Head of Horizontal Analysis Department

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Presentation transcript:

Head of Horizontal Analysis Department Data use in the policy making process from a research institute viewpoint Andras Molnar Head of Horizontal Analysis Department Conference of European Statistics Stakeholders Budapest, 2016.10.20-21.

Who we are… Collect&manage data Support polcicy making Member of the Official Statistical Service Perform statistical data collection: seed, feed, food processing capacity, machinery market, inputs Market price information Liaison Agency of Farm Accountancy Data Network (FADN) Place of extended data collection beyond EU obligations Administrative data Integrated administration and control system Electronic livestock registration Impact assessment of policy intervention/programs RDP CAP post 2020 modelling Research initiatives supporting legislation development Risk management, irrigation Spatial information Irrigation Climate-change

Current trends in data needs&use Increase ability to produce more detailed statistics Time series Data quality&consistency Less burden on data collection and up-to-date SOLUTIONS Use of multiple sources, data- warehousing Classification is the key to link different sources Complete data history Rules, codes, descriptions Efficiency in processing (engines, automatic)

103 Data Dimensions: Classifications Variable: Production Subject: Other Gainful Activity Unit: Quintals Type: Processing of cow’s milk 103 Year: 2015 ID: HU768.7.75195 <table letter>_<group>_<category>_<column>_<unit> L_PR_261_MD_Q

Challenges of data management Development of comparable/standard processes Promote central, „intelligent”, non-personal research ID to link different sources but keep anonymity Maintenance of classification Harmonization of quality frameworks Harmonization of legal requirements

Limits of simplification

Data Processing & Control Source Pre-Processing Staging ETL DWH ETL DM Data disclo-sure Dimension validation Measure validation History Attribute creation Aggre-gation Outlier control Classifi-cations Validation rules Classifi-cations Business rules Outlier rules Data management Source: WUR

Take home message Increasing needs of integrated data use Classification is the key! …and the process of IDM Usability: researchers will have to easily ‘construct’ their information (BI, documentation) Open data: is a challenge in terms of „marketing”… Data ownership ≠ Data use Technology is ready, legislation needs to follow!