THE METADATA MODEL AND DATA PRODUCTION PROCEDURES AND DISSEMINATION Marios Fridakis, Greek Social Data Bank at EKKE John Kallas, Greek Social Data Bank.

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THE METADATA MODEL AND DATA PRODUCTION PROCEDURES AND DISSEMINATION Marios Fridakis, Greek Social Data Bank at EKKE John Kallas, Greek Social Data Bank at EKKE IASSIST CONFERENCE May 2005

2 The metadata model has to meet the following requirements…  …for the data producer:  Support the documentation of ALL types of studies  …and the data provider:  The administration of all kinds of documents (studies, datasets, files, publications, questionnaires, projects)  The access control  The classification  References between documents  …has to be implemented on a relational database

The Entity Relationship Diagram (ERD) of the complete model

5 Types of studies  Simple study: Conducted only once for a fixed time point and a fixed universe (space).  Complex study  Repeated over time for fixed space (Repeated study)  Repeated over space for fixed time (Comparative study)  Repeated over space and time (Repeated / Comparative study)

6 A metadata (sub)model for the simple study

1

8 A metadata (sub)model for the complex study

10 The Documentation Objects (D.O.)

11 The schema of the D.O.’s

12 The access control USER_APR V DOCOBJ PUBLICATIONS FILESPROJECTS STUDIESDATASETS QUESTIONNAIRES ACCPRV KWRDS NOTES_D USERSUSERDEM REFERENCE S MN DOCOBJ_UDE M USER_UDE M DOCOBJ_APRV DOCOBJ_KWRDS NOTES_D_DOB MN MN M N MN M N N 1

13 The classification USER_APR V DOCOBJ PUBLICATIONS FILESPROJECTS STUDIESDATASETS QUESTIONNAIRES ACCPRV KWRDS NOTES_D USERSUSERDEM REFERENCE S MN DOCOBJ_UDE M USER_UDE M DOCOBJ_APRV DOCOBJ_KWRDS NOTES_D_DOB MN MN M N MN M N N 1

14 References between D.O.’s USER_APR V DOCOBJ PUBLICATIONS FILESPROJECTS STUDIESDATASETS QUESTIONNAIRES ACCPRV KWRDS NOTES_D USERSUSERDEM REFERENCE S MN DOCOBJ_UDE M USER_UDE M DOCOBJ_APRV DOCOBJ_KWRDS NOTES_D_DOB MN MN M N MN M N N 1

15 Why a relational database?  Complex queries may be written in SQL  Easier to query the whole metadata collection as one large and complex database, in spite of the fact that definitional metadata belong to specific and distinct studies.  RDBMS ‘s are mature and well supported systems.

16 General remarks and conclusions The metadata model…  …enhances the capabilities of DDI (ver. 2.0) by treating studies and datasets as separate entities, the dataset being the product of the study. Therefore, separate documentation should be produced for studies and datasets in the case that this becomes necessary.  …attempts to document both simple and complex studies. The former is a subset of the latter, thus simple and compound studies are documented under the same model schema.