A statistical quality assurance framework for the United Nations

Reister, Matthias; MacFeely, Steve; Me, Angela; Hereward, Mark; Schweinfest, Stefan; Warschburger, Sabine

doi:10.3233/sji-220014

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…Thus, the use of new data sources, including citizen science data may be the catalyst that forces to the surface a debate on the precise role or mandate and methods of international official statistics vis-à-vis the new dataverses and the new opportunities for the production of international statistics. Reister et al ( 97 ) argue that this is a debate many might prefer not to have but it is hard to see how it can be avoided for much longer with the rapid changes in the data and statistics world. A subset of this debate has been shaped around the insistence that only data provided by member states should be used in the compilation of SDG indicators ( 98 ).…”

Section: Discussionmentioning

confidence: 99%

“…This constraint complicates any discussion around the use of new data sources. Assuming the political barriers can be dealt with, some technical sureties will also be required to ensure that the impartiality and quality of any citizen science data are robust ( 97 , 99 ). It is important that any standards applied to citizen science or any other new data sources are proportionate and do act as barriers to entry.…”

Section: Discussionmentioning

confidence: 99%

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Citizen science for monitoring the health and well-being related Sustainable Development Goals and the World Health Organization’s Triple Billion Targets

Fraisl

See

Estevez

et al. 2023

Front. Public Health

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Achieving the health and well-being related Sustainable Development Goals (SDGs) and the World Health Organization’s (WHO) Triple Billion Targets depends on informed decisions that are based on concerted data collection and monitoring efforts. Even though data availability has been increasing in recent years, significant gaps still remain for routine surveillance to guide policies and actions. The COVID-19 crisis has shown that more and better data and strengthened health information systems are needed to inform timely decisions that save lives. Traditional sources of data such as nationally representative surveys are not adequate for addressing this challenge alone. Additionally, the funding required to measure all health and well-being related SDG indicators and Triple Billion Targets using only traditional sources of data is a challenge to achieving efficient, timely and reliable monitoring systems. Citizen science, public participation in scientific research and knowledge production, can contribute to addressing some of these data gaps efficiently and sustainably when designed well, and ultimately, could contribute to the achievement of the health and well-being related SDGs and Triple Billion Targets. Through a systematic review of health and well-being related indicators, as well as citizen science initiatives, this paper aims to explore the potential of citizen science for monitoring health and well-being and for mobilizing action toward the achievement of health and well-being related targets as outlined in the SDG framework and Triple Billion Targets. The results demonstrate that out of 58 health and well-being related indicators of the SDGs and Triple Billion Targets covered in this study, citizen science could potentially contribute to monitoring 48 of these indicators and their targets, mostly at a local and community level, which can then be upscaled at a national level with the projection to reach global level monitoring and implementation. To integrate citizen science with official health and well-being statistics, the main recommendation is to build trusted partnerships with key stakeholders including National Statistical Offices, governments, academia and the custodian agencies, which is mostly the WHO for these health and well-being related targets and indicators.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Citizen science for monitoring the health and well-being related Sustainable Development Goals and the World Health Organization’s Triple Billion Targets

Fraisl

See

Estevez

et al. 2023

Front. Public Health

Self Cite

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“…The SQAF provides a common framework and methodology for assessing and enhancing data quality across different entities. However, given the evolving data landscape, there is a growing recognition that the SQAF may need to be updated to incorporate new dimensions arising from the use of big data, citizen science data, and geospatial data [47].…”

Section: Data Qualitymentioning

confidence: 99%

Driving Excellence in Official Statistics: Unleashing the Potential of Comprehensive Digital Data Governance

Hassani,

MacFeely

2023

BDCC

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With the ubiquitous use of digital technologies and the consequent data deluge, official statistics faces new challenges and opportunities. In this context, strengthening official statistics through effective data governance will be crucial to ensure reliability, quality, and access to data. This paper presents a comprehensive framework for digital data governance for official statistics, addressing key components, such as data collection and management, processing and analysis, data sharing and dissemination, as well as privacy and ethical considerations. The framework integrates principles of data governance into digital statistical processes, enabling statistical organizations to navigate the complexities of the digital environment. Drawing on case studies and best practices, the paper highlights successful implementations of digital data governance in official statistics. The paper concludes by discussing future trends and directions, including emerging technologies and opportunities for advancing digital data governance.

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Possibilities and limits of modelling of long-range economic consequences of air pollution – A case study

Lakner,

Popp,

Oláh

et al. 2024

Heliyon

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A statistical quality assurance framework for the United Nations

Cited by 3 publications

References 3 publications

Citizen science for monitoring the health and well-being related Sustainable Development Goals and the World Health Organization’s Triple Billion Targets

Citizen science for monitoring the health and well-being related Sustainable Development Goals and the World Health Organization’s Triple Billion Targets

Driving Excellence in Official Statistics: Unleashing the Potential of Comprehensive Digital Data Governance

Possibilities and limits of modelling of long-range economic consequences of air pollution – A case study

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