1. Working with #opendata
Tony Hirst
@psychemedia

2. DATA
USERS
Educators
Learners
Planners
Marketers
Policymakers
Researchers
Press
NGOs
“
D
E
V
E
L
O
P
E
R
S
”

3. A tools and
issues
based view

4. DATA
TOOLS
USERS
PROBLEMS

5. Access/obtain data
Make sense of data
Ask specific questions of data
Communicate in a data-centric way

6. Load data
Clean data
Merge/enrich data

7. DATA
Issues
TOOLS

8. DATA
Other
TOOLS
Issues
TOOLS

9. A barrier to access
(for the tool user) is
data format

12. JSON XMLCSVXLS
TSV
.db
HTML
PDF DOCTXT

13. GLUE LOGIC(Glue code)

14. =importHTML(URL, “table”, N)
HTML
QUERYABLE
DATA

15. =importHTML(URL, “table”, N)
HTML
INTERACTIVE
DASHBOARD
Google Charts

23. A barrier to access
(for the tool user) is
data shape

32. A barrier to access
(for the tool user) is
data cleanliness

44. Questions of
identity

45. The Open University
Open University
OU
Open Uni
Open University, UK
NORMALISATION/RECONCILIATION

47. Reconciliation to
a canonical name
and/or to a
unique identifier

56. A stumbling block
(for the data user)
is data enrichment

64. A stumbling block
(for the data user)
is joining datasets

65. A stumbling block
(for the data user)
is joining partially
matched data

66. Rolling your own
interactive data
exploration tools

67. Google
Visualisation
API

71. googleVis
(R)

73. R Shiny
Apps

76. ui.R server.R

83. RCharts

87. Many chart tools
do the work for
you if the data is
in the right shape

88. DATA
TOOLS
USERS PROBLEMS

90. blog.ouseful.info
@psychemedia