04. Methods: Characterising Studies - dataandcrowd/VGI GitHub Wiki

Study Characteristics

SPIDER
Sample	Under-represented groups
Phenomenon of Interest	More contribution in crowdsourced mapping
Design	Survey, questionnaire, case study
Evaluation	Create diverse outcomes
Research Type	Mixed

Database

• Web of Science
• SCOPUS
• ScienceDirect
• Microsoft Academia

Search Options

• Filtering period: 2000-2020
• Language: English
• Type (published in a peer-reviewed journal): Journal Article, Book Chapter
• Reference: Cochrane Handbook
• Guideline: the University of Tasmania Library here

Key concepts	Under-represented groups (Sample)	Mapping Diversity (POI)	VGI (Design)	Sample bias (Evaluation)	OpenStreetMap (Research Type)
	Marginalised groups	Contribution	Crowdsourcing	Demographic bias	OSM
	Disadvantaged groups	Equal	PPGIS (public participation GIS)	Geo-demography	Web map
	Barriers	Inequality	PGIS (Participatory GIS)	Expertise	Online mapping
	Incomplete representation	Counter-mapping	Citizen Science	Expert (vs.)	User generated content
	Inclusivity	Armchair mapping	Participatory	Ordinary	GeoWeb
	Exclusivity		Neogeography	New registered mapper
	Vulnerable Discounted		User-generated content	Digital literacy
	Discriminated		Collaborative mapping
	Silent		Community-driven
	Disproportion		Bottom-up approach
			Non-authoritative mapping
			Democratising participation
			Crowd-solving Crowd-voting
-----	-----	-----	-----	----	----
Controlled vocabulary terms				Language bias
				Gender bias
				Age
				Income
				Ethnicity
				Nationality
				Social class
				Geography

Output

• Text Mining
• Statistics
• Maps