Evidence map›Paper›PMID 39052589›Full record

ArticlePloS one2024

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

Alexandre Millette

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Alexandre MilletteÉcole Nationale D'administration Publique (ÉNAP), Quebec City, Quebec, Canada.ORCID 0009-0001-2735-2589

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper focuses on the methodological and empirical challenges researchers encounter when accessing government open data through the case study of Canada's Open Government Action Plan, with a specific emphasis on datasets hosted by the House of Commons. To address these challenges, we have created an R package designed to streamline the retrieval process of datasets, that are not-so-user-friendly, from the House of Commons website. Furthermore, we have made complete datasets available in both French and English, which are the official languages of Canada, and in multiple formats to improve accessibility. Our package aims to be an invaluable resource for researchers interested in Canadian politics or conducting comparative research. Therefore, a portion of this paper is allocated to showcase the potential utility of our package. Through our research, we highlighted three crucial lessons: firstly, the heterogeneous nature of datasets requires flexibility and adaptability; secondly, open data curators encounter various challenges in addressing user-reported issues; and thirdly, there is a nuanced understanding of "openness" in government datasets. In conclusion, we reflect on the potential scalability of open data initiatives while advocating for a nuanced approach that considers the complex challenges associated with open data accessibility.

Indexed as

Access to InformationCanadaGovernmentHumansSoftware

Identifiers

PMID39052589
PMCPMC11271861

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.