CBS News/60 Minutes/Vanity Fair National Poll, February #2, 2012 (ICPSR 34577)
CBS News/MTV Monthly Poll #3, May 2006 (ICPSR 4618)
CBS News/New York Times National Poll, May #1, 2011 (ICPSR 33963)
Center for Research on Social Reality [Spain] Survey, December 1992: Mass Media (ICPSR 6060)
Compilation of Middletown III and Middletown IV Data, 1977-1999 [Muncie, Indiana] (ICPSR 4604)
Eurobarometer 66.3: Social Reality, E-Communications, Common Agricultural Policy, Discrimination and the Media, and Medical Research, November-December 2006 (ICPSR 21523)
Eurobarometer 68.2: European Union Policy and Decision Making, Corruption, Civil Justice, E-Communications, Agriculture, and Environmental Protection, November 2007-January 2008 (ICPSR 25162)
Eurobarometer 81.1: Future of Europe, and E-Communications in the Household, January 2014 (ICPSR 36654)
The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.
This round of Eurobarometer surveys covers the following special topics: (1) The Future of Europe and (2) E-Communications in the Household. Respondents' opinions were collected regarding the state of the European Union, what important issues it currently faced, what they felt were the biggest assets of the EU, and how it should address global changes. Respondents were also questioned about ownership and use of communication devices such as mobile phones and computers. They were asked how these devices were provided with internet service, their data use and limits, difficulties with internet access, whether they had experienced blocking of content online, and the costs associated with internet service.
Demographic and other background information collected includes age, gender, nationality, marital status, occupation, age when stopped full-time education, household composition, ownership of a fixed or mobile telephone and other goods, difficulties in paying bills, level in society, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).
Personal Interview Transcripts for Research on Exploring Citizen Perspectives on Electronic Government-Citizen Relationships, January-May 2005 (ICPSR 20201)
A Systematic Analysis of Product Counterfeiting Schemes, Offenders, and Victims, 43 states and 42 countries, 2000-2015 (ICPSR 37177)
These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.
Product counterfeiting is the fraudulent reproduction of trademark, copyright, or other intellectual property related to tangible products without the authorization of the producer and motivated by the desire for profit. This study create a Product Counterfeiting Database (PCD) by assessing multiple units of analysis associated with counterfeiting crimes from 2000-2015: (1) scheme; (2) offender (individual); (3) offender (business); (4) victim (consumer); and (5) victim (trademark owner). Unique identification numbers link records for each unit of analysis in a relational database.
The collection contains 5 Stata files and 1 Excel spreadsheet file.
- Scheme-Data.dta (n=196, 35 variables)
- Offender-Individual-Data.dta (n=551, 16 variables)
- Offender-Business-Data.dta (n=310, 5 variables)
- Victim-Consumer-Data.dta (n=54, 8 variables)
- Victim-Trademark-Owner-Data.dta (n=146, 5 variables)
- Relational-Data.xlsx (4 spreadsheet tabs)