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ACM journal of data and information quality
ACM journal of data and information quality
Pubbl/distr/stampa New York, N.Y., : Association for Computing Machinery
Disciplina 004
Soggetto topico Database management - Quality control
Databases - Quality control
Electronic data processing - Quality control
Management information systems - Quality control
Bases de données - Gestion - Qualité - Contrôle
Bases de données - Qualité - Contrôle
Informatique - Qualité - Contrôle
Systèmes d'information de gestion - Qualité - Contrôle
Soggetto genere / forma Periodicals.
ISSN 1936-1963
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti JDIQ
Record Nr. UNISA-996548964303316
New York, N.Y., : Association for Computing Machinery
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
ACM journal of data and information quality
ACM journal of data and information quality
Pubbl/distr/stampa New York, N.Y., : Association for Computing Machinery
Disciplina 004
Soggetto topico Database management - Quality control
Databases - Quality control
Electronic data processing - Quality control
Management information systems - Quality control
Bases de données - Gestion - Qualité - Contrôle
Bases de données - Qualité - Contrôle
Informatique - Qualité - Contrôle
Systèmes d'information de gestion - Qualité - Contrôle
Soggetto genere / forma Periodicals.
ISSN 1936-1963
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti JDIQ
Record Nr. UNINA-9910375862303321
New York, N.Y., : Association for Computing Machinery
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Improving bibliographic records for the Alaska region in the integrated resource management applications data store : final project report / / Steven P. Johnson, Julianna E. Braund-Allen
Improving bibliographic records for the Alaska region in the integrated resource management applications data store : final project report / / Steven P. Johnson, Julianna E. Braund-Allen
Autore Johnson Steven P.
Pubbl/distr/stampa Fort Collins, Colorado : , : U.S. Department of the Interior, National Park Service, Natural Resource Stewardship and Science, , 2014
Descrizione fisica 1 online resource (v, 15 pages)
Collana Natural resource report
Soggetto topico Databases - Quality control
Cataloging - Quality control
Natural resources - Databases
Natural resources - Bibliography - Methodology
Data editing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Improving bibliographic records for the Alaska region in the integrated resource management applications data store
Record Nr. UNINA-9910715176403321
Johnson Steven P.  
Fort Collins, Colorado : , : U.S. Department of the Interior, National Park Service, Natural Resource Stewardship and Science, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
ISO/IEC 8802-2:1998 ANSI/IEEE Std 802.2 IEEE International Standard for Information technology . Part 2 ; : Telecommunications and information exchange between systems : Local and metropolitan area networks : Specific requirements / / IEEE
ISO/IEC 8802-2:1998 ANSI/IEEE Std 802.2 IEEE International Standard for Information technology . Part 2 ; : Telecommunications and information exchange between systems : Local and metropolitan area networks : Specific requirements / / IEEE
Edizione [1998 edition (Incorporating ANSI/IEEE Stds 802.2c-1997, 802.2f-1997, and 802.2h-1997).]
Pubbl/distr/stampa New York : , : IEEE, , 1998
Descrizione fisica 1 online resource (256 pages)
Disciplina 004.68
Soggetto topico Local area networks (Computer networks)
Information technology
Databases - Quality control
Metropolitan area networks (Computer networks)
ISBN 0-7381-0293-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti 8802-2-1998 - IEEE International Standard for Information technology -- Telecommunications and information exchange between systems -- Local and metropolitan area networks -- Specific requirements -- Part 2
ISO/IEC 8802-2
Record Nr. UNINA-9910318353403321
New York : , : IEEE, , 1998
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
ISO/IEC 8802-2:1998 ANSI/IEEE Std 802.2 IEEE International Standard for Information technology . Part 2 ; : Telecommunications and information exchange between systems : Local and metropolitan area networks : Specific requirements / / IEEE
ISO/IEC 8802-2:1998 ANSI/IEEE Std 802.2 IEEE International Standard for Information technology . Part 2 ; : Telecommunications and information exchange between systems : Local and metropolitan area networks : Specific requirements / / IEEE
Edizione [1998 edition (Incorporating ANSI/IEEE Stds 802.2c-1997, 802.2f-1997, and 802.2h-1997).]
Pubbl/distr/stampa New York : , : IEEE, , 1998
Descrizione fisica 1 online resource (256 pages)
Disciplina 004.68
Soggetto topico Local area networks (Computer networks)
Information technology
Databases - Quality control
Metropolitan area networks (Computer networks)
ISBN 0-7381-0293-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti 8802-2-1998 - IEEE International Standard for Information technology -- Telecommunications and information exchange between systems -- Local and metropolitan area networks -- Specific requirements -- Part 2
ISO/IEC 8802-2
Record Nr. UNISA-996577945403316
New York : , : IEEE, , 1998
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Measuring data quality for ongoing improvement [[electronic resource] ] : a data quality assessment framework / / Laura Sebastian-Coleman
Measuring data quality for ongoing improvement [[electronic resource] ] : a data quality assessment framework / / Laura Sebastian-Coleman
Autore Sebastian-Coleman Laura (Data quality author and practitioner)
Edizione [1st edition]
Pubbl/distr/stampa Waltham, Mass., : Elsevier, 2013
Descrizione fisica 1 online resource (404 p.)
