Handbook of Data Quality Research and Practice /

The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Sadiq, Shazia (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Research and Practice in Data Quality Management
  • Data Quality Management Past, Present, and Future: Towards a Management System for Data
  • Data Quality Projects and Programs
  • On the Evolution of Data Governance in Firms: The Case of Johnson & Johnson Consumer Products North America
  • Cost and Value Management for Data Quality
  • Data Warehouse Quality: Summary and Outlook
  • Using Semantic Web Technologies for Data Quality Management
  • Data Glitches: Monsters in your Data
  • Generic and Declarative Approaches to Data Quality Management
  • Linking Records in Complex Context
  • A Practical Guide to Entity Resolution with OYSTER
  • Managing Quality of Probabilistic Databases
  • Data Fusion: Resolving Conflicts from Multiple Sources
  • Ensuring the Quality of Health Information: The Canadian Experience
  • Shell’s Global Data Quality Journey
  • Creating an Information Centric Organisation Culture at SBI General Insurance
  • Epilogue: The Data Quality Profession.