1. DDA and metadata handling Questions Variables Study description Adresses Administrative data related to studies

2. DDA and metadata handling Questions: – Captured from questionnaires – manually, by cut & paste or using OCR – Using an internal standard – Saved as textfile – Included in final codebook

3. DDA and metadata handling Variables – Use scripts for converting from SPSS – Extract variable descriptions from SPSS – Store codebook as OSIRIS files

4. DDA and metadata handling Study description – Information from acquisition form – Information acquired through processing – Documentation from researchers, e.g. publications – From study administration: Contact address on researchers and their role Access control Study status

5. DDA and metadata handling Preservation – File system with restricted access: OSIRIS files and original files – Relational database: Study description Study related administrative data Identifier: DDAnumber = studyID

6. DDA and metadata handling Maintaining of variables: – Is seldom done. Requires new processing Maintaing of study description: – Done using proprietary systems updating data in database and adding new information e.g. about new publications or related studies

7. DDA and metadata handling Presentation – Web databases: selection of data for the Internet Used in the search interfaces: search catalogue, question bank and topic search – Study descriptions as prepared html-files – Codebooks as html-files and as pdf-files – Nesstar

8. DDA and metadata handling Software: – SAS – Proprietary applications Many classes developed - used for several applications – Stattransfer

9. DDA and metadata handling