Disciplina 005.7/3
Collana The Morgan Kaufmann Series on Business Intelligence
Soggetto topico Data structures (Computer science)
Databases - Quality control
Soggetto genere / forma Electronic books.
ISBN 1-283-93318-7
0-12-397754-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Measuring Data Quality for Ongoing Improvement; Copyright Page; Contents; Acknowledgments; Foreword; Author Biography; Data Quality Measurement: the Problem we are Trying to Solve; Introduction: Measuring Data Quality for Ongoing Improvement; Recurring Challenges in the Context of Data Quality; Definitions of Data Quality; Expectations about Data; Risks to Data; The Criticality of Metadata and Explicit Knowledge; The Business/Information Technology Divide; Data Quality Strategy; DQAF: the Data Quality Assessment Framework
Overview of Measuring Data Quality for Ongoing Improvement Section One: Concepts and Definitions; Section Two: DQAF Overview; Section Three: Data Assessment Scenarios; Section Four: Applying the DQAF to Data Requirements; Section Five: Data Quality Strategy; Section Six: the DQAF in Depth; Intended Audience; What Measuring Data Quality for Ongoing Improvement Does Not Do; Why I Wrote Measuring Data Quality for Ongoing Improvement; 1: Concepts and Definitions; 1 Data; Purpose; Data; Data as Representation; The Implications of Data's Semiotic Function; Semiotics and Data Quality; Data as Facts
Data as a Product Data as Input to Analyses; Data and Expectations; Information; Concluding Thoughts; 2 Data, People, and Systems; Purpose; Enterprise or Organization; IT and the Business; Data Producers; Data Consumers; Data Brokers; Data Stewards and Data Stewardship; Data Owners; Data Ownership and Data Governance; IT, the Business, and Data Owners, Redux; Data Quality Program Team; Stakeholder; Systems and System Design; Concluding Thoughts; 3 Data Management, Models, and Metadata; Purpose; Data Management; Database, Data Warehouse, Data Asset, Dataset
Source System, Target System, System of Record Data Models; Types of Data Models; Physical Characteristics of Data; Metadata; Metadata as Explicit Knowledge; Data Chain and Information Life Cycle; Data Lineage and Data Provenance; Concluding Thoughts; 4 Data Quality and Measurement; Purpose; Data Quality; Data Quality Dimensions; Measurement; Measurement as Data; Data Quality Measurement and the Business/IT Divide; Characteristics of Effective Measurements; Measurements must be Comprehensible and Interpretable; Measurements must be Reproducible; Measurements must be Purposeful
Data Quality Assessment Data Quality Dimensions, DQAF Measurement Types, Specific Data Quality Metrics; Data Profiling; Data Quality Issues and Data Issue Management; Reasonability Checks; Data Quality Thresholds; Process Controls; In-line Data Quality Measurement and Monitoring; Concluding Thoughts; 2: DQAF Concepts and Measurement Types; 5 DQAF Concepts; Purpose; The Problem the DQAF Addresses; Data Quality Expectations and Data Management; The Scope of the DQAF; DQAF Quality Dimensions; Completeness; Timeliness; Validity; Consistency; Integrity; The Question of Accuracy
Defining DQAF Measurement Types
Record Nr. UNINA-9910463018203321
Sebastian-Coleman Laura (Data quality author and practitioner)  
Waltham, Mass., : Elsevier, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Measuring data quality for ongoing improvement : a data quality assessment framework / / Laura Sebastian-Coleman
Measuring data quality for ongoing improvement : a data quality assessment framework / / Laura Sebastian-Coleman
Autore Sebastian-Coleman Laura (Data quality author and practitioner)
Edizione [1st edition]
Pubbl/distr/stampa Waltham, Mass., : Elsevier, 2013
Descrizione fisica 1 online resource (xxxix, 324, 39 pages) : color illustrations
Disciplina 005.7/3
Collana The Morgan Kaufmann Series on Business Intelligence
Soggetto topico Data structures (Computer science)
Databases - Quality control
ISBN 1-283-93318-7
0-12-397754-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Measuring Data Quality for Ongoing Improvement; Copyright Page; Contents; Acknowledgments; Foreword; Author Biography; Data Quality Measurement: the Problem we are Trying to Solve; Introduction: Measuring Data Quality for Ongoing Improvement; Recurring Challenges in the Context of Data Quality; Definitions of Data Quality; Expectations about Data; Risks to Data; The Criticality of Metadata and Explicit Knowledge; The Business/Information Technology Divide; Data Quality Strategy; DQAF: the Data Quality Assessment Framework
Overview of Measuring Data Quality for Ongoing Improvement Section One: Concepts and Definitions; Section Two: DQAF Overview; Section Three: Data Assessment Scenarios; Section Four: Applying the DQAF to Data Requirements; Section Five: Data Quality Strategy; Section Six: the DQAF in Depth; Intended Audience; What Measuring Data Quality for Ongoing Improvement Does Not Do; Why I Wrote Measuring Data Quality for Ongoing Improvement; 1: Concepts and Definitions; 1 Data; Purpose; Data; Data as Representation; The Implications of Data's Semiotic Function; Semiotics and Data Quality; Data as Facts
Data as a Product Data as Input to Analyses; Data and Expectations; Information; Concluding Thoughts; 2 Data, People, and Systems; Purpose; Enterprise or Organization; IT and the Business; Data Producers; Data