Every single word - A new dataset including all parliamentary materials published in Germany
Creators
- 1. University of Greifswald
- 2. Leuphana University Lüneburg
Description
Description
We introduce a unique dataset containing all written communication published by the German Bundestag between 1949 and 2017. Increasing numbers of scholars make use of protocols of parliamentary speeches, parliamentary questions, or the texts of legislative drafts in various fields of comparative politics including representation, responsiveness, professionalization and political careers, or parliamentary agenda studies. Since preparing parliamentary documents is rather resource intense, these studies remain limited to single points in time, types of documents and/or policy areas. The long time horizon and various types of documents covered by our new comprehensive dataset will enable scholars interested in parliaments, parties and representatives to answer various innovative research questions related to legislative studies. The dataset is about 1.1 GB large.
Files
counts_anfragen_all.csv
Files
(839 Bytes)
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md5:e9408177e4c8fb9005cb66548c41f66c
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Variables
| Name | Description |
|---|---|
| number | Running number |
| document_type | Original description of document type |
| leg_period | Legislative period, 1-18. |
| date | Date at which the document was submitted. |
| author_i_001 - author_i_009 | Name of author (institutions); the dataset includes documents jointly authored by up to nine distinct institutions. |
| author_mp_001 - author_mp_448 | Name of author (MPs); the dataset includes documents jointly authored by up to 448 MPs. |
| author_mp_id_001 - author_mp_id_448 | MP ID for Bergmann et al. (2018). |
| text | Plain text without meta and author information as well as headers. |
Details
| Resource type | Open dataset |
| Title | Every single word - A new dataset including all parliamentary materials published in Germany |
| Creators |
|
| Size | 1.1 GB |
| Formats | R Data .tab |
| License(s) | Creative Commons Zero v1.0 Universal |
| External Resource | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/7EJ1KI |