Databases of the week: highlighting the data providers at Gear Up For Social Science Data Extravaganza

This week's "databases of the week" is a "twofer." We'd like to highlight the databases from the data providers who will be attending our 2019 Gear Up For Social Science Data Extravaganza on friday October 25, 2019 from 10am - 5pm. The Social Science Data Extravaganza will include a DATA EXPO with one-on-one consultations with representatives from the data providers listed below and more!; DATA TALKS by invited Stanford affiliated researchers; and DATA DEMOS by Stanford Library and Academic Technology staff. For more information on the event, please see the Library event listing. Please RSVP if you're interested in attending.

Data providers at the Data EXPO include representatives from:

Adam Matthew Digital - This isn't 1 database, it's 50+ databases of unique archival, primary source collections from archives around the world. There's everything from Gender to Age of Exploration, UK Foreign Office files to Medieval Family Life, Victorian Popular Culture to Jewish life in America, c1654-1954, American Indian Newspapers to China: Culture and Society. Check them all out!

Bloomberg (available at select terminals at the Graduate School of Business (GSB) library). Bloomberg provides both historical and real-time financial market and economic data, covering all sectors worldwide. It also features analytics, company financials, news, and customizable charting.

The U.S. Census Bureau: The US Census Bureau provides access to the world of United States census data. Their primary database is Data.census.gov for the Decennial Census, but they also include more targeted databases for the economic census, Bureau of Economic Analysis (BEA), United States Statistical Abstract, and a whole host of other data tools and apps. And don't forget the Census Academy for webinars and workshops for all your data learning needs.

Gallup - polling data: Gallup offers polling data from countries around the world. Users can access Gallup's U.S. Daily tracking and World Poll data to compare residents' responses region by region and nation by nation to questions on topics such as economic conditions, government and business, health and wellbeing, infrastructure, and education.

ICPSR: Inter-university Consortium for Political and Social Research: ICPSR is a membership-based, not-for-profit organization serving member colleges and universities by providing access to a large archive of machine-readable social science data, training facilities in basic and advanced techniques of quantitative social analysis, and resources that facilitate the use of advanced computer technology by social scientists. Their site provides a comprehensive list of ICPSR resources and services, information on membership and governance, links to national data archives affiliated with ICPSR, as well as ICPSR's newest offering, DataLumos, a crowd-sourced repository where users can deposit copies of valuable government data.

L2- political data: L2 provides a voter file for the United States. To create this file, L2 processes registered voter data on an ongoing basis for all 50 states and the District of Columbia, with refreshes of the underlying state voter data typically at least every six months and refreshes of telephone numbers and National Change of Address processing approximately every 30 to 60 days. These data are standardized and enhanced with propriety commercial data and modeling codes and consist of approximately 185,000,000 records nationwide forming the L2 Voter List. Access to the L2 Voter List at Stanford is offered in two ways - bulk data downloads (available upon request) or access through the L2 Voter Mapping tool (logins provided upon request). The bulk data downloads provided access to files for each state and the District of Columbia for all available fields and records (see the Data Dictionary for details). The L2 Voter Mapping tool provides an online, spatially-driven interface that allows users to create custom extracts and subsets using a series of query tools. These custom extracts can be exported in a variety of formats. For any questions about access, please contact Ashley Jester (ajester AT stanford DOT edu).

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