rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Handbook of Data Quality
    sub title: Research and Practice
  name:
    name part: Sadiq, Shazia.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 438 p. online resource.
  abstract: 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 e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects. Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well…
  table of contents: 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.
  note: edited by Shazia Sadiq.
  subject:
    topic: Computer science
  subject:
    topic: Management information systems
  subject:
    topic: File organization (Computer science)
  subject:
    topic: Database management
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Computer Science
  subject:
    topic: Database Management
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Management of Computing and Information Systems
  subject:
    topic: Files
  subject:
    topic: Business IT Infrastructure
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642362576
  identifier: http://dx.doi.org/10.1007/978-3-642-36257-6
  record info:
    record creation date: 130508
    record change date: 20151204151940.0
    record identifier: 978-3-642-36257-6