Streamlining Canadian parliamentary data access: A user-friendly R package

Area of Science:

• Political Science
• Data Science
• Public Administration

Background:

• Government open data initiatives aim to increase transparency and facilitate research.
• Accessing datasets, particularly from parliamentary sources like Canada's House of Commons, presents significant methodological and empirical hurdles.
• The usability and accessibility of open government data are critical for effective research and policy analysis.

Purpose of the Study:

• To identify and address the challenges in accessing and utilizing government open data, specifically focusing on datasets from Canada's House of Commons.
• To develop and introduce an R package designed to streamline the retrieval of user-unfriendly datasets.
• To enhance the accessibility of Canadian government data by providing bilingual (French and English) and multi-format datasets.

Main Methods:

• Case study analysis of Canada's Open Government Action Plan and House of Commons datasets.
• Development of a novel R package for automated data retrieval and processing.
• Comparative analysis of dataset accessibility and usability before and after package implementation.

Main Results:

• The developed R package significantly simplifies the process of accessing and utilizing House of Commons datasets.
• Datasets are now available in both official languages (French and English) and multiple formats, improving accessibility for a wider research community.
• Three key lessons emerged: the need for flexibility with heterogeneous data, challenges faced by data curators, and a nuanced understanding of data 'openness'.

Conclusions:

• The R package serves as a valuable resource for researchers in Canadian politics and comparative studies.
• Open data initiatives require adaptable strategies to overcome data heterogeneity and curator challenges.
• A nuanced approach is essential for scaling open data accessibility, considering practical implementation complexities.