Presentation on the mandate by Gerhardt Bouwer of Statistics South Africa

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Transcript Presentation on the mandate by Gerhardt Bouwer of Statistics South Africa

Working Group on Energy Data
Dissemination Practices
Presentation on the mandate
Gerhardt Bouwer
Statistics South Africa
Oslo Group on Energy Statistics, 10th meeting
11 May 2016
The South Africa I know, the home I understand
Background
The South Africa I know, the home I understand
Background
Stats SA was involved in the following Oslo group meetings
Feb 2006
Feb 2008
May 2011
1st
3rd
6th meeting
meeting
Feb 2007
2nd
meeting
meeting
May 2014
9th meeting
The South Africa I know, the home I understand
Background
9th Oslo Group meeting, 5-8 May 2014
• Main object to discuss various topics related to energy data, such as:
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Energy prices
The use of administrative data sources
The collection of data on renewable energy
Electronic data collection
Data dissemination
Quality reviews of energy data
• Suggestion was made to establish a working group to discuss energy data
dissemination
• South Africa was the discussant at the dissemination session and the
country was tasked to take the lead of the workgroup
The South Africa I know, the home I understand
Mandate and work plan on energy data
dissemination practices
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
The importance of energy statistics dissemination
• Energy data dissemination fulfils the responsibility of a fundamental
principle of official statistics:
“Official statistics … are to be compiled and made available on an impartial basis by
official statistical agencies to honour citizens' entitlement to public information”
• Energy statistics are disseminated in various forms and through different
dissemination channels and media platforms
• A dissemination policy ensures the following issues are addressed:
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Scope of the data for public dissemination
Reference period and data dissemination schedule
Data revision policy
Dissemination formats
Dissemination of metadata and data quality reports
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
The importance of energy statistics dissemination
• The dissemination policy should be user oriented, reaching and serving all
kinds of users and provide quality information
• A good understanding of the user needs are essential
• The user satisfaction survey is an important tool to detect user needs and
profiles
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Statistical confidentiality
It is important to consider the scope of data which can be publically
disseminated:
• Statistical confidentiality should be upheld through the protection of
respondent information against any breach of the right to confidentiality
through unlawful disclosers of the data
• Legal provisions governing statistical confidentiality for each country
should be considered
• Application of confidentiality rules should be done in a way to promote
access to data while maintaining confidentiality
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Data dissemination and statistical confidentiality
South African Statistics Act (Act 6 of 1999)
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Timeliness, reference period and dissemination timetable
• Announcing in advanced the precise dates at which various series of
energy statistics will be released
• The advanced released schedule should be posted at the beginning of the
year on the agency’s website
• It is important to take the following into account:
– Timing of the collection of the initial data by various source agencies
– The extent to which data derived from the major data sources is subject to revision
– Timing of preparation of important national economic policy documents that need
energy statistics as inputs
– Modes of data dissemination
• In order to improve timeliness, a statistical agency should assess
punctuality in terms of (1) production time, (2) frequency of release, and
(3) punctuality of release
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Timeliness, reference period and dissemination timetable
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Data revision
• Provisional data should be revised when new and more accurate
information becomes available
• The two types of revisions are as follows:
– Routine, normal or concurrent revisions which form part of the regular statistical
production process
– Special revisions which do not form part of the regular revision schedule
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Dissemination formats
• Dissemination of energy statistics to a wide variety of users increases the
awareness and trust
• The chosen dissemination format should suit the users’ needs
• Energy statistics should be made available electronically and maintained
by the responsible agency
• Social media platforms give organisations access to a wide spectrum of
users on a daily basis
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
SASQAF
• Stats SA defines quality data according to South African Statistical Quality
Assessment Framework (SASQAF)
• Eight dimensions provide a benchmark against which statistics will be
measured:
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Relevance
Accuracy
Timeliness
Accessibility
Interpretability
Coherence
Methodological soundness
Integrity
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
South African National Statistics System (SANSS)
• The objective of SANSS is to transform all national statistics into official
statistics
• Even though Stats SA is the statutory organ of state for official statistics, it
is a part of the NSS, and not the other way around. The SANSS includes all
the producers of statistics across government
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Dissemination formats: Publications available in hard copy format
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Dissemination formats: Publications in PDF format and data available for
download
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Dissemination formats: Social media
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Dissemination formats: Summary articles / data stories
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Dissemination formats: Infographics
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Dissemination formats: Roambi (for Apple devices)
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
Dissemination formats: Mobile app
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
The Oslo Group will focus on:
• Promoting the improvement of energy data dissemination practises by
further developing recommendations
• Address procedures to disseminate energy statistics. Examples include:
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Data confidentiality and suppression
Timeliness and accuracy
Reference period and dissemination schedule
Data availability
The challenges of using administrative data
Issues relating to electronic dissemination
Quality of data: enhancing confidence and trust in official statistics
The South Africa I know, the home I understand
Mandate and work plan on energy data dissemination practices
The Oslo Group will focus on:
• Availability and ease of use of metadata for the users
• Broadening access to data and reducing barriers to access
• Disclosure control is part of the statistical process
– Confidentiality of data disseminated
– At what aggregated/disaggregated level can data be disseminated
The South Africa I know, the home I understand