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Love Data @ Soton: Southampton ReproducibiliTea

Southampton ReproducibiliTea

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Join the Southampton ReproducibiliTea team for our fortnightly online journal reading and seminar club!

The sessions are open to anybody interested in robust research practice, reproducibility, replication, open science, and transparency. In each session, we will discuss a paper relating to one of these themes.

We will also have guest speakers running seminars about reproducibility and open science practice.

You can join our Microsoft Teams group by emailing one of the team members whose contact details are at the bottom of the page. This is the best way to be part of the Southampton ReproducibiliTea community (or communiTea, if you please!) and stay up to date with when our sessions are running. 

Please look at the timetable on the next page to find out more about our upcoming sessions. We currently host our meetings online.

To join our online meetings, please email one of the organisers for details: 

Please note: the Southampton UKRN team is not a Library initiative, it has members drawn from all areas of the University and the Research Data team in the Library supports its endeavours (and not just because we like tea and cake!).

Date

Session leads

Theme

Paper

Thursday 7th October

10am - 11am
Pip Grylls Computational reproducibility

Epistemic Issues in Computational Reproducibility: Software as the Elephant in the Room

Tuesday 19th October
10am – 12pm
Sophie Hall and Christian Bokhove Joint Southampton ReproducibiliTea and UKRN meeting

The first hour of this session we discuss the following paper: Barriers to reproducibility: misalignment of career incentives and open science best practices

The second part of the session will be a UKRN meeting chaired by Christian. All welcome.

Wednesday 3rd November
10am – 11am
Philly Broadbent Teaching research transparency Teaching research transparency in psychological science
Tuesday 16th November
10am – 11am
Sophie Hall and David Galbraith Reproducibility and transparency in writing research Seminar session
Wednesday 2nd December
10am – 11am
Lucy-Anne Taylor and Philly Broadbent Open science in archaeology Open science in archaeology
TBC Hayward Godwin R Markdown session Seminar session

What is ReproducabiliTea?

ReproducabiliTea is an international ECR-led journal club initiative that helps young researchers create local Open Science groups that discuss issues, papers and ideas to do with improving science. For more information see the ReproducabiliTea Wiki pages.

ReproducibiliTea has now joined up with UK Reproducibility Network. You can follow them on Twitter for updates @ReproducibiliT or @ukrepro

 

Useful courses for better scientific practice

These courses have been discussed in the Southampton ReproducabiliTEA sessions:

Previous ReproducabiliTea sessions

ReproducabiliTea has been running at Southampton since autumn 2019. Below is the list of previous seminar topics.

16/09/2019 A Manifesto for reproducible science
Reading: https://doi.org/10.1038/s41562-016-0021
01/10/2019 False Positive Psychology
Reading: https://doi.org/10.1177/0956797611417632
01/11/2019 Measuring the Prevalence of Questionable Research Practices with Incentives for Truth Telling
Reading: https://doi.org/10.1177/0956797611430953
11/11/2019 Estimating the Reproducibility of Psychological Science
Reading: https://doi.org/10.1126/science.aac4716
12/12/2019 Is the Replicability Crisis Overblown? Three Arguments Examined
Reading: https://doi.org/10.1177/1745691612463401
13/10/2020 The strengths and costs of being a reproducible researcher
Reading: https://www.youtube.com/watch?v=VcgO2v3JjCU
https://doi.org/10.1016/j.neuron.2018.11.030
28/10/2020 Does your ten-year-old code still run?
Reading: https://www.nature.com/articles/d41586-020-02462-7
12/11/2020 Reproducibility practices in industry research & development and collaborative projects
24/11/2020 A constructivist perspective on replication in qualitative research
Reading: https://osf.io/6efvp/
09/12/2020 Structuring your statistical code
15/12/2020 12 things I wish I knew before Christmas (about reproducibility)
02/02/2021

Reproducibility in the natural environment: looking at the reproducibility issues in ecological research
Reading: O’Grady (2020) - https://doi.org/10.1126/science.abg0894

17/02/2021 An integrative framework for planning and conducting Non-Interventional, Reproducible, and Open Systematic Reviews (NIRO-SR)
Reading: Topor, Pickering et al. (2020) https://osf.io/preprints/metaarxiv/8gu5z
04/03/2021 Seven Steps Toward Transparency and Replicability in Psychological Research
Reading: Lindsay (2020) - https://onlineacademiccommunity.uvic.ca/lindsaylab/wp-content/uploads/sites/4861/2020/06/Lindsay-RE-Steps-toward-Transparency-1-April-2020-1.pdf
16/03/2021 Transparency and reproducibility in artificial intelligence research
Reading: Haibe-Kains et al. (2020) -  https://arxiv.org/ftp/arxiv/papers/2003/2003.00898.pdf / https://www.nature.com/articles/s41586-020-2767-x
31/03/2021 Biological variation and reproducibility in lab-based animal experiments.
Reading: Voelkl and Würbel (2020) - Biological variation and reproducibility (YouTube) and Voelkl et al. (2020) - https://www.nature.com/articles/s41583-020-0313-3

27/04/2021

How scientists fool themselves and how they can stop. A Psychological perspective on reproducibility.

Reading: Nuzzo (2015) - https://www.nature.com/news/how-scientists-fool-themselves-and-how-they-can-stop-1.18517

11/05/2021

UKRN joint session: Reproducibility for ECRs.

Reading: llen and Mehler (2019) - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513108/

26/05/2021

Checking the reproducibility of your code: CODECHECK

Reading: Nüst and Eglen (2021) -  https://f1000research.com/articles/10-253

01/06/2021

A discussion with journal editors.

17/06/2021

Turning the tables: A university league-table based on quality not quantity.

Reading: Barnett and Moher (2019) - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611132/

30/06/2021

Enhancing reproducibility for computational methods

Reading: Stodden et al. (2016) - https://science.sciencemag.org/content/354/6317/1240.long