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Modernisation Committee on Production and
Methods
Plans for 2016
Priority topics / future ideasMachine learning
1. Review of ML techniques currently in use or in consideration at statistical agencies worldwide, including tools (see 5 below).
2. Study on ML for automatic coding3. Study on ML for data cleaning, editing and
outlier detection 4. Study on ML for record linkage (synergies
with the CULT project)5. Software tools for ML, particularly open
source (R and Python).
Priority topics / future ideas
Methodology architecture (MA)◦Benefits of a MA will be documented
For methodologists, management, IT partners Scope of sound methods, including future
needs Governance / communication tool
◦A common layered model will be proposed
◦Link to Business Architecture will be made
◦Link to IT Architecture will be made◦Methodology gaps will be addressed
Priority topics / future ideasNext Generation Data
Management1. Describe the next generation of data storage
opportunities and semantic metadata2. Identify the activities being undertaken by
NSOs3. Explore the business drivers for investing in
these new technologies4. Establish some preliminary business
requirements which may assist NSOs in engaging with vendors
5. Support and champion the Data Integration project proposed for 2016 (if selected)
Priority topics / future ideas
CSPA◦ Actively take on a champion role for CSPA,
specifically the principles and intent, encouraging implementation and adoption across the statistical modernization community and within our individual agencies.
Dependent on current proposals under consideration by HLG
◦ Support of proposed governance arrangements for CSPA
◦ Support for the proposed CSPA themed workshop in June 2016.
Priority topics / future ideas
Event in 2016◦Workshop focused on CSPA support and
implementation
Challenges
More involvement of methodologistsSupport to 2016 HLG projects
◦to be decided on Wednesday
Promotion and communication of work and outputs
