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Data Literacy Webinar 003 - Finding & Gathering Data

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Ben Jones
Ben Jones

Do you ever struggle with getting your hands on relevant data to solve critical issues and answer important questions? In this webinar, we'll discuss practical ways to find, gather and even create data, whether it's public data about the world we live in, proprietary data about the companies we work for, or personal data about the lives we live. We're delighted to also welcome special guest Patrick McGarry, Director of Community for the new data sharing platform Data.World to talk about how he sees the democratization of data both within corporations as well as in society as a whole. Links to the resources referenced in the webinar can all be found here: http://bit.ly/DLWebinar3Links

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Finding & Gatheringrelevant Data Literacy Webinar #3 Wednesday, February 13 at 12pm PST
Thank You for Joining! We’re on a mission to help people learn the language of data. This bi- weekly webinar series is dedicated to just that. Thanks for joining, and look out for the recording to be published to YouTube soon. Feel free to send to anyone you think would benefit from the ideas and conversation.
Find all of the links we’ll touch on in this webinar: http://bit.ly/DLWebinar3Links
Make an observation Ask a worthwhile question Form a falsifiable hypothesis Do you have relevant data? Consider its potential shortcomings Is it ready for analysis? Explore its contours and shape Analyze it to see what it’s saying & not saying Determine both the practical & the statistical significance Did you answer your question? Listen to your audience’s feedback Do new questions arise that change things? Get more data, fix issues, and/or re- analyze Enact any appropriate changes or decisions WONDER SEEK DISCOVER MATURE Y N N Y Y N Y N Clean and structure it for analysis Craft & deliver a notable message input output Find & gather data or create it yourself Find another question START PROCESS DEC- ISION DATA PREPARE DOCUMENT SHAPE KEY
Make an observation Ask a worthwhile question Form a falsifiable hypothesis Do you have relevant data? Consider its potential shortcomings Is it ready for analysis? Explore its contours and shape Analyze it to see what it’s saying & not saying Determine both the practical & the statistical significance Did you answer your question? Listen to your audience’s feedback Do new questions arise that change things? Get more data, fix issues, and/or re- analyze Enact any appropriate changes or decisions WONDER SEEK DISCOVER MATURE Y N N Y Y N Y N Clean and structure it for analysis Craft & deliver a notable message input output Find & gather data or create it yourself Find another question START PROCESS DEC- ISION DATA PREPARE DOCUMENT SHAPE KEY
© 2018 Data Literacy. All rights reserved. 10 First, you follow along while I show you using a training data set Then, you do a similar exercise with another provided data set Finally, you go home and repeat it using your own data set My Data Our Data Your Data
Persona Proprietar y Public
Part 1: Public Data – finding fascinating data about your world
© 2018 Data Literacy. All rights reserved. 13 Different Kinds of “Search”
https://toolbox.google.com/datasetsearch
https://usafacts.org/
© 2018 Data Literacy. All rights reserved. 26 Different Kinds of “Search”
https://tinyletter.com/data-is-plural/archive
https://github.com/awesomedata/awesome-public-datasets
Patrick McGarry Director of Community for Data.World
Part 2: Proprietary Data - gathering useful and valuable company data
Curator (noun): A person who organizes and arranges a showing of art or other objects of interest
Data curation is the organization and integration of data collected from various sources. It involves annotation, publication and presentation of the data such that the value of the data is maintained over time, and the data remains available for reuse and preservation. https://en.wikipedia.org/wiki/Data_curation
© 2018 Data Literacy. All rights reserved. 38 Where does the Data Curator role fit?
© 2018 Data Literacy. All rights reserved. 39
For Existing Employees: Lunch and Learn sessions to train employees on high value data sets For New Employees: Incorporate data set training into first week orientation sessions
Part 3: Personal Data – creating your own data sets about topics that are interesting to YOU
Persona Proprietar y Public
© 2018 Data Literacy. All rights reserved. 60 Thank You! Q&A
Data Literacy Webinar #4 Wednesday, February 27 at 12pm PST Exploring the Contours of Your Data

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Data Literacy Webinar 003 - Finding & Gathering Data

  • 1. Finding & Gatheringrelevant Data Literacy Webinar #3 Wednesday, February 13 at 12pm PST
  • 2. Thank You for Joining! We’re on a mission to help people learn the language of data. This bi- weekly webinar series is dedicated to just that. Thanks for joining, and look out for the recording to be published to YouTube soon. Feel free to send to anyone you think would benefit from the ideas and conversation.
  • 3. Find all of the links we’ll touch on in this webinar: http://bit.ly/DLWebinar3Links
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  • 8. Make an observation Ask a worthwhile question Form a falsifiable hypothesis Do you have relevant data? Consider its potential shortcomings Is it ready for analysis? Explore its contours and shape Analyze it to see what it’s saying & not saying Determine both the practical & the statistical significance Did you answer your question? Listen to your audience’s feedback Do new questions arise that change things? Get more data, fix issues, and/or re- analyze Enact any appropriate changes or decisions WONDER SEEK DISCOVER MATURE Y N N Y Y N Y N Clean and structure it for analysis Craft & deliver a notable message input output Find & gather data or create it yourself Find another question START PROCESS DEC- ISION DATA PREPARE DOCUMENT SHAPE KEY
  • 9. Make an observation Ask a worthwhile question Form a falsifiable hypothesis Do you have relevant data? Consider its potential shortcomings Is it ready for analysis? Explore its contours and shape Analyze it to see what it’s saying & not saying Determine both the practical & the statistical significance Did you answer your question? Listen to your audience’s feedback Do new questions arise that change things? Get more data, fix issues, and/or re- analyze Enact any appropriate changes or decisions WONDER SEEK DISCOVER MATURE Y N N Y Y N Y N Clean and structure it for analysis Craft & deliver a notable message input output Find & gather data or create it yourself Find another question START PROCESS DEC- ISION DATA PREPARE DOCUMENT SHAPE KEY
  • 10. © 2018 Data Literacy. All rights reserved. 10 First, you follow along while I show you using a training data set Then, you do a similar exercise with another provided data set Finally, you go home and repeat it using your own data set My Data Our Data Your Data
  • 12. Part 1: Public Data – finding fascinating data about your world
  • 13. © 2018 Data Literacy. All rights reserved. 13 Different Kinds of “Search”
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  • 26. © 2018 Data Literacy. All rights reserved. 26 Different Kinds of “Search”
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  • 33. Patrick McGarry Director of Community for Data.World
  • 34. Part 2: Proprietary Data - gathering useful and valuable company data
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  • 36. Curator (noun): A person who organizes and arranges a showing of art or other objects of interest
  • 37. Data curation is the organization and integration of data collected from various sources. It involves annotation, publication and presentation of the data such that the value of the data is maintained over time, and the data remains available for reuse and preservation. https://en.wikipedia.org/wiki/Data_curation
  • 38. © 2018 Data Literacy. All rights reserved. 38 Where does the Data Curator role fit?
  • 39. © 2018 Data Literacy. All rights reserved. 39
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  • 41. For Existing Employees: Lunch and Learn sessions to train employees on high value data sets For New Employees: Incorporate data set training into first week orientation sessions
  • 42. Part 3: Personal Data – creating your own data sets about topics that are interesting to YOU
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  • 60. © 2018 Data Literacy. All rights reserved. 60 Thank You! Q&A
  • 61. Data Literacy Webinar #4 Wednesday, February 27 at 12pm PST Exploring the Contours of Your Data