Review of OpenStreetMap research publications from 2016 to 2019

This dataset consists of a review of research publications about the OpenStreetMap (OSM) project published from 2016 to 2019.

The dataset was obtained as follows. First, papers published between 2016 and 2019 were extracted using Google Scholar with a query identifying all records with at least one of the keywords “OpenStreetMap” and “OSM” in the title. The extracted records were further filtered to only keep papers having a minimum length of 4 pages and published in academic journals or conference proceedings. In addition, irrelevant papers (e.g. using “OSM” as an acronym for another purpose) and non-English papers were removed from the dataset. The remaining paper were then analyzed and manually classified.

The attributes included in the dataset are the following:

id [paper ID]

Paper Citation [citation of the paper]

Authors’ disciplines — multiplicity: 1-7; allowed values: computer science, informatics, social sciences, geo-information, engineering, exact sciences, interdisciplinary

Journal’s discipline — multiplicity: 1; allowed values: computer science, informatics, social sciences, geo-information, engineering, exact sciences, interdisciplinary

Topic(s) — multiplicity: 1:10; allowed values: application, data quality, contribution behaviours, analyzing contributions, contributors, shaping contributions, OSM effects, data enrichment, development, review

Authors' Geography (countries) — multiplicity: 1:n; allowed values: [list of countries]

Authors' Geography (continents) — multiplicity: 1:n; allowed values: [list of continents]

Study Area Geography (countries) — multiplicity: 1:n; allowed values: [list of countries], [list of continents], Global, NA

Geographic Correspondence— multiplicity: 1; allowed values: no correspondence, partial affiliation/partial location, partial affiliation/full location , full correspondence, NA

Perspective on the community — multiplicity: 1; allowed values: OSM as a data source, data produced by contributors, a collaborative project based on contributors, contributors producing data, a unified community, a diverse community, a social product

Evidence of engagement — multiplicity: 1-8; allowed values: none, acknowledgement, meaningful development, occasional development, object of study - direct, object of study - indirect, contribution, participation

General comments [comments on the paper]