ADAPT to SDGs: Advanced Data Planning Tool for Better Localization and Planning

 
ADAPT 
TO 
SDG
S
ADVANCED DATA PLANNING TOOL
 
François Fonteneau, PARIS21 Secretariat
4 December 2017
 
1.
Data mapping and SDGs: why it matters?
2.
ADAPT for SDG localization
3.
ADAPT for better SDG data planning
4.
Next steps
 
 
 
 
 
Content
 
DATA MAPPING AND
SDG
S
 :
WHY IT MATTERS ?
 
1
 
Respond to the (many) global calls
 
 
Statistical capacity and funding still low
 
Improve efficiency of data systems
 
Questions from NSO
“What are these new indicators which we need to produce, exactly?”
“ Does anyone produce them already in our country, somehow?”
“How good is our work plan / NSDS ?”
“Who should do what? Who will pay?”
Questions from Data planners
“Can’t they reuse existing data?”
“Can’t someone else pay the bill?”
“Is this really important to measure?”
 
 
ADAPT FOR
SDG
S
 LOCALIZATION
 
2
 
HOW ADAPT HELPS
Assess and visualize data gaps between supply and demand
Assess and visualize mapping between data demands: maps sectors and
subnational policies
Promote the re-use of existing data
Identify statistical capacity issues
Check the validity of the plans to improve stat capacity, and help improve,
and cost
 
=> Enables coordination and iterative planning
 
Localization of SDGs
 
How many SDGs indicators are applicable (and relevant) to my
country?
How many indicators are reflected in my National Policies indicators?
How many indicators are available today? For which sectors? Who
produce them? Who is supposed to do it?
What is the availability prospect / feasibility for the close future?
Check future plans for data sources
Check current status of funding / capacity availability
Which are the indicators requiring development?
 
! SDG localization critical to increase chances of national funding
 
 
 
 
Localization of SDGs
 
Countries are at the center of the process.
Consultative tool: allows sharing and updating of
information across stakeholders.
Uses multiple relational databases. This is vital for
iterative and incremental
 planning
Iterative over time and level of expertise
Incremental: division of labour (data supply/costing/QC)
ADAPT maintains global and regional searchable
indicator libraries
 
ADAPT eases the burden of planning for
reporting
 
Iterative & Incremental
Planning
 
ADAPT FOR BETTER
SDG DATA PLANNING
 
3
 
STEP 1: Check SDGs data gaps as of today
Applicable – Available = Requires Development
 
STEP 2: Check capacity gaps behind data gaps (GSBPM + CD4.0)
STEP 3: Check likelihood of data gaps for the future
 
STEP 4: 
Prioritize,
 propose scenarios and cost
 
STEP 5: Advocate, fund, implement, M&E
 
NSDS guidelines : 
http://nsdsguidelines.paris21.org/node/236
 
Planning for SDGs reporting: logical steps
 
ADAPT supports the e-NSDS
 
ADAPT allows the NSO to move from a static NSDS process to a dynamic 
e-NSDS
platform
Dynamic plans that are mapped: global (CTGAP, national, subnational, sectoral, etc)
Dynamic plans that are regularly monitored and reviewed.
Define activities in strategy
Input cost of activities
Monitor performance indicators
Assign to GAMSO or GSBPM
Assign to responsible implementer
 
ADAPT helps put things together
 
NEXT STEPS
 
4
 
Populate content and keep it up-to-date
New functionalities:
Import from data inventories
Assess admin data quality
Costing
Budgeting
Scenario planning and optimization
 
 
 
 
Areas requiring (joint) development
 
Enormous country demand
Approx. 15 NSOs worldwide use it
 
Endorsed by UNSD
    as an SDG readiness tool
UNDP in SDG localization
Other partners :
    GPSDD, MCC, UN ESCAP, UN SIAP, WB
 
TA plans for 2018
 
Working together to respond to TA needs
 
Thank you
 
www.paris21.org
Francois.Fonteneau@oecd.org
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Explore the importance of data mapping for SDGs, utilizing the ADAPT tool to enhance localization and improve data planning. This tool assists in responding to global calls, assessing statistical capacity, and enhancing data system efficiency. Learn how ADAPT aids in identifying gaps, mapping data demands, promoting data reuse, and improving statistical capacity. Enhance coordination and planning for sustainable development goals through effective data management.

