Data

Because population research is data-intensive, our centers provide affiliates and their GSRs consulting, advice, assistance, and training in finding and optimizing the use of data sets and statistical software for data analysis, directly and in collaboration with other specialized units on campus.

Data Services

Data experts at Berkeley's D-Lab are available for consultation on a myriad of topics related to the identification and use of data.  They can help to:

  • Find suitable data sets for research, for example, which data set has both work and family career histories?
  • Prepare data into system-readable files for SPSS, SAS, STATA, or pooling multiple waves of panel studies.
  • Extract a subset of a larger data set.
  • Provide access to printed codebooks for reviewing ease. The D-lab has a library of printed codebooks of many datasets.
  • Prepare requests for and make accessible the use of US Census and survey private use micro-data.
  • Provide training workshops on data and research use.
  • Work with faculty who have their own data that they would like to make available to the research public.
  • Classes on software, e.g., Python, R, webscraping and so muh more.

The Berkeley Demography Department, together with CEDA, supports and makes publicly available a specialized dataset on human mortality, the Human Mortality Database (HMD).  Established by Professor John Wilmoth, the HMD contains mortality data for national populations including: Austria, England and Wales, France, Japan, Sweden, Chile, the United States and other countries with a high quality of mortality records.  Recent developments include cause-of-death and regional-level detail for selected countries.  The Berkeley Mortality Database is an older version of the HMD.

Data Sets

The Demography Department Computing Lab offers support for use of these data.

Data Collection

Dr. Leora Lawton will provide consulting on a variety of aspects of survey research: 

  • Sampling
  • Questionnaire design
  • Calculating a budget for data collection
  • Suitable vendors for data collection
  • Differences between mail, internet, phone and face-to-face methods
  • Various qualitative research practices, and mixed methods and multi-methods