Scaling Reproducible Research with Jupyter

Keynote delivered on 12-09-2019 at the 2019 IEEE Big Data Conference - 4th Workshop on Open Science in Big Data (OSBD).

Jupyter Notebooks have taken the scientific and open data world by storm the past five years. Being able to tell a computational narrative that combines prose, code, media, and rich visualizations have increased a researcher’s ability to collaborate with others, share research in a reproducible way, and educate others in their scientific discipline and beyond.

A suite of tools, processes that scale, and modern ways to communicate openly about scientific research have grown rapidly within Project Jupyter’s open source community. Beyond the Jupyter Notebook, open source projects, including JupyterLab, JupyterHub, Binder, and nteract’s Papermill, offer new pipelines and services to allow open research to scale and impact others on a global scale.

Transcript

1. @WillingCarol
   Scaling Reproducible Research
   with Jupyter
   4th Workshop on Open Science in Big Data (OSBD)
   IEEE Big Data, Los Angeles
   December 9, 2019
   1
   Carol Willing
   @WillingCarol
   10.5281/zenodo.3567219.
   

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2. @WillingCarol 2
   Using data responsibly to
   solve real world issues and
   improve human lives
   Reproducible Research
   

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3. @WillingCarol 3
   San Diego, CA
   

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4. @WillingCarol 4
   Tokyo
   

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5. @WillingCarol 5
   Sunday Oct 6
   Source: ECMWF
   

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6. Copyright: 2019 European
   Union, contains modified
   Copernicus Sentinel data
   2019, processed by
   EUMETSAT
   Super Typhoon
   Hagibis
   View of Super Typhoon
   Hagibis south-west of
   Japan, as captured by
   the Copernicus
   Sentinel-3 satellite on
   08 October at 00:16
   UTC.
   

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7. Title Typhoon Hagibis
   Released 10/10/2019 4:45 pm
   Copyright contains modified Copernicus
   Sentinel data (2019), processed by ESA,
   CC BY-SA 3.0 IGO
   

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8. Source:Twitter
   

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9. @WillingCarol 9
   

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10. @WillingCarol 10
    

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11. A sign is partially submerged as the Tama River floods during Typhoon Hagibis.
    Source:Getty Images
    Source:Japan Times
    

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12. @WillingCarol
    Preparation
    Evacuation
    Safety
    12
    

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13. @WillingCarol
    Lives depend on
    13
    

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14. @WillingCarol
    scaling reproducible
    research
    14
    

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15. @WillingCarol
    Tools
    Processes
    Communication
    15
    

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16. @WillingCarol 16
    jupyter.org
    

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17. @WillingCarol
    Research
    17
    Jupyter Citations
    Number
    0
    1000
    2000
    3000
    4000
    2015 2016 2017 2018 2019 Projected
    

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18. 

    Millions of
    Notebooks
    https://github.com/trending/jupyter-notebook
    Over 5 million
    
    on GitHub
    

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19. @WillingCarol 19
    ‣ Growth
    ‣ ACM Award
    ‣ Industry adoption
    ‣ Creative uses
    ‣ Open Source Book
    

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20. @WillingCarol 20
    JupyterLab
    

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21. @WillingCarol 21
    jupyter.org demo of JupyterLab
    

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22. @WillingCarol
    Healthy Best Practices
    22
    

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23. @WillingCarol 23
    Ten Simple Rules for
    Reproducible Research in
    Jupyter Notebooks
    Adam Rule et al.
    https://github.com/jupyter-guide/ten-rules-jupyter
    https://github.com/jupyter-guide/jupyter-guide
    

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24. @WillingCarol
    Keep up with changes
    24
    https://tinyletter.com/TrackingJupyter
    

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25. @WillingCarol
    Proceed cautiously
    with pseudo-open
    projects
    25
    

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26. @WillingCarol
    Ask why
    26
    

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27. @WillingCarol
    Tools
    Processes
    Communication
    27
    

