Skip to main content
SpringerLink
Log in

Towards the Use of Crowdsourced GIS Data to Georeference Child Well-Being Globally

  • Published:
Social Indicators Research Aims and scope Submit manuscript

Abstract

Child well-being is described as a social problem, such that in most cases social indicators defined by experts are used, without much input from local and heterogeneous communities. This article makes the case for an innovative way to monitor and explore child well-being globally, while also critiquing currently used indices. Based on Nussbaum’s Capabilities approach, we propose to formulate indices by using GIS and a comprehensive list of relevant geospatial datasets, using uniquely designed meta-layers and feature catalogues. Moreover, we argue that these geospatial data can be collected and mapped by the local communities, through participatory approaches, thus not relying on authoritative engagement and data. This will contribute to the empowerment of communities, making them relevant stakeholders with valued contribution to the process. This paper outlines preliminary work related to concepts and ideas, whereas future work is planned to develop an elaborate and comprehensive GIS model, and conduct further spatial analysis in the framework of a small scale campaign.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Source: www.openstreetmap.org

Fig. 2

Similar content being viewed by others

References

  • Adamson, P. (2013). Child well-being in rich countries: A comparative overview. Florence, Italy: UNICEF Office of Research.

    Google Scholar 

  • Ariffin, I., Solemon, B., Anwar, R. M., Din, M. M., & Azmi, N. N. (2014). Exploring the potentials of volunteered geographic information as a source for spatial data acquisition. In IOP conference series: Earth and environmental science (Vol. 20, No. 1, p. 012041). IOP Publishing.

  • Arsanjani, J. J., Mooney, P., Zipf, A., & Schauss, A. (2015). Quality assessment of the contributed land use information from OpenStreetMap versus authoritative datasets. In J. J. Arsanjani, A. Zipf, P. Mooney, & M. Helbich (Eds.), OpenStreetMap in GIScience (pp. 37–58). Berlin: Springer.

    Google Scholar 

  • Ben-Arieh, A. (2012). How do we measure and monitor the “state of our children”? Children and Youth Services Review, 34, 569–575.

    Article  Google Scholar 

  • Biggs, P. (Ed.). (2016). The state of broadband 2016: Broadband catalyzing sustainable development. International Telecommunication Union (ITU) and Broadband Commission for Sustainable Development. Retrieved from https://www.itu.int/dms_pub/itu-s/opb/pol/S-POL-BROADBAND.17-2016-PDF-E.pdf. Accessed July 9, 2017.

  • Bourdillon, M. (2014). Neglected dimensions of child well-being. Children’s Geographies, 12(4), 497–503. doi:10.1080/14733285.2014.953315.

    Article  Google Scholar 

  • Brown, G., & Kyttä, M. (2014). Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research. Applied Geography, 46, 122–136.

    Article  Google Scholar 

  • Chawla, L. (2002). Cities for human development. In L. Chawla (Ed.), Growing up in an urbanising world (pp. 15–34). London: Earthscan Publications/UNESCO Publishing.

    Google Scholar 

  • Chitiyo, M. (2014). Challenges affecting the education of children in Zimbabwe. Childhood Education, 90(6), 414–417. doi:10.1080/00094056.2014.982971.

    Article  Google Scholar 

  • Crampton, J. W. (2009). Cartography: Maps 2.0. Progress in Human Geography, 33(1), 91–100.

    Article  Google Scholar 

  • Estellés-Arolas, E., & González-Ladrón-De-Guevara, F. (2012). Towards an integrated crowdsourcing definition. Journal of Information Science, 38(2), 189–200.

    Article  Google Scholar 

  • Feick, R., & Roche, S. (2013). Understanding the value of VGI. In D. Sui, S. Elwood, & M. Goodchild (Eds.), Crowdsourcing geographic knowledge (pp. 15–29). Netherlands: Springer.

    Chapter  Google Scholar 

  • Fernandes, L., Mendes, A., & Teixeira, A. (2013). A weighted multidimensional index of child well-being which incorporates children’s individual perceptions. Social Indicators Research, 114(3), 803–829. doi:10.1007/s11205-012-0174-x.

    Article  Google Scholar 

  • Freeman, C., van Heezik, Y., Stein, A., & Hand, K. (2016). Technological inroads into understanding city children’s natural life-worlds. Children’s Geographies, 14(2), 158–174. doi:10.1080/14733285.2015.1126552.

