Towards a knowledge base to support global change policy goals
In 2015, it was adopted the 2030 Agenda for Sustainable Development to end poverty, protect the planet and ensure that all people enjoy peace and prosperity. The year after, 17 Sustainable Development Goals (SDGs) officially came into force. In 2015, GEO (Group on Earth Observation) declared to supp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-02-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2018.1559367 |
| _version_ | 1797678561371357184 |
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| author | Stefano Nativi Mattia Santoro Gregory Giuliani Paolo Mazzetti |
| author_facet | Stefano Nativi Mattia Santoro Gregory Giuliani Paolo Mazzetti |
| author_sort | Stefano Nativi |
| collection | DOAJ |
| description | In 2015, it was adopted the 2030 Agenda for Sustainable Development to end poverty, protect the planet and ensure that all people enjoy peace and prosperity. The year after, 17 Sustainable Development Goals (SDGs) officially came into force. In 2015, GEO (Group on Earth Observation) declared to support the implementation of SDGs. The GEO Global Earth Observation System of Systems (GEOSS) required a change of paradigm, moving from a data-centric approach to a more knowledge-driven one. To this end, the GEO System-of-Systems (SoS) framework may refer to the well-known Data-Information-Knowledge-Wisdom (DIKW) paradigm. In the context of an Earth Observation (EO) SoS, a set of main elements are recognized as connecting links for generating knowledge from EO and non-EO data – e.g. social and economic datasets. These elements are: Essential Variables (EVs), Indicators and Indexes, Goals and Targets. Their generation and use requires the development of a SoS KB whose management process has evolved the GEOSS Software Ecosystem into a GEOSS Social Ecosystem. This includes: collect, formalize, publish, access, use, and update knowledge. ConnectinGEO project analysed the knowledge necessary to recognize, formalize, access, and use EVs. The analysis recognized GEOSS gaps providing recommendations on supporting global decision-making within and across different domains. |
| first_indexed | 2024-03-11T23:01:38Z |
| format | Article |
| id | doaj.art-7cb24093fe0d44e99003ae942863bf32 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:01:38Z |
| publishDate | 2020-02-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-7cb24093fe0d44e99003ae942863bf322023-09-21T14:57:08ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552020-02-0113218821610.1080/17538947.2018.15593671559367Towards a knowledge base to support global change policy goalsStefano Nativi0Mattia Santoro1Gregory Giuliani2Paolo Mazzetti3European Commission – DG Joint Research CentreNational research Council of Italy –Institute on Atmospheric research pollutionUniversity of Geneva, Institute for Environmental SciencesNational research Council of Italy –Institute on Atmospheric research pollutionIn 2015, it was adopted the 2030 Agenda for Sustainable Development to end poverty, protect the planet and ensure that all people enjoy peace and prosperity. The year after, 17 Sustainable Development Goals (SDGs) officially came into force. In 2015, GEO (Group on Earth Observation) declared to support the implementation of SDGs. The GEO Global Earth Observation System of Systems (GEOSS) required a change of paradigm, moving from a data-centric approach to a more knowledge-driven one. To this end, the GEO System-of-Systems (SoS) framework may refer to the well-known Data-Information-Knowledge-Wisdom (DIKW) paradigm. In the context of an Earth Observation (EO) SoS, a set of main elements are recognized as connecting links for generating knowledge from EO and non-EO data – e.g. social and economic datasets. These elements are: Essential Variables (EVs), Indicators and Indexes, Goals and Targets. Their generation and use requires the development of a SoS KB whose management process has evolved the GEOSS Software Ecosystem into a GEOSS Social Ecosystem. This includes: collect, formalize, publish, access, use, and update knowledge. ConnectinGEO project analysed the knowledge necessary to recognize, formalize, access, and use EVs. The analysis recognized GEOSS gaps providing recommendations on supporting global decision-making within and across different domains.http://dx.doi.org/10.1080/17538947.2018.1559367knowledge basefrom data to knowledgeessential variablessdgsgeossinteroperability sciencebig earth data |
| spellingShingle | Stefano Nativi Mattia Santoro Gregory Giuliani Paolo Mazzetti Towards a knowledge base to support global change policy goals International Journal of Digital Earth knowledge base from data to knowledge essential variables sdgs geoss interoperability science big earth data |
| title | Towards a knowledge base to support global change policy goals |
| title_full | Towards a knowledge base to support global change policy goals |
| title_fullStr | Towards a knowledge base to support global change policy goals |
| title_full_unstemmed | Towards a knowledge base to support global change policy goals |
| title_short | Towards a knowledge base to support global change policy goals |
| title_sort | towards a knowledge base to support global change policy goals |
| topic | knowledge base from data to knowledge essential variables sdgs geoss interoperability science big earth data |
| url | http://dx.doi.org/10.1080/17538947.2018.1559367 |
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