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28. A pictorial representation of the different tools constituting BinderHub. This image was created by Scriberia for The Turing Way
    community and is used under a CC-BY licence. Zenodo record.
    https://blog.jupyter.org/diving-into-
    leadership-to-build-push-button-code-
    df2a075c9914
    zero-to-jupyterhub.readthedocs.io
    

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29. @WillingCarol 29
    nteract
    Papermill
    Scrapbook
    Bookstore
    Commuter
    Production data at scale
    29
    https://medium.com/netflix-techblog/notebook-innovation-591ee3221233
    Bookstore
    

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30. @WillingCarol 30
    Papermill - parameterize / run
    Scrapbook - recording / reading
    Bookstore - store notebooks
    Commuter - share notebooks
    Production data at scale
    30
    

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31. @WillingCarol 31
    Papermill
    Parameterize and Run
    

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32. @WillingCarol
    Create a
    Reproducibility
    Pipeline
    32
    

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33. @WillingCarol
    Decouple steps for
    flexibility
    33
    

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34. @WillingCarol
    Plan
    Execute
    Change
    34
    https://jupyterhub-team-compass.readthedocs.io
    https://github.com/jupyterhub/team-compass
    

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35. @WillingCarol
    Tools
    Processes
    Communication
    35
    

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36. @WillingCarol 36
    

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37. @WillingCarol 37
    Deploy your own BinderHub
    mybinder.org
    Binder 2.0 blog post
    elifesciences: Share
    your interactive
    research environment
    Nature article about
    Binder
    

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38. 38
    Juliette Taka
    

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39. 39
    Juliette Taka
    

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40. 40
    Juliette Taka
    

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41. 41
    Juliette Taka
    

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42. 42
    Juliette Taka
    

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43. 43
    Juliette Taka
    

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44. @WillingCarol
    Binder
    44
    

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45. @WillingCarol
    Pangeo
    45
    https://pangeo.io
    

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46. @WillingCarol 46
    

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47. @WillingCarol 47
    https://simexp.github.io/vcog_hps_ad_book/intro.html
    Jupyter Book
    Binder
    Jupyter
    pandas
    scipy
    scikit learn
    matplotlib
    numpy
    seaborn
    Canadian Open Neuroscience Platform
    

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48. @WillingCarol
    Build Communities
    48
    

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49. jupyter.org
    

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50. @WillingCarol
    Leverage solutions
    across disciplines
    50
    

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51. @WillingCarol
    Share binders.
    Foster scientific
    research.
    51
    

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52. @WillingCarol
    Tools
    Processes
    Communication
    52
    

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53. @WillingCarol
    Why strive for
    reproducible research?
    53
    

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54. @WillingCarol
    Reproducible research
    improves prediction
    54
    

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55. @WillingCarol
    prediction =
    impact
    55
    

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56. @WillingCarol 56
    Scaling reproducible
    research improves science
    and our world
    

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57. @WillingCarol 57
    Thank you
    Big Data (OSBD) Workshop Organizers
    Project Jupyter Team
    Min Ragan-Kelly
    

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58. @WillingCarol
    Attributions
    58
    References to published research, projects, and drawings (and marked on slides)
    [3] Statistics: https://fivethirtyeight.com/features/which-city-has-the-most-unpredictable-weather/
    [5,9] ECMWF
    [6] Copyright: 2019 European Union, contains modified Copernicus Sentinel data 2019, processed by EUMETSAT
    [7] Copyright contains modified Copernicus Sentinel data (2019), processed by ESA, CC BY-SA 3.0 IGO
    [23] Adam Rule et al.
    [38-43] Juliette Taka
    [45] Pangeo
    [46] Lindsey Heagy
    [47] Canadian Open Neuroscience Platform
    Photos
    [3, 4, 57] Source: Carol Willing and Linnea Willing
    [8] Twitter
    [10] Getty Images
    [29-31] nteract and Netflix
    

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