presentation on data services at uncg
TRANSCRIPT
DATA SERVICES AT UNCG
March 20, 2009
Services
Aggregating and Advertizing Data & Statistical Sources
Data Portal: http://library.uncg.edu/data_services/
UNCG’s Dataland: http://uncgdataland.blogspot.com/
Delicious page: http://delicious.com/uncgdata
Services
Data Education Sessions on finding government statistics
and data
Data Consultations One-on-one assistance distinguishing
between sources of data for research projects.
Assistance identifying
Services
Data Acquisitions Identifying general use data sets to acquire. Relevancy and demand: The primary
consideration for acquisition will be relevance to research and teaching needs at UNCG.
Physical format of data Duplication Authority of data Accessibility Cost
Policies
Assist users in acquiring freely available data in conjunction with the library liaison.
Attempt to purchase data sets for UNCG researchers dependent upon funding and the Library’s ability to comply with license and use restrictions.
Methodological questions or data analysis and interpretation are beyond the scope of the Library's Data Services.
The Library does not currently support GIS
ICPSR
The Inter-university Consortium for Political and Social Research
ICPSR’s mission is to: Collect and preserve research data. Disseminate data for further analysis and
instruction by researchers, scholars and instructors. Serve as a leading quantitative analysis training
resource.
Access ICPSR from the Database list.
Archives within ICPSR
Child Care & Early Education, Research Connections 132 datasets and over 11,000 resources on
child care and early education
Other Data Sources
National Center for Education Statistics Data Analysis System Includes Pre-Elementary Education
Longitudinal Study (PEELS) from the National Center for Special Education Research
National Longitudinal Transition Study-2 IDEAdata.org Special Education Elementary Longitudin
al Study
Additional Tools
Data Use Tutorial Bibliography of Data Related Literature ICPSR Summer Program in Quantitative
Methods SAS and SPSS tutorials