Big data for the SDGs : country examples in compiling SDG indicators using non-traditional data sources
View/ Open
Date
2021Contributor/ s
Van Halderen, Gemma
Bernal, Irina
Sejersen, Tanja
Jansen, Ronald
Ploug, Niels
Truszczynski, Maciej
Corporate Author/ s
UN.ESCAP
Cite
Bibliographic Managers
RT Generic T1 Big data for the SDGs : country examples in compiling SDG indicators using non-traditional data sources A1 Van Halderen, Gemma, Bernal, Irina, Sejersen, Tanja, Jansen, Ronald, Ploug, Niels, Truszczynski, Maciej YR 2021 LK https://hdl.handle.net/20.500.12870/3442 PB United Nations AB To support implementation at all levels, the 2030 Agenda for Sustainable Development recognises the need to exploit the contribution to be made by a wide range of data including Earth observations and geospatial information. Five years on, there are few examples of countries exploiting non-traditional data sources for the global SDG monitoring framework. Furthermore, where examples do exist, they are making use of only two types of non-traditional data: Earth observations and geospatial information, and citizen-generated data. And in the case of citizen-generated data, only examples from one country (the Philippines) are found. Significantly, the examples found were all classified as experimental. This paper encourages countries to make more use of a wide range of data for addressing the data challenges of the 2030 Agenda for Sustainable Development. OL English(30) TY - GEN T1 - Big data for the SDGs : country examples in compiling SDG indicators using non-traditional data sources AU - Van Halderen, Gemma, Bernal, Irina, Sejersen, Tanja, Jansen, Ronald, Ploug, Niels, Truszczynski, Maciej Y1 - 2021 UR - https://hdl.handle.net/20.500.12870/3442 PB - United Nations AB - To support implementation at all levels, the 2030 Agenda for Sustainable Development recognises the need to exploit the contribution to be made by a wide range of data including Earth observations and geospatial information. Five years on, there are few examples of countries exploiting non-traditional data sources for the global SDG monitoring framework. Furthermore, where examples do exist, they are making use of only two types of non-traditional data: Earth observations and geospatial information, and citizen-generated data. And in the case of citizen-generated data, only examples from one country (the Philippines) are found. Significantly, the examples found were all classified as experimental. This paper encourages countries to make more use of a wide range of data for addressing the data challenges of the 2030 Agenda for Sustainable Development. @misc{20.500.12870_3442 author = {Van Halderen, Gemma, Bernal, Irina, Sejersen, Tanja, Jansen, Ronald, Ploug, Niels, Truszczynski, Maciej}, title = {Big data for the SDGs : country examples in compiling SDG indicators using non-traditional data sources}, year = {2021}, abstract = {To support implementation at all levels, the 2030 Agenda for Sustainable Development recognises the need to exploit the contribution to be made by a wide range of data including Earth observations and geospatial information. Five years on, there are few examples of countries exploiting non-traditional data sources for the global SDG monitoring framework. Furthermore, where examples do exist, they are making use of only two types of non-traditional data: Earth observations and geospatial information, and citizen-generated data. And in the case of citizen-generated data, only examples from one country (the Philippines) are found. Significantly, the examples found were all classified as experimental. This paper encourages countries to make more use of a wide range of data for addressing the data challenges of the 2030 Agenda for Sustainable Development.}, url = {https://hdl.handle.net/20.500.12870/3442} } @misc{20.500.12870_3442 author = {Van Halderen, Gemma, Bernal, Irina, Sejersen, Tanja, Jansen, Ronald, Ploug, Niels, Truszczynski, Maciej}, title = {Big data for the SDGs : country examples in compiling SDG indicators using non-traditional data sources}, year = {2021}, abstract = {To support implementation at all levels, the 2030 Agenda for Sustainable Development recognises the need to exploit the contribution to be made by a wide range of data including Earth observations and geospatial information. Five years on, there are few examples of countries exploiting non-traditional data sources for the global SDG monitoring framework. Furthermore, where examples do exist, they are making use of only two types of non-traditional data: Earth observations and geospatial information, and citizen-generated data. And in the case of citizen-generated data, only examples from one country (the Philippines) are found. Significantly, the examples found were all classified as experimental. This paper encourages countries to make more use of a wide range of data for addressing the data challenges of the 2030 Agenda for Sustainable Development.}, url = {https://hdl.handle.net/20.500.12870/3442} } TY - GEN T1 - Big data for the SDGs : country examples in compiling SDG indicators using non-traditional data sources AU - Van Halderen, Gemma, Bernal, Irina, Sejersen, Tanja, Jansen, Ronald, Ploug, Niels, Truszczynski, Maciej UR - https://hdl.handle.net/20.500.12870/3442 PB - United Nations AB - To support implementation at all levels, the 2030 Agenda for Sustainable Development recognises the need to exploit the contribution to be made by a wide range of data including Earth observations and geospatial information. Five years on, there are few examples of countries exploiting non-traditional data sources for the global SDG monitoring framework. Furthermore, where examples do exist, they are making use of only two types of non-traditional data: Earth observations and geospatial information, and citizen-generated data. And in the case of citizen-generated data, only examples from one country (the Philippines) are found. Significantly, the examples found were all classified as experimental. This paper encourages countries to make more use of a wide range of data for addressing the data challenges of the 2030 Agenda for Sustainable Development.Metadata
Show full item recordCountry/Region
Series/Journal Title
Statistics Division Working Paper Series
No. SD/WP/12/January 2021
No. SD/WP/12/January 2021
Area(s) of Work
UNBIST Subject
Abstract
To support implementation at all levels, the 2030 Agenda for Sustainable Development recognises the need to exploit the contribution to be made by a wide range of data including Earth observations and geospatial information. Five years on, there are few examples of countries exploiting non-traditional data sources for the global SDG monitoring framework. Furthermore, where examples do exist, they are making use of only two types of non-traditional data: Earth observations and geospatial information, and citizen-generated data. And in the case of citizen-generated data, only examples from one country (the Philippines) are found. Significantly, the examples found were all classified as experimental. This paper encourages countries to make more use of a wide range of data for addressing the data challenges of the 2030 Agenda for Sustainable Development.