This document provides an overview of geographic information systems (GIS) used at the National Institutes of Health (NIH) in Bethesda, Maryland. It discusses the GIS stack including the National Outreach Mapping Center and its users. It covers analytical uses of GIS including clustering, regression, and visualization techniques. The document concludes with recommendations for trends in GIS and why mapping is important.

1. GIS@NIH
Bethesda MD
{ "type": "Point“, "coordinates": [ 77.12, 38.99 ] }
Harsh Prakash 2014

2. • GIS
• What, When, How, Where
• GIS Stack
• National Outreach Mapping Center
• Users, Constraints, Research, Choices, Data
• People, Languages, Types
• Analytical
• What, Where, What + Where
• Cluster, Regression
• Visual
• Cartography
• Other Prototypes
• GeoQuiz
• Post Upgrade
• Services, Servers, Mashup, Reprojection, Big GeoData, Accessibility
• GIS Stack
• Demonstration
• Conclusion
• Trends, Recommendations, Why Map, Take-Away
Agenda
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3. GIS  What
Geographic Information System
• Used to capture, store, manage, retrieve, analyze, and display spatial information. - NOAA
• Lets us visualize, question, analyze, interpret, and understand data to reveal relationships, patterns, and
trends. - ESRI
• For capturing, storing, checking, and displaying data related to positions on Earth’s surface. - National
Geographic
• Not just points on Google Maps. – Nearly Everyone
IT
GIS
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4. GIS  When
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5. GIS  How
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6. GIS  How (Mapping Mashup)
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7. GIS  Where © ESRI
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8. GIS Stack  NOMC
National Outreach Mapping Center
• To provide tools to identify, track, and map the National Network of Libraries of
Medicine outreach.
• To enhance NLM’s ability to equitably distribute its services and resources.
HHS Environmental Justice Strategy
2012: III – 1
NLM Health Disparities Strategic Plan & Budget
FY09 - FY13: 3.1.2 - 2
go.usa.gov/ByZw go.usa.gov/ByZe
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9. GIS Stack  NOMC  Users
University and Government Users
8 Regional Medical Libraries
creighton.edu
iupui.edu
kumc.edu
nyu.edu
tmc.edu
ucla.edu
uic.edu
umassmed.edu
umh.edu
unmc.edu
utah.edu
uwyo.edu
washington.edu
nih.gov
$ cat access*log | egrep "/2009|/2010|/2011|/2012/2013" | grep "/nomc/" | awk '{print $1}' | sort -u | nslookup | grep "name" | sort -u
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10. GIS Stack  NOMC  Constraints
Password Protected
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11. GIS Stack  NOMC  Constraints
Password Protected
$$$
$$$
$$$
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12. GIS Stack  NOMC  Constraints
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13. GIS Stack  NOMC  Research
Requirement Weight: 3 = Required, 2 = Good to Have, 1 = Not Required
Point Range: 0 - 5
Requirements and Comparison Matrix
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14. GIS Stack  NOMC  Research
Custom v. COTS
Central v. Distributed
In-House v. Cloud
Fitness
Value
Lock-In
© @worrydream
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15. GIS Stack  NOMC  Choices
Password Protected
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16. GIS Stack  NOMC  Choices
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17. GIS Stack  NOMC  Data
Vector
Raster
Federal Portals, Paid Providers, Open Source Projects nlmgisadmin@mail.nih.gov
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18. GIS Stack
Web Server
MapServer
Oracle
PostgreSQL
SpatiaLite
Data Catalog
GIS Workstation
Firewall Map User
Program
PITR
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19. DBA
Application
Desktop
Systems
Security LO
GIS Stack  People
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20. GIS Stack  Languages
Map
 Layer
 Class
 Style, Label
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21. GIS Stack  Types
COTS
Open Source
COTS
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22. Analytical
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23. Analytical  What
From MedlinePlus
Health Topics
From
QR
Service
From
Vivisimo
SQLite
Search
Logs
To NLM
Main Web
Top 100 User Search Terms
daily
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24. Analytical  Where
From Webtrends
Apache Logs
Over 2 Million Page Views
From
Graph Service
daily
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25. Analytical  What + Where From Webtrends
Apache Referral Logs
Top 20 User Search Terms
for
Top 20 Cities
daily
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26. Analytical  Cluster
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27. Analytical  Cluster
MedlinePlus, Feb 3rd, 2014
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28. Analytical  Cluster  Concentration
MedlinePlus, Feb 3rd, 2014
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29. Analytical  Cluster  Hot Spot
GeoFence
MedlinePlus, Feb 3rd, 2014
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30. Analytical  Regression
25 to 29 years
Male
Female
MedlinePlus, Feb 3rd, 2014. Census Bureau.