  • Data Mapping
  • SDGs
  • Localization
  • Data Planning
  • Sustainable Development

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  1. ADAPT TO SDGS ADVANCED DATA PLANNING TOOL Fran ois Fonteneau, PARIS21 Secretariat 4 December 2017

  2. 2 Content 1. Data mapping and SDGs: why it matters? 2. ADAPT for SDG localization 3. ADAPT for better SDG data planning 4. Next steps

  3. 1 DATA MAPPING AND SDGS : WHY IT MATTERS ?

  4. 4 Respond to the (many) global calls

  5. 5 Statistical capacity and funding still low

  6. 6 Improve efficiency of data systems Questions from NSO What are these new indicators which we need to produce, exactly? Does anyone produce them already in our country, somehow? How good is our work plan / NSDS ? Who should do what? Who will pay? Questions from Data planners Can t they reuse existing data? Can t someone else pay the bill? Is this really important to measure?

  7. 2 ADAPT FOR SDGS LOCALIZATION

  8. 8 Localization of SDGs HOW ADAPT HELPS Assess and visualize data gaps between supply and demand Assess and visualize mapping between data demands: maps sectors and subnational policies Promote the re-use of existing data Identify statistical capacity issues Check the validity of the plans to improve stat capacity, and help improve, and cost => Enables coordination and iterative planning

  9. 9 Localization of SDGs How many SDGs indicators are applicable (and relevant) to my country? How many indicators are reflected in my National Policies indicators? How many indicators are available today? For which sectors? Who produce them? Who is supposed to do it? What is the availability prospect / feasibility for the close future? Check future plans for data sources Check current status of funding / capacity availability Which are the indicators requiring development? ! SDG localization critical to increase chances of national funding

  10. 10 ADAPT eases the burden of planning for reporting Iterative & Incremental Planning Countries are at the center of the process. Consultative tool: allows sharing and updating of information across stakeholders. Uses multiple relational databases. This is vital for iterative and incremental planning Iterative over time and level of expertise Incremental: division of labour (data supply/costing/QC) ADAPT maintains global and regional searchable indicator libraries

  11. 3 ADAPT FOR BETTER SDG DATA PLANNING

  12. 12 Planning for SDGs reporting: logical steps STEP 1: Check SDGs data gaps as of today Applicable Available = Requires Development STEP 2: Check capacity gaps behind data gaps (GSBPM + CD4.0) STEP 3: Check likelihood of data gaps for the future STEP 4: Prioritize, propose scenarios and cost STEP 5: Advocate, fund, implement, M&E NSDS guidelines : http://nsdsguidelines.paris21.org/node/236

  13. 13 ADAPT supports the e-NSDS platform Dynamic plans that are mapped: global (CTGAP, national, subnational, sectoral, etc) Dynamic plans that are regularly monitored and reviewed. e-NSDS ADAPT allows the NSO to move from a static NSDS process to a dynamic e-NSDS Define activities in strategy Assign to responsible implementer Input cost of activities Assign to GAMSO or GSBPM Monitor performance indicators

  14. 14 ADAPT helps put things together

  15. 4 NEXT STEPS

  16. 16 Areas requiring (joint) development Populate content and keep it up-to-date New functionalities: Import from data inventories Assess admin data quality Costing Budgeting Scenario planning and optimization

  17. 17 Working together to respond to TA needs Enormous country demand Approx. 15 NSOs worldwide use it Endorsed by UNSD as an SDG readiness tool UNDP in SDG localization Other partners : GPSDD, MCC, UN ESCAP, UN SIAP, WB TA plans for 2018

  18. 18 Thank you www.paris21.org Francois.Fonteneau@oecd.org

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