• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
RDAP14: David Van Riper of Terra Populus
 

RDAP14: David Van Riper of Terra Populus

on

  • 158 views

Research Data Access and Preservation Summit, 2014

Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014

David Van Riper, Director of Spatial Data, TerraPop

Statistics

Views

Total Views
158
Views on SlideShare
155
Embed Views
3

Actions

Likes
0
Downloads
4
Comments
0

1 Embed 3

http://www.slideee.com 3

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment
  • Integration across domains, formats hinges on geographyUsers get any type of data in format useful to themRequires boundary files, boundaries harmonized over time
  • Integration across domains, formats hinges on geographyUsers get any type of data in format useful to themRequires boundary files, boundaries harmonized over time
  • Integration across domains, formats hinges on geographyUsers get any type of data in format useful to themRequires boundary files, boundaries harmonized over time
  • Integration across domains, formats hinges on geographyUsers get any type of data in format useful to themRequires boundary files, boundaries harmonized over time

RDAP14: David Van Riper of Terra Populus RDAP14: David Van Riper of Terra Populus Presentation Transcript

  • David Van Riper RDAP14, San Diego March 27, 2014
  • TerraPop Goals Lower barriers to conducting interdisciplinary human- environment interactions research by making data with different formats from different scientific domains easily interoperable Provide an organizational and technical framework to preserve, integrate, disseminate, and analyze global- scale spatiotemporal data describing population and the environment.
  • TerraPop in Context Collaborating Organizations • Data integration expertise • Large census and survey data collections & expertise • Institutional foundation • Human-environment interactions research expertise • Environmentally-oriented data collections & expertise • Data preservation and sustainability expertise • Social science data collections & expertise • Major producers and distributors of data on both humans and their environment • Major producers of tools for integrating and transforming data across formats • Leaders in preservation and sustainability
  • TerraPop in Context DataNet Cyberinfrastructure Curated population and environment data collection  Exposed through DataONE, SEAD  Extracts exportable to DFC Integration services  Potentially available through DFC, SEAD  Open source components and API
  • • T W O D O M AI N S : P O P U L AT I O N & E N V I R O N M E N T • T H R E E D ATA S T R U C T U R E S • Microdata • Area-level data • Rasters Source Data
  • Making disparate data formats interoperable Microdata: Characteristics of individuals and households Area-level data: Characteristics of places defined by boundaries Raster data: Values tied to spatial coordinates
  • M I C R O D ATA  AR E A- L E V E L  R AS T E R Location-Based Integration
  • Location-Based Integration Microdata Area-level dataRasters Mix and match variables originating in any of the data structures Obtain output in the data structure most useful to you
  • Location-Based Integration Individuals and households with their environmental and social context Microdata Area-level dataRasters
  • Location-Based Integration Summarized environmental and population Microdata Area-level dataRasters County ID G17003100001 G17003100002 G17003100003 G17003100004 G17003100005 G17003100006 G17003100007 County ID Mean Ann. Temp. Max. Ann. Precip. G17003100001 21.2 768 G17003100002 23.4 589 G17003100003 24.3 867 G17003100004 21.5 943 G17003100005 24.1 867 G17003100006 24.4 697 G17003100007 25.6 701 County ID Mean Ann. Temp. Max. Ann. Precip. Rent, Rural Rent, Urban Own, Rural Own, Urban G17003100001 21.2 768 3129 1063 637 365 G17003100002 23.4 589 2949 1075 1469 717 G17003100003 24.3 867 3418 1589 1108 617 G17003100004 21.5 943 1882 425 202 142 G17003100005 24.1 867 2416 572 426 197 G17003100006 24.4 697 2560 934 950 563 G17003100007 25.6 701 2126 653 321 215 characteristics for administrative districts
  • Location-Based Integration Rasters of population and environment data Microdata Area-level dataRasters
  • Future Plans
  • Collection Expansion  Add more census/survey data  Add more global environmental data  Add more GIS mapping files  Develop data curation protocol(s) for adding additional data to TerraPop  Develop mechanisms for scholars to deposit data/metadata into TerraPop  Allow others’ data to be integrated with other TerraPop data
  • Upcoming Activities  Beta system public release – soon!  User interface redesign for Fall 2014  Conference workshops  IASSIST – Toronto – June 3, 2014  Population Association of America – Boston – April 30, 2014  More to come in last 2014/early 2015  Become a DataONE member node  Continue working with SEAD and DFC on potential collaborations
  • Keep in touch with TerraPop -Website: http://www.terrapop.org -Data access system: http://beta.terrapop.org -Twitter: @TerraPopulus -Email: David Van Riper – vanriper@umn.edu