Skip to main content

Meta Data Repository

  • Living reference work entry
  • First Online:
Encyclopedia of Database Systems
  • 114 Accesses

Synonyms

Meta data base; Meta data management system; Meta data manager; Meta data registry

Definition

A meta data repository (MDR) is a component which manages meta data. In the context of database systems, one example of meta data is information about the database schema, i.e., a description of the data. In addition, MDRs can manage information about the processes which create, use, or update the data, the hardware components that host these processes or the database system, or other (human) resources which make use of the data [6]. As meta data is also data, meta data repositories offer the same functionality for meta data as database management systems (DBMS) for data, e.g., queries, updates, transactions, access control.

Moreover, as meta data is semantically rich data, MDRs often employ object-oriented data models as the basis for the definition of meta data. MDRs should also offer predefined meta models for different types of meta data, so that the user is able to store meta...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Recommended Reading

  1. Bauer A, Günzel H, editors. Data-Warehouse-Systeme: Architektur, Entwicklung, Anwendung. Heidelberg: dpunkt-Verlag; 2001.

    Google Scholar 

  2. Bernstein PA. Repositories and object oriented databases. ACM SIGMOD Rec. 1998;27(1):88–96.

    Article  Google Scholar 

  3. Bernstein PA, Halevy AY, Pottinger R. A vision for management of complex models. ACM SIGMOD Rec. 2000;29(4):55–63.

    Article  Google Scholar 

  4. Bernstein PA, Melnik S. Model management 2.0: manipulating richer mappings. In: Proceedings of the ACM SIGMOD international conference on management of data. 2007. p. 1–12.

    Google Scholar 

  5. Blechar M. IT Metadata Repository Magic Quadrant Update 2002. Gartner, Inc., 2002.

    Google Scholar 

  6. ISO/IEC Information technology – Information Resource Dictionary System (IRDS) Framework. International Standard ISO/IEC 10027:1990, DIN Deutsches Institut für Normung, e.V., 1990.

    Google Scholar 

  7. Jarke M, Lenzerini M, Vassiliou Y, Vassiliadis P. Fundamentals of data warehouses. Berlin: Springer; 2000.

    Book  MATH  Google Scholar 

  8. Jarke M, Vassiliou Y. Foundations of data warehouse quality – a review of the DWQ project. In: Proceedings of the 2nd international conference information quality. 1997. p. 299-313.

    Google Scholar 

  9. Jeusfeld MA, Jarke M, Nissen HW, Staudt M. ConceptBase – Managing conceptual models about information systems. In: Bernus P, Mertins K, Schmidt G, editors. Handbook on architectures of information systems. Berlin: Springer; 1998. p. 265–85.

    Chapter  Google Scholar 

  10. Tayi GK, Ballou DP. Examining data quality. Commun ACsM. 1998;41(2):54–7.

    Article  Google Scholar 

  11. Wikipedia – The Free Encyclopedia IDMS (Integrated Database Management System). Article in the encyclopedia, URL http://en.wikipedia.org/wiki/IDMS, 2008.

  12. Wikipedia – The Free Encyclopedia. Metadata. Article in the encyclopedia, URL http://en.wikipedia.org/wiki/Metadata, 2008.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christoph Quix .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media LLC

About this entry

Cite this entry

Quix, C. (2016). Meta Data Repository. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_909-2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_909-2

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics