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Reproducible Research in the
Humanities
Iain Emsley
Getting Started
Practical
Irreproducibility
Case study: Joshua Steele
License
Citation
“Piled Higher and Deeper” by Jorge Cham, http://www.phdcomics.com
Collaborate with your future self
Getting Started
https://github.com/iaine/ReproResOxford
Click “launch binder”
Practical
Principles of Irreproducibility
Think “Big” Picture
Principles of Irreproducibility
Think “Big” Picture
Be abstract
Principles of Irreproducibility
Think “Big” Picture
Be abstract
Short and sweet
Principles of Irreproducibility
Think “Big” Picture
Be abstract
Short and sweet
The deficit model
Principles of Irreproducibility
Think “Big” Picture
Be abstract
Short and sweet
The deficit model
Don’t share
Principles of Irreproducibility
Think “Big” Picture
Be abstract
Short and sweet
The deficit model
Don’t share
Above all:
Make sure that you cannot reproduce your own work
(Hong, N.P.C., et al, 2015)
Joshua Steele
Discusses methodology including mistakes
“If urged with a stronger breath, it will give octaves above these;
but then it becomes ill in tune: and I understood from Mr Banks , the
natives of Otaheite use no more than those first four sounds” (Steele
1775: 73)
Joshua Steele
Notes his assumptions
“Were I to give these notes denominations according to our
system of music” (1775:73)
“[s]upposing a speech was noted, according to these rules, in
the manner he spoke it, -whether any other person, by the help
of these notes, could pronounce his words in the same tone
and manner exactly as he did?” (1779:54)
License
Code and data should have a license file
LICENSE or LICENSE.txt
DON’T try and write your own
Use a service
Does your institution or group recommend one?
Enable Citation
Allow others to cite your software!
Add a citation file to your code to show how you want to be cited.
Provide a Digital Object Identifier for your code and data.
Figshare and Zenodo offer ways of doing this.
If a paper uses your software, or part if it, without credit, contact the editor
Usher, 2017
Cite your software sources
Describe software that provides a critical part of, or unique contribution to, your
research
There are many ways of describing software: footnotes, acknowledgements,
references, and method sections
Be aware that the software licence may require you attribute the software
Cite software papers as an aid not a replacement to software or data
In first drafts, always put in software references or bibliography
Be prepared to argue about including the software or the data
If the reviewer disagrees with the citation, add it to references
Recommended citations may need extra detail
If the software has a DOI, use it.
(Jackson, 2016)
Two final questions
Can someone on your group reproduce one of your results using
available information on the web or in papers?
Can you do this for their results?
Thanks for listening
Iain Emsley
I.Emsley@Sussex.ac.uk
@iainemsley
Acknowledgements
Laura Fortunato, Kesson Magid, Philip Fowler, Pip Willcox, Martin
Hadley, University of Oxford, Reproducible Research Oxford,
https://rroxford.github.io/
David De Roure, Oxford e-Research Centre
Software Sustainability Institute
References
Baker, Monya. “1,500 Scientists Lift the Lid on Reproducibility.” Nature News 533, no. 7604 (May 26, 2016): 452. doi:10.1038/533452a.
Hong, Neil P. Chue, Tom Crick, Ian P. Gent, Lars Kotthoff, and Kenji Takeda. “Top Tips to Make Your Research Irreproducible.” ArXiv:1504.00062 [Cs], March
31, 2015. http://arxiv.org/abs/1504.00062.
Huang, Daisie and Gonzalez, Ivan (eds): "Software Carpentry: Version Control with Git." Version 2016.06, June 2016,
https://github.com/swcarpentry/git-novice, 10.5281/zenodo.57467
Jackson, Mike, How to cite and describe the software you used in your research - top ten tips, https://www.software.ac.uk/blog/2016-10-07-how-cite-
and-describe-software-you-used-your-research-top-ten-tips
Lowndes, J.S.S. et al. Our path to better science in less time using open data science tools. Nat. Ecol. Evol. 1, 0160 (2017), doi:10.1038/s41559-017-0160
Morin Andrew, Urban Jennifer, Sliz Piotr , A Quick Guide to Software Licensing for the Scientist-Programmer, PLOS Computation Biology,
https://doi.org/10.1371/journal.pcbi.1002598
Piccolo, Stephen R., and Michael B. Frampton. “Tools and Techniques for Computational Reproducibility.” GigaScience 5, no. 1 (December 1, 2016): 1–13.
doi:10.1186/s13742-016-0135-4.
Steele, J. 1775 Remarks on a larger system of reed pipes from the Isle of Amsterdam, with some observations on the nose flute of Otaheite, Phil. Trans.
65, 72-78, published 1 January 1775
Steele, J. 1779. Prosodia rationalis: or, An essay towards establishing the melody and measure of speech, to be expressed and perpetuated by peculiar
symbols (2 ed.), J. Nichols, London
Usher, Will, How Not to Cite Software (and how to be cited), https://www.software.ac.uk/blog/2017-03-30-how-not-cite-software-and-how-be-cited

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Reproducible Research in the Humanities

  • 1. Reproducible Research in the Humanities Iain Emsley
  • 3. “Piled Higher and Deeper” by Jorge Cham, http://www.phdcomics.com
  • 4. Collaborate with your future self
  • 8. Principles of Irreproducibility Think “Big” Picture Be abstract
  • 9. Principles of Irreproducibility Think “Big” Picture Be abstract Short and sweet
  • 10. Principles of Irreproducibility Think “Big” Picture Be abstract Short and sweet The deficit model
  • 11. Principles of Irreproducibility Think “Big” Picture Be abstract Short and sweet The deficit model Don’t share
  • 12. Principles of Irreproducibility Think “Big” Picture Be abstract Short and sweet The deficit model Don’t share Above all: Make sure that you cannot reproduce your own work (Hong, N.P.C., et al, 2015)
  • 13. Joshua Steele Discusses methodology including mistakes “If urged with a stronger breath, it will give octaves above these; but then it becomes ill in tune: and I understood from Mr Banks , the natives of Otaheite use no more than those first four sounds” (Steele 1775: 73)
  • 14. Joshua Steele Notes his assumptions “Were I to give these notes denominations according to our system of music” (1775:73) “[s]upposing a speech was noted, according to these rules, in the manner he spoke it, -whether any other person, by the help of these notes, could pronounce his words in the same tone and manner exactly as he did?” (1779:54)
  • 15. License Code and data should have a license file LICENSE or LICENSE.txt DON’T try and write your own Use a service Does your institution or group recommend one?
  • 16. Enable Citation Allow others to cite your software! Add a citation file to your code to show how you want to be cited. Provide a Digital Object Identifier for your code and data. Figshare and Zenodo offer ways of doing this. If a paper uses your software, or part if it, without credit, contact the editor Usher, 2017
  • 17. Cite your software sources Describe software that provides a critical part of, or unique contribution to, your research There are many ways of describing software: footnotes, acknowledgements, references, and method sections Be aware that the software licence may require you attribute the software Cite software papers as an aid not a replacement to software or data In first drafts, always put in software references or bibliography Be prepared to argue about including the software or the data If the reviewer disagrees with the citation, add it to references Recommended citations may need extra detail If the software has a DOI, use it. (Jackson, 2016)
  • 18. Two final questions Can someone on your group reproduce one of your results using available information on the web or in papers? Can you do this for their results?
  • 19. Thanks for listening Iain Emsley I.Emsley@Sussex.ac.uk @iainemsley
  • 20. Acknowledgements Laura Fortunato, Kesson Magid, Philip Fowler, Pip Willcox, Martin Hadley, University of Oxford, Reproducible Research Oxford, https://rroxford.github.io/ David De Roure, Oxford e-Research Centre Software Sustainability Institute
  • 21. References Baker, Monya. “1,500 Scientists Lift the Lid on Reproducibility.” Nature News 533, no. 7604 (May 26, 2016): 452. doi:10.1038/533452a. Hong, Neil P. Chue, Tom Crick, Ian P. Gent, Lars Kotthoff, and Kenji Takeda. “Top Tips to Make Your Research Irreproducible.” ArXiv:1504.00062 [Cs], March 31, 2015. http://arxiv.org/abs/1504.00062. Huang, Daisie and Gonzalez, Ivan (eds): "Software Carpentry: Version Control with Git." Version 2016.06, June 2016, https://github.com/swcarpentry/git-novice, 10.5281/zenodo.57467 Jackson, Mike, How to cite and describe the software you used in your research - top ten tips, https://www.software.ac.uk/blog/2016-10-07-how-cite- and-describe-software-you-used-your-research-top-ten-tips Lowndes, J.S.S. et al. Our path to better science in less time using open data science tools. Nat. Ecol. Evol. 1, 0160 (2017), doi:10.1038/s41559-017-0160 Morin Andrew, Urban Jennifer, Sliz Piotr , A Quick Guide to Software Licensing for the Scientist-Programmer, PLOS Computation Biology, https://doi.org/10.1371/journal.pcbi.1002598 Piccolo, Stephen R., and Michael B. Frampton. “Tools and Techniques for Computational Reproducibility.” GigaScience 5, no. 1 (December 1, 2016): 1–13. doi:10.1186/s13742-016-0135-4. Steele, J. 1775 Remarks on a larger system of reed pipes from the Isle of Amsterdam, with some observations on the nose flute of Otaheite, Phil. Trans. 65, 72-78, published 1 January 1775 Steele, J. 1779. Prosodia rationalis: or, An essay towards establishing the melody and measure of speech, to be expressed and perpetuated by peculiar symbols (2 ed.), J. Nichols, London Usher, Will, How Not to Cite Software (and how to be cited), https://www.software.ac.uk/blog/2017-03-30-how-not-cite-software-and-how-be-cited

Editor's Notes

  1. Big Picture: only talk about the Humanities. Don’t discuss what you did, or how it was set up. If you do have to discuss, only do it at a very high level. Be abstract: Provide pseudocode. It avoids mentioning the difficulties encountered. Short and sweet: Don’t go into detail on the methodology. It just shows the gaps. Deficit model: You’re the expert in your domain. Use your own benchmarks. Don’t share. It only makes it easier for people to understand how your code works or doesn’t.
  2. Big Picture: only talk about the Humanities. Don’t discuss what you did, or how it was set up. If you do have to discuss, only do it at a very high level. Be abstract: Provide pseudocode. It avoids mentioning the difficulties encountered. Short and sweet: Don’t go into detail on the methodology. It just shows the gaps. Deficit model: You’re the expert in your domain. Use your own benchmarks. Don’t share. It only makes it easier for people to understand how your code works or doesn’t.
  3. Big Picture: only talk about the Humanities. Don’t discuss what you did, or how it was set up. If you do have to discuss, only do it at a very high level. Be abstract: Provide pseudocode. It avoids mentioning the difficulties encountered. Short and sweet: Don’t go into detail on the methodology. It just shows the gaps. Deficit model: You’re the expert in your domain. Use your own benchmarks. Don’t share. It only makes it easier for people to understand how your code works or doesn’t.
  4. Big Picture: only talk about the Humanities. Don’t discuss what you did, or how it was set up. If you do have to discuss, only do it at a very high level. Be abstract: Provide pseudocode. It avoids mentioning the difficulties encountered. Short and sweet: Don’t go into detail on the methodology. It just shows the gaps. Deficit model: You’re the expert in your domain. Use your own benchmarks. Don’t share. It only makes it easier for people to understand how your code works or doesn’t.
  5. Big Picture: only talk about the Humanities. Don’t discuss what you did, or how it was set up. If you do have to discuss, only do it at a very high level. Be abstract: Provide pseudocode. It avoids mentioning the difficulties encountered. Short and sweet: Don’t go into detail on the methodology. It just shows the gaps. Deficit model: You’re the expert in your domain. Use your own benchmarks. Don’t share. It only makes it easier for people to understand how your code works or doesn’t.
  6. Big Picture: only talk about the Humanities. Don’t discuss what you did, or how it was set up. If you do have to discuss, only do it at a very high level. Be abstract: Provide pseudocode. It avoids mentioning the difficulties encountered. Short and sweet: Don’t go into detail on the methodology. It just shows the gaps. Deficit model: You’re the expert in your domain. Use your own benchmarks. Don’t share. It only makes it easier for people to understand how your code works or doesn’t.