Citizen science interactions with official geospatial information; Case studies from Mexico

被引:3
作者
Jacquin, Celine [1 ]
Merodio Gomez, Paloma [1 ]
Arriaga, Vivian [2 ]
Santiago, Andrea [1 ]
机构
[1] Natl Inst Stat & Geog, Governing Board & Presidency, Vice Presidency Geog Informat Environm Terr & Urb, Mexico City, Mexico
[2] Arizona State Univ, Res Aide Knowledge Exchange Resilience, Phoenix, AZ USA
关键词
citizen science; crowdsourcing; Mexico; 2030; agenda; geospatial information; volunteered geographic information (VGI); official cartography; land uses changes; QUALITY;
D O I
10.3389/fenvs.2022.800247
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents an overview of the integration of participatory processes in the production of official data. Through a series of interviews with strategic stakeholders we identified the key elements to institutionalize citizen science in the production of geospatial information. This article discusses practical contexts of uses of data produced or complemented by citizens in Mexico. We analyze institutional processes that facilitates or make difficult the integration into official mechanisms for generating more accurate cartographic information in various institutions, focusing on its possible adoption, in particular by the National Institute of Statistics and Geography (INEGI) of Mexico. Resources, data integration models, workflows, and an organizational structure are needed to benefit from citizen science. We find that the adoption of citizen science within an organization is subject to a well-defined and structured interest driven by leadership and implemented collectively. This presents a paradigm shift in obtaining information, citizen science as official data through concrete and functional information products will allow end users to benefit from timely and accurate data. The purpose of this article is then to generate organizational knowledge on how to use citizen science in public institutions, with long-term perspective, to mediate the lack of current and accurate spatial data and participate in social innovation.
引用
收藏
页数:17
相关论文
共 21 条
[1]   The Crowd is the Territory: Assessing Quality in Peer-Produced Spatial Data During Disasters [J].
Anderson, Jennings ;
Soden, Robert ;
Keegan, Brian ;
Palen, Leysia ;
Anderson, Kenneth M. .
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2018, 34 (04) :295-310
[2]  
Brabham D. C., 2013, CROWD SOURCING
[3]  
Brovelli M.A., 2020, Manual of digital earth, P593, DOI [DOI 10.1007/978-981-32-9915-3, 10.1007/978-981-32-9915-3]
[4]   The potential for citizen science to produce reliable and useful information in ecology [J].
Brown, Eleanor D. ;
Williams, Byron K. .
CONSERVATION BIOLOGY, 2019, 33 (03) :561-569
[5]   Burnout in Social Justice and Human Rights Activists: Symptoms, Causes and Implications [J].
Chen, Cher Weixia ;
Gorski, Paul C. .
JOURNAL OF HUMAN RIGHTS PRACTICE, 2015, 7 (03) :366-390
[6]  
Dufeal M., 2016, ECCE CARTO ESPACES C, P5319
[7]   Mapping citizen science contributions to the UN sustainable development goals [J].
Fraisl, Dilek ;
Campbell, Jillian ;
See, Linda ;
Wehn, Uta ;
Wardlaw, Jessica ;
Gold, Margaret ;
Moorthy, Inian ;
Arias, Rosa ;
Piera, Jaume ;
Oliver, Jessica L. ;
Maso, Joan ;
Penker, Marianne ;
Fritz, Steffen .
SUSTAINABILITY SCIENCE, 2020, 15 (06) :1735-1751
[8]   Citizen science and the United Nations Sustainable Development Goals [J].
Fritz, Steffen ;
See, Linda ;
Carlson, Tyler ;
Haklay, Mordechai ;
Oliver, Jessie L. ;
Fraisl, Dilek ;
Mondardini, Rosy ;
Brocklehurst, Martin ;
Shanley, Lea A. ;
Schade, Sven ;
Wehn, Uta ;
Abrate, Tommaso ;
Anstee, Janet ;
Arnold, Stephan ;
Billot, Matthew ;
Campbell, Jillian ;
Espey, Jessica ;
Gold, Margaret ;
Hager, Gerid ;
He, Shan ;
Hepburn, Libby ;
Hsu, Angel ;
Long, Deborah ;
Maso, Joan ;
McCallum, Ian ;
Muniafu, Maina ;
Moorthy, Inian ;
Obersteiner, Michael ;
Parker, Alison J. ;
Weissplug, Maike ;
West, Sarah .
NATURE SUSTAINABILITY, 2019, 2 (10) :922-930
[9]  
Graham M., 2015, DIGITAL DIVISIONS LA
[10]   Automatic analysis of positional plausibility for points of interest in OpenStreetMap using coexistence patterns [J].
Kashian, Alireza ;
Rajabifard, Abbas ;
Richter, Kai-Florian ;
Chen, Yiqun .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 33 (07) :1420-1443