    Article  Google Scholar 

  • Gao, H., Barbier, G., & Goolsby, R. (2011). Harnessing the crowdsourcing power of social media for disaster relief. IEEE Intelligent Systems, 26(3), 10–14.

    Article  Google Scholar 

  • Goodchild, M. F. (2007). Citizens as sensors: The world of volunteered geography. GeoJournal, 69(4), 211–221.

    Article  Google Scholar 

  • Haklay, M., Antoniou, V., Basiouka, S., Soden, R., & Mooney, P. (2014). Crowdsourced geographic information use in government. Report to GFDRR (World Bank). Retrieved from https://www.gfdrr.org/sites/gfdrr/files/publication/Crowdsourced%20Geographic%20Information%20Use%20in%20Government.pdf. Accessed July 9, 2017.

  • Hill, M., Laybourn, A., & Borland, M. (1996). Engaging with primary-aged children about their emotions and well-being: Methodological considerations. Children and Society, 10(2), 129–144. doi:10.1111/j.1099-0860.1996.tb00463.x.

    Article  Google Scholar 

  • Jarvis, C. H., Kraftl, P., & Dickie, J. (2017). (Re)Connecting spatial literacy with children’s geographies: GPS, Google Earth and children’s everyday lives. Geoforum, 81, 22–31. doi:10.1016/j.geoforum.2017.02.006.

    Article  Google Scholar 

  • Kirton, D. (2012). The care and protection of children. In J. Baldock, N. Manning, & S. Vickerstaff (Eds.), Social policy (pp. 316–340). Oxford: Oxford University Press.

    Google Scholar 

  • Lippman, L. H. (2007). Indicators and indices of child well-being: A brief American history. Social Indicators Research, 83, 39–53. doi:10.1007/s11205-006-9058-2.

    Article  Google Scholar 

  • McCowan, T. (2011). Human rights, capabilities and the normative basis of ‘Education for All’. Theory and Research in Education, 9, 283–298.

    Google Scholar 

  • McLaren, R. (2011). Crowdsourcing support of land administration: A partnership approach. FIG-Commission 7 meeting. Retrieved from https://www.fig.net/resources/monthly_articles/2011/december_2011/Robin%20McLaren%20Paper%20Cadastre%202%200%20Innsbruck%20Conference%2002092011%20v3.pdf. Accessed July 9, 2017.

  • Melton, G. B. (1991). Preserving the dignity of children around the world: The U.N. Convention on the Rights of the Child. Child Abuse and Neglect, 15(4), 343–350. doi:10.1016/0145-2134(91)90019-A.

    Article  Google Scholar 

  • National Research Council (NRC). (1993). Toward a coordinated spatial data infrastructure for the national. Washington, DC: National Academics Press.

    Google Scholar 

  • Newman, G., Graham, J., Crall, A., & Laituri, M. (2011). The art and science of multi-scale citizen science support. Ecological Informatics, 6(3), 217–227.

    Article  Google Scholar 

  • Nussbaum, M. (2000). Women and human development: The capabilities approach, The John Robert Seeley lectures. Cambridge, NY: Cambridge University Press.

    Book  Google Scholar 

  • Nussbaum, M. (2003). Capabilities as fundamental entitlements: Sen and social justice. Feminist Economics, 9(2/3), 33.

    Article  Google Scholar 

  • Olteanu-Raimond, A. M., Hart, G., Foody, G. M., Touya, G., Kellenberger, T., & Demetriou, D. (2016). The scale of VGI in map production: A perspective on European National Mapping Agencies. Transactions in GIS, 21(1), 74–90.

    Article  Google Scholar 

  • Pollard, E. L., & Lee, P. D. (2003). Child well-being: A systematic review of the literature. Social Indicators Research, 61, 59–78.

    Article  Google Scholar 

  • Robertson, S. L. (2012). Researching global education policy: Angles in/on/out. In A. Verger, M. Novelli, & H. K. Altinyelken (Eds.), Global education policy and international development: New agendas, issues and policies (pp. 33–51). London: Bloomsbury Academic.

