Page 190 - Special Topic Session (STS) - Volume 2

STS479 Ola A.
modernized National Statistical System (NSS) is mainly described from PCBS
case:
 Enhancing institutionalised national statistical system (NSS), PCBS
developed a statistical national strategy 2018-2022; which links statistical
programs to national agendas and priorities of SDGs and improving the
statistical system environment, investing in administrative records, and IT
infrastructure.
 Adapting and applying the Cape Town Global Action Plan especially
the objectives; “Strengthen national statistical systems and the
coordination role of national statistical offices”, “Modernize governance
and institutional frameworks to allow national statistical systems to meet
the demands and opportunities of constantly evolving data ecosystems”,
and “Modernize statistical standards, particularly those aimed to facilitate
data integration and automation of data exchange across different stages
of the statistical production process”.
 Stakeholder’s Engagement as a Tool of Modernization of the
Statistical System, the importance of stakeholders' engagement comes
from their roles and responsibilities in developing the NSS, in relation to
different dimensions:
- Sustainability: Assure an institutionalized culture of statistics, increase
Frequency, coverage, and timeliness .
2
- Financing: Reducing cost of data collection based on fieldwork surveys,
resilience to the exogenous agenda of donors.
- Human resources: Through interaction, sharing experience, reduce
labor intensive in data collection and response burden.
- Technology: Harnessing the power of technology to enhance a solid
statistical infrastructure
- Stakeholder’s scope: Inclusion of new players such as the media,
academia, and private sector.
 Platforms as an important mean for data dissemination and
monitoring, according to Dubai declaration, the key factors of platforms
where determined as: First with data Interoperability, which “addresses the
ability of systems and services that create, exchange and consume data to
have clear, shared expectations for the contents, context and meaning of
that data” , and it is considered as one characteristics of good quality data.
3
Open Data, which assure the transparency in all process of producing and
dissemination, methodologies, metadata and access.

2 UNECE. (2016). Using Administrative and Secondary Sources for Official Statistics.
3 Data Interoperability Standards Consortium
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