HES Data Management Ari Haukijärvi. Planning of HES Data Management Purpose of the data management The data will be available for analysis The available.

HES Data Management

Ari Haukijärvi

Planning of HES Data Management

• Purpose of the data management• The data will be available for analysis• The available data are

• Complete• Correct• Verifiable• Secure


• Purpose of the data management• The data will be available for analysis• The available data are

• Complete• Correct• Verifiable• Secure

• From the beginning - part of the general survey planning


• Including all phases of the survey:

• Sampling

Sampling

= Output/ Workflow

= Data transfer/ Data storage

Sampling data

PSUStratum

Sampling weightSubject ID

Address, etc.

= Function

= Data/ Samples

HESwork and data flow

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• Sampling

Sampling

National HESdatabase

= Output/ Workflow


Sampling data

PSUStratum


Address, etc.

= Function

= Data/ Samples






• Sampling• Recruitment and scheduling appointments

Sampling


= Output/ Workflow


Schedulingappoinments

Contact / Re-contactRecruitment

Sampling data

PSUStratum


Address, etc.

= Function

= Data/ Samples







Sampling


= Output/ Workflow




Sampling data

PSUStratum


Address, etc.

Data onparticipation

Data onappointment

schedules

= Function

= Data/ Samples







Sampling


= Output/ Workflow




Sampling data

PSUStratum


Address, etc.


Data onappointment

schedules

= Function

= Data/ Samples






• Sampling• Recruitment and scheduling appointments• Survey data collection• Quality control data

Fieldwork

Questionnaire/Interview

Physicalmeasurements

Laboratorysampling

Sampling


= Output/ Workflow




Sampling data

PSUStratum


Address, etc.


Data onappointment

schedules

= Function

= Data/ Samples







Fieldwork



Laboratorysampling

Sampling


= Output/ Workflow




Sampling data

PSUStratum


Address, etc.


Data onappointment

schedules

Fieldwork Surveydata

= Function

= Data/ Samples







Fieldwork



Laboratorysampling

Sampling


= Output/ Workflow




Sampling data

PSUStratum


Address, etc.


Data onappointment

schedules


= Function

= Data/ Samples

Samples







Fieldwork



Laboratorysampling

Sampling


= Output/ Workflow




Sampling data

PSUStratum


Address, etc.


Data onappointment

schedules


= Function

= Data/ Samples

Samples







Fieldwork



Laboratorysampling

Sampling

Samplecontrol

Reception,Storage,Forward


= Output/ Workflow




Sampling data

PSUStratum


Address, etc.


Data onappointment

schedules


Samplecontrol

data

= Function

= Data/ Samples

Samples







Fieldwork



Laboratorysampling

Sampling

Samplecontrol

Reception,Storage,Forward


= Output/ Workflow




Laboratoryanalysis

Sampling data

PSUStratum


Address, etc.


Data onappointment

schedules


Laboratoryanalysis data

Samplecontrol

data

= Function

= Data/ Samples

Samples






• Sampling• Recruitment and scheduling appointments• Survey data collection• Quality control data• Survey data analysis


• What information to be recorded in each phase

• How the information will be recorded and stored

• By whom the information will be recorded and stored


Example 1. Sampling information

• Sampling frame• PSU/SSU• Stratum• Demographic group• Sampling weight• Subject ID• Address (contact) information• Additional information (age, sex, etc.)


Example 2. Recruitment and scheduling

information • Subject ID• Contact information (address, phone number, etc.)• Recruitment information

• Eligibility status• Number and type of contact attempts• Partitipation status• Reason for non-participation

• Appointment information (time, place, etc.)


National HES database

• Created and maintained in each country• Central data storage for:

• Sampling data on each survey respondent• Individual level data on the questionnaires and HES

measurements• Information on the quality of the data

• Used for evaluating the survey• Used for analysing the survey results• Available (operational) in each survey phase


Survey data collection

• Computer-assisted data collection• Interviewing data• Measurements data• Includes automatic built-in data checks• Planning and testing of data management for the

fieldwork (computers, software, network, etc. used)


Survey data collection

• Computer-assisted data collection• Interviewing data• Measurements data• Includes automatic built-in data checks• Planning and testing of data management for the

fieldwork (computers, software, network, etc. used)

• Using paper forms• Keying the data into electronic format


Data transfer/import into the HES database

• Data transfer techniques:• Internet• Disks• Other



• Data transfer techniques:• Internet• Disks• Other

• User interface to import the data:• Web application• PC client application• Other (e.g. direct import from data files)




• Data security:• Confidentiality

• Access control and auditing• Data encryption





• Integrity• Data check (always before import into database)






• Availability• Back-up of the data• System recovery







• Transfer via a secure data transfer system







• Transfer via a secure data transfer system• Logging the data transfers


National HES data management and EHES RC


HES Data Management Ari Haukijärvi. Planning of HES Data Management Purpose of the data management The data will be available for analysis The available.

Documents

sampling data

available data

data files

testing of data management

hes database data security

auditing data encryption

data system recovery

automatic builtin data