Some of the earliest memories of joining the Orange family begin the day new students move onto campus. During Syracuse Welcome 2021, faculty and staff are invited to join the Orientation Leaders, Goon Squad and the Office of First-Year and Transfer Programs (FYTP) in continuing the kick-off tradition of greeting and moving new students into their residence halls. A variety of volunteer times…
New online library resources available for data, statistics
New online library resources available for data, statisticsSeptember 26, 2007Pamela McLaughlinpwmclaug@syr.edu
Numeric Data Services (NDS), a unit of the Social Sciences Services Department in E.S. Bird Library, has added several new resources for those interested in finding statistical information to use in a report or data for statistical analysis.
Located on the Numeric Data Services Web page, the NDS Data and Statistics Search Engine (http://gsic.syr.edu/google/cse/ndscse2.html), a Google Custom Search Engine, searches almost 1,300 websites worldwide that contain data and statistical information in many subject areas.
In addition, NDS has made several new data sets available for online analysis. Of particular note are three datasets specific to Syracuse: the 2000 U.S. Census of Population and Housing, which includes Syracuse neighborhood identifiers; Public Use Microdata from the 1880?2000 U.S. Censuses; and the Public Use Microdata from the 2005 American Community Survey. These applications allow users to create tables and perform statistical analysis on the data over the Web without need for additional statistical software. Other data sets listed on the NDS page (http://library.syr.edu/information/mgi/nds/resources/) provide data at the state and national levels.
Numeric Data Services, located on the third floor of E.S. Bird Library, provides support for students, faculty and staff interested in finding and using statistical information and data. NDS can assist with data management and analysis; use of statistical software — especially SAS, Stata and SPSS; and advise on research methods, study design and questionnaire construction for those collecting their own data.
For further information, contact Paul H. Bern, numeric data services librarian, at 443-1352 or firstname.lastname@example.org.