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DIME PLUS

Citation
Abstract: 

A data repository on Congressional activity that extends the Database on Ideology, Money in Politics, and Elections (DIME) to cover detailed data on legislative voting, lawmaking, and political rhetoric. It includes data needed to replicate the analysis in "A Data-Driven Voter Guide for U.S. Elections: Adapting quantitative measures of the preferences and priorities of political elites to help voters learn about candidates".

Principal Investigator: 
Adam Bonica
How to Cite this Dataset: 

Bonica, Adam. 2016. DIME Plus. [Computer file]. Stanford, CA: Stanford University Libraries. ‹https://data.stanford.edu/dime-plus›.

Bonica, Adam. Forthcoming. ``A Data-Driven Voter Guide for U.S. Elections: Adapting quantitative measures of the preferences and priorities of political elites to help voters learn about candidates.'' Russell Sage Foundation Journal on Big Data and Political Economy

 

Contact Email: 
Description
Introduction: 

Congressional Text: (text_db.csv) A table of text documents from the Congressional Record, which contains transcripts of all proceedings, floor debates, and extensions of remarks for Congress. The text corpus was scraped from the GPO’s Federal Digital System (FDsys) before being parsed into separate documents. Each document can be linked to either a candidate in DIME or a bill or amendment contained in bill_db.csv.

Congressional Votes: (vote_db.csv) A table of Congressional roll call vote choices. Each row records an individual legislator’s vote on a specified roll call.

Congressional Bills and Amendments: (bills_db.csv) A table of bills and amendments introduced to Congress. Each row lists the name, unique identifier, and description of the bill alongside the list of sponsors and cosponsors.

 

Methodology/Sampling
Universe: 
Supplemental data extending the Database on Ideology. Money in Political, and Elections (DIME).
Type of data collection: 
Legislative text from the congressional record, Congressional roll call voting, Congressional legislation
Time span: 
2003-2014
Time of data collection: 
2015
Documentation
Data Download Link(s)
To view data file link(s), please agree to the following conditions: 
  1. The data I download from the Data Archive will not be used to identify individuals.
  2. I will not charge a fee for the data if I distribute it to others.
  3. I will inform the contact person for each dataset about work I do using their dataset. 
    (This helps us keep an accurate bibliography. See each data page for its contact email. )
  4. I will cite the data appropriately.
    (See each data page for its bibliographic citation.)
 
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