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

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

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

11. Persona
Proprietar
y
Public

12. Part 1: Public Data – finding
fascinating data about your world

13. © 2018 Data Literacy. All rights reserved. 13
Different Kinds of “Search”

14. https://toolbox.google.com/datasetsearch

25. https://usafacts.org/

26. © 2018 Data Literacy. All rights reserved. 26
Different Kinds of “Search”

27. https://tinyletter.com/data-is-plural/archive

28. https://github.com/awesomedata/awesome-public-datasets

33. Patrick McGarry
Director of Community for Data.World

34. Part 2: Proprietary Data - gathering
useful and valuable company data

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

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

59. Persona
Proprietar
y
Public

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