2. What is the ReproducibiliTea
journal club?
• ReproducibiliTea is an early career
researcher led journal (and tea-
drinking) club.
• Its goal is to facilitate and deepen
the conversation about open
research across all fields of study
represented at Leeds, from Data
Science to Humanities.
• ReproducibiliTea is an international
journal club, and is sponsored by
the UK Reproducibility Network
(UKRN).
3. What is Open Research?
‘Open Science’ is an
international movement
that promotes making all
aspects of the research
cycle accessible.
However, we feel ‘Open
Research’ is a much more
inclusive term as the
principles of OS can be used
in many, if not all,
disciplines.
4. What is open
research?
• Open research could include publicly
sharing of results, software and code,
methodology, protocols and
documentation, as well as
publications and data.
• In the arts and humanities, open
research could involve sharing digital
humanities methods and tools,
reflections on your research practice,
notes, audio-visual materials and
annotated bibliographies.
From
https://library.leeds.ac.uk/info/1406/researcher_support/199/open_research
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Open research does not mean one
set of specific rules.
It’s instead a collection of several
good and open research practices,
that apply variously to different
research contexts.
Step 1
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Requires good data management
For example:
• Saving raw data and cleaned data separately.
• All steps of data processing should be recorded,
either by coding analyses in open-source
programs like R or Python or by “pasting” SPSS
analytical steps into a reproducible syntax file.
Step 4
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There is a replication crisis in research
where many psychological, and other
disciplinary (e.g., medical), studies cannot
be replicated.
Replication is fundamental to scientific
endeavor.
Step 6
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• Researchers can contribute by conducting
replication studies themselves, and/or;
• Facilitating replication of their own work
through open and reproducible materials,
data, and code.
Step 6
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Contents
SEVEN EASY STEPS
01 Understanding open research
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02 Open access
03 Open data, materials & code 04 Reproducible analyses
05 Preregistration 06 Replication
07 Teaching open research
40. Thank you for listening!
Any questions?
• Potential discussion topics:
• Have you used any of these practices
before?
• Which are you most interested in
implementing now?