Multiple Indicator Cluster Surveys Data Dissemination and Further Analysis Workshop - PowerPoint PPT Presentation

hamlin
multiple indicator cluster surveys data dissemination and further analysis workshop n.
Skip this Video
Loading SlideShow in 5 Seconds..
Multiple Indicator Cluster Surveys Data Dissemination and Further Analysis Workshop PowerPoint Presentation
Download Presentation
Multiple Indicator Cluster Surveys Data Dissemination and Further Analysis Workshop

play fullscreen
1 / 17
Download Presentation
Multiple Indicator Cluster Surveys Data Dissemination and Further Analysis Workshop
110 Views
Download Presentation

Multiple Indicator Cluster Surveys Data Dissemination and Further Analysis Workshop

- - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

  1. Multiple Indicator Cluster SurveysData Dissemination and Further Analysis Workshop Data Archiving MICS4 Data Dissemination and Further Analysis Workshop

  2. Data archiving: rationale • Collecting data is expensive. Data should be used beyond producing basic report. • Survey microdata are valuable resources for government departments and academic researchers. • Survey data constitute valuable and irreplaceable assets which should be managed in a way that encourages their widest possible use and re-use. • At the same time, data collectors main focus should be protecting respondents while making microdata assessable.

  3. Role of MICS data archiving • Preservation • Documentation • Anonymization • Dissemination of microdata

  4. Why preserve data? • Availability for future analysis • Examples: • Able to examine trends if you have a series of datasets over time • Allows in-depth analysis of important subject areas

  5. Why document data? • Difficult to process without documentation • Impossible to analyze correctly • Data are useless without documentation • Also allows reuse of documents for future surveys

  6. Why anonimize data? • Protecting the confidentiality of survey respondents - not only because of legal and ethical mandates, but also because of the overall public perception that trust is an important contributor to data quality and response rates. • Protecting confidentiality necessitates some sort of data anonymization so that individual respondents can not be identified. • Finding balance between protecting the data and compromising its quality.

  7. Why disseminate data? • Allows wider use of data • Allows others to re-analyze data • may bring to light issues that may not have been picked up in the original processing. • Permits • cross-national comparison of data • further analysis of data • to be discussed later • Increases acceptability of data • Through transparency • Demonstrates confidence in survey

  8. Who do we disseminate to? • The real value of statistical data is in their use. • Other potential users of the data are: • National Policy-makers • International organizations • NGO’s • Academic community • Private enterprises • Others?

  9. What do users expect? • Well documented data • Comprehensive • Clear, consistent, easy to use data • Information to be able to • Fully understand the survey, especially • Sample design, selection and weighting • Field procedures • Data processing • Datasets • Accurately analyze and use data

  10. What to Archive and Disseminate? • Reports • Tabulations • Documentation • Datasets & data descriptions • DevInfo databases • Wallcharts? • Factsheets? • Press releases?

  11. What to save from MICS? • Questionnaires • Interviewer’s & field manuals • Sampling information • Sample selection & listing information • Reports • Other documentation • And lots more!!

  12. What to save? • Datasets: • Household • Household listing • Women • Children

  13. What to save? • Programmes • Data entry & menu systems • Secondary editing & menu systems • Export & recoding • Tabulation programs • Other data processing files

  14. When to archive? • Start archiving when you start the survey • Typically, datasets are documented after completion of the survey

  15. How do users access data? Types of data • Indicators • DevInfo, other databases, … • Tables, Graphs, Maps • Reports, excel files, DevInfo gallery, … • Datasets • Etc. • Formats • Print • CD-Rom/DVD • Web • Etc. • But how to get the data? • Online • Write to data producers • Conditions on access? • Freely available or restricted?

  16. MICS4 Data Dissemination and Further Analysis Workshop

  17. Current status of data archives • Progress made • Planned timelines • Need for additional support