    Google Scholar 

  • Robinson, C. J., Maclean, K., Hill, R., Bock, E., & Rist, P. (2016). Participatory mapping to negotiate indigenous knowledge used to assess environmental risk. Sustainability Science, 11(1), 115.

    Article  Google Scholar 

  • Save the Children. (2008). The child development index: Holding governments to account for children’s wellbeing. London: The Save the Children Fund. Retrieved from http://www.savethechildren.org.uk/sites/default/files/docs/child-development-index.pdf. Accessed 13 Nov 2016.

  • Siriba, D. N., & Dalyot, S. (2017). Adoption of volunteered geographic information into the formal land administration system in Kenya. Land Use Policy, 63, 279–287.

    Article  Google Scholar 

  • Smith, K., Barrett, C. B., & Box, P. W. (2000). Participatory risk mapping for targeting research and assistance: With an example from East African pastoralists. World Development, 28(11), 1945–1959.

    Article  Google Scholar 

  • Steiner, H., & Alston, P. (2000). International human rights in context: Law, politic, morals. UK: Oxford University Press.

    Google Scholar 

  • Tulloch, D. (2007). Many, many maps: Empowerment and online participatory mapping. First Monday, 12(2). Retrieved from http://firstmonday.org/issues/issue12_2/tulloch/index.html.

  • Wireless World Research Forum. (2016). 5G Huddle: Making the vision a reality. Retrieved from http://euems.com/event_images/Downloads/5G%20Huddle%20Conference%20Report.pdf. Accessed July 9, 2017.

  • World Bank Databank. http://data.worldbank.org. Accessed November 13, 2016.

  • Zook, M., Graham, M., Shelton, T., & Gorman, S. (2010). Volunteered geographic information and crowdsourcing disaster relief: A case study of the Haitian earthquake. World Medical and Health Policy, 2(2), 7–33.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Education in Science and Technology, Technion - Israel Institute of Technology, 32000, Haifa, Israel

    Keren Dalyot

  2. The Academic College at Wingate, Natanya, Israel

    Keren Dalyot

  3. Faculty of Civil and Environmental Engineering, Technion - Israel Institute of Technology, Room 727, Rabin Building, 32000, Haifa, Israel

    Sagi Dalyot

Authors
  1. Keren Dalyot
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sagi Dalyot
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Keren Dalyot.

Appendix: School Feature Catalogue

Appendix: School Feature Catalogue

Spatial Object Type: School

 

Title:

School

Definition:

The School feature is a geometric entity that represents the geographic location of a school property.

Description:

The School feature represents a single observation/estimation of a school property/object, including a series of corresponding attributes and metadata.

Type:

Spatial Object Type (Point)

Attribute:

 

 Name:

schoolName

 Definition:

Given name of school object

 Mandatory:

True

 Multiplicity:

1

 Value type:

Text

Attribute:

 

 Name:

edctLevel

 Definition:

Education level of studies in school

 Mandatory:

True

 Multiplicity:

1…3

 Value type:

edctLevelValue (enumeration)

 Values:

Preprimary (early childhood education)

 

Primary (first stage of (compulsory) basic education)

 

Secondary (second and final phase of basic education)

 

Tertiary (educational level following the completion of secondary education)

Attribute:

 

 Name:

Charges

 Definition:

The amount the school charges

 Mandatory:

No

 Multiplicity:

0..1

 Value type:

Short Integer

Attribute:

 

 Name:

isCmptrs

 Definition:

Are there computers in school

 Mandatory:

No

 Multiplicity:

0…1

 Value type:

Boolean

Attribute:

 

 Name:

Religion

 Definition:

Is the school associated with a specific religion

 Mandatory:

No

 Multiplicity:

0…3

 Value type:

religionNameValue (enumeration)

 Values:

None

 

Christian

 

Hindu

 

Muslim

 

Buddhist

Attribute:

 

 Name:

isNrishing

 Definition:

Does the school provides pupils/students with nourishing (feeding)

 Mandatory:

No

 Multiplicity:

0…1

 Value type:

Boolean

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dalyot, K., Dalyot, S. Towards the Use of Crowdsourced GIS Data to Georeference Child Well-Being Globally. Soc Indic Res 139, 185–204 (2018). https://doi.org/10.1007/s11205-017-1714-1

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11205-017-1714-1

Keywords

Search

Navigation