1. Multiple Indicator Cluster Surveys Data 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