Subir material

Suba sus trabajos a SEDICI, para mejorar notoriamente su visibilidad e impacto

 

Mostrar el registro sencillo del ítem

dc.date.accessioned 2022-12-05T18:09:25Z
dc.date.available 2022-12-05T18:09:25Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/146884
dc.description.abstract Achieving the Sustainable Development Goals (SDGs) demands coping with the data revolution for sustainable development: the integration of new and traditional data to produce high-quality information that is detailed, timely, and relevant for multiple purposes and to a variety of users. The quality of this information, defined by its completeness, uniqueness, timeliness, validity, accuracy, and consistency, is crucial for appropriate decision making; which leads to improvements in advancing national development imperatives for reaching the goals and targets of the sustainable development agenda. In this paper, we posit that the more mature the organizations within the national data ecosystems are, the higher the quality of data that they produce. The paper motivates for the adoption and mainstreaming of organizational Capability Maturity Models within the SGDs activities. It also presents the preliminary formulation of a multidimensional prescriptive Capability Maturity Model to assess and improve the maturity of organizations within national data ecosystems and, therefore, the effective monitoring of the progress on the SDG targets through the production of better quality indicators data. Furthermore, the paper provides recommendation towards addressing the challenges within the increasingly data-driven domain of social indicators monitoring. en
dc.language en es
dc.subject Sustainable development goals es
dc.subject Capability maturity model es
dc.subject Data revolution es
dc.subject Institutional capacity es
dc.title Capability maturity models towards improved quality of the sustainable development goals indicators data en
dc.type Objeto de conferencia es
sedici.identifier.uri https://ieeexplore.ieee.org/abstract/document/8246989 es
sedici.creator.person Marcovecchio, Ignacio es
sedici.creator.person Thinyane, Mamello es
sedici.creator.person Estévez, Elsa Clara es
sedici.creator.person Fillottrani, Pablo Rubén es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2017-11
sedici.relation.event Kaleidoscope 2017: Challenges for a data-driven society (China, 27 al 29 de noviembre de 2017) es
sedici.description.peerReview peer-review es


Descargar archivos

Este ítem aparece en la(s) siguiente(s) colección(ones)

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)