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Managing & sharing your data and code for openness Slide 1 Managing & sharing your data and code for openness Slide 2 Managing & sharing your data and code for openness Slide 3 Managing & sharing your data and code for openness Slide 4 Managing & sharing your data and code for openness Slide 5 Managing & sharing your data and code for openness Slide 6 Managing & sharing your data and code for openness Slide 7 Managing & sharing your data and code for openness Slide 8 Managing & sharing your data and code for openness Slide 9 Managing & sharing your data and code for openness Slide 10 Managing & sharing your data and code for openness Slide 11 Managing & sharing your data and code for openness Slide 12 Managing & sharing your data and code for openness Slide 13 Managing & sharing your data and code for openness Slide 14 Managing & sharing your data and code for openness Slide 15 Managing & sharing your data and code for openness Slide 16
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Brief talk for April 6 symposium, Open Source for Science + Innovation, Boston MA https://opensource.org/node/859

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Managing & sharing your data and code for openness

  1. 1. Managing & sharing your data and code for openness Phoebe Ayers MIT Libraries April 6, 2017
  2. 2. Data therapy
  3. 3. https://xkcd.com/1459/
  4. 4. Carly Strasser, 2014 AGU Early Career Conference https://www.slideshare.net/carlystrasser/data-matters-for-agu-early-career-conference
  5. 5. http://phdcomics.com/comics.php?f=1531
  6. 6. So what?
  7. 7. Nature doi:10.1038/nature.2015.18248; Nature Human Behavior doi:10.1038/s41562-016-0021; https://en.wikipedia.org/wiki/Replication_crisis
  8. 8. PloS Computational Biology, doi:10.1371/journal.pcbi.1003285 Nature 533,452–454 (26 May 2016) doi:10.1038/533452a
  9. 9. Open, reproducible science rests on open data, methods & code Online data ≠ reproducible, usable data
  10. 10. 5 quick ways to make your work more open
  11. 11. 1. Make a plan Center for Open Science, cos.io Data Management Planning Tool, dmptool.org
  12. 12. 2. Organize & make a file naming scheme sam_monarch_wing_20160115_CM_001.tif [instrument]_[item]_[date]_[collector]_[ascension#].ext / butterfly / images / cmalin / 20160115 sd27743.sam Thanks to Christine Malinowski, MIT Libraries
  13. 13. 3. Document, document, document • .README • Comments • Codebooks • Lab manuals • Data & software papers • Extended Methods MIMIC dataset https://mimic.physionet.org/mimicdata/time/
  14. 14. 4. Deposit in a repository Zenodo.org, dataverse.Harvard.edu, figshare.com
  15. 15. 5. Make it citable • Get a DOI (via a repository) • Archive your GitHub repos • Pack up your environment & dependencies (eg, reprozip.org, Reproducible builds) • Publish a data paper • Publish a software paper • Publish a manual • Include a .CITATION file • Give appropriate credit to contributors https://guides.github.com/activities/citable-code/
  16. 16. Resources • MIT Libraries data management team: • http://libraries.mit.edu/data-management • Software Sustainability Institute: http://software.ac.uk/ • FORCE11: https://www.force11.org/ • Open Knowledge Int’l: https://okfn.org/ Phoebe Ayers: psayers@mit.edu This presentation is licensed under a Creative Commons Attribution 4.0 International License.

Brief talk for April 6 symposium, Open Source for Science + Innovation, Boston MA https://opensource.org/node/859

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