Integrated Data Collection System for Farm Structure Statistics

an integrated data collection system for farm n.w
1 / 9
Embed
Share

Enhance farm statistics with an integrated data collection system showcased at the NTTS Conference. Eurofarm 2020 aims to streamline data processes, reduce taxpayer costs, and support farmers. Discover how this system collects, processes, validates, and disseminates data efficiently, resulting in cost savings, higher quality, and improved user satisfaction.

  • Farm Statistics
  • Data Collection
  • Eurofarm 2020
  • NTTS Conference
  • Integrated System

Uploaded on | 0 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.

E N D

Presentation Transcript


  1. An integrated data collection system for farm structure statistics Conference on New Techniques and Technologies for Statistics (NTTS) J. Domingo Mart nez Solano Eurostat E1 Agriculture and fisheries 1

  2. IFS: Integrated Farm Statistics Eight data collections More than 10 million records Around 400 collected and 700 derived variables 2

  3. IFS: Eight integrated data collections Farm structure microdata (2022) Payments (2022) ADM (2019) Integrated Farm Statistics Coverage thresholds (2022) NSNE (2019) SO coefficients (2020) RSEs (2022) 3 AWU factors (2022)

  4. Goals of the project Eurofarm 2020 Create a semi-automated system to process, validate and disseminate farm structure statistics Integrate the various data collections Reduce burden to farmers and cost to taxpayers

  5. 1) Collect data New information data sources: Big data Administrative data Modelling 5

  6. 2) Process validate: Validation levels 6

  7. 2) Process validate: Project execution Planning Clear requests Exhaustive but not redundant testing Tracking progress Traceability 7

  8. 3) Disseminate: meeting user needs More combinations of variables Scientific use files Longer time series 8

  9. Results: Less costsand better quality Reduce burden to farmers and cost to taxpayers Higher quality Accuracy: Sistematically assess data Timeliness: Earlier publication of data as compared to previous periods Relevance: Meet more user needs Cost - effectiveness: Automated data processing and validation

More Related Content