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31. Visual
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32. Visual  Cartography
Which map
shows more
page views?
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33. By Per Capita
(Funding)
By Average
(Funding)
By Total
(Project)
By Total
(Funding)
Visual  Cartography
Outreach Projects, FY11 - 13
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34. Visual  Cartography
Texas
Washington
California
Illinois
New
York
Utah
Cartogram
By Total (Funding) Outreach Projects, FY11 - 13
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35. Visual  Other Prototypes
3D Model 3D Hologram
Zebra Imaging
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36. Visual  Other Prototypes
Intro App
for
Windows 8
and
iPad
(HTML5)
Reading Room Kiosk
for the
Touch Screen
(Flash)
Health Topics
Browser
for the
Touch Screen
(Flash)
Video Search
for the
iPad
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37. GeoQuiz
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38. GeoQuiz  1
Which city logged the most
page views to MedlinePlus? Feb 3rd, 2014
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39. GeoQuiz  1
Mexico City MX
254,814 Page Views
Feb 3rd, 2014
Which city logged the most
page views to MedlinePlus?
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40. GeoQuiz  2
Bethesda MD
16,260 Page Views
Feb 3rd, 2014
Which city logged the most
page views to NLM Main Web?
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41. GeoQuiz  3
Dallas TX
15,937 Page Views
Feb 3rd, 2014
Which city logged the most
page views to DailyMed?
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42. Post Upgrade
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43. Post Upgrade  Services
Health Data
Initiatives
© Boundless
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44. Post Upgrade  Servers
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45. Google Maps/Google Earth
APIs Terms of Service
8.3 Content License.
9. License Requirements.
9.1 Free, Public Accessibility to
Your Maps API Implementation.
9.1.1 General Rules.
(b) Public Access (No Firewall).
Post Upgrade  Mapping Mashup
If mapping mashup,
• Get approval.
• Use maps API (on private public
website to avoid violation).
If WMS/WFS,
• Get approval.
• Create data API.
• Use GIS Stack API.
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46. Post Upgrade  Reprojection
© ESA
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47. Post Upgrade  Simplification (Big GeoData)
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48. “..access to and use of information and data,
comparable to that of the employees and
members of the public without disabilities–unless
it is an undue burden to do so.”
access-board.gov/508.htm
Post Upgrade  Accessibility
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49. Mobile
Full Text Search
WMS, WFS
Server, Client
(GML, GeoJSON)
Post Upgrade  GIS Stack
OpenLayers,
Leaflet
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50. Post Upgrade  Demonstration
NOMC DHMC
CT
HMFAC
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51. Page 2
Page 1
Page 3
18 Layers
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59. Conclusion
GIS
GIS Stack
Analytical
Visual
Post Upgrade
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60. Conclusion  Trends
navigator.geolocation.getCurrentPosition( f_position );
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61. Conclusion  Recommendations
@EdwardTufte
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62. Conclusion  Recommendations
goo.gl/BneQAA
Mapping Mashups 101
goo.gl/yj35ll
Mapping Mashups 201
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63. Conclusion  Why Map
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64. Conclusion  Why Map
© C. L. Moffatt
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65. Conclusion  Why Map
© @worrydream
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66. Conclusion  Why Map
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67. Conclusion  Take-Away
Questions?
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