data will not

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be covered in our course,
but confidential information should also

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be removed from datasets and not be made
openly available.

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There are several guidelines for research
ethics from the National Research Ethics

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Committees in Norway.

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They come from different disciplines such
as medical and health research,

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science and technology,
and the social sciences and humanities.

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There are also general guidelines that
apply to all disciplines.

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These quotes are from the Guidelines for
research ethics in the Social Sciences

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and Humanities,

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(NESH),
which apply to both qualitative and

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quantitative data.

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One of the guidelines regards consent to
participate in research.

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As a main rule,
researchers should obtain ethical consent

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from everyone who participates in
research.

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Researchers must ensure that all
participants are well informed and

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understand what the research entails so
that they can make a free and informed

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choice about whether or not to
participate.

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This is normally obtained with a consent
form whose language,

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form and content are adapted to the
recipients.

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It's wise to think about data sharing and
obtain consent before you start

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collecting data.

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Our university provides templates for
consent forms.

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It's important that you get consent
beforehand,

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not only to participate in the research
but also to publish the data afterwards.

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In my own PhD research,
I forgot to obtain the consent of my

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interviewees to publish the data
afterwards,

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and therefore I had to track them down
later and ask for their consent,

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which was quite a hassle.

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Dataverse NO is our university's
institutional repository for research

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data.

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Datasets published here cannot contain
personal or confidential information,

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and the research participants should have
consented to open publishing of the

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anonymized data.

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If you don't have their formal consent,
it may still be possible in some cases to

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share your data,
depending on the data's possible impact

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or consequences.

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Talk to the data curators or your
research advisors if you have any

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questions about this.

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In Part 3 of this course in Qualitative
Research Data,

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we will discuss how to prepare and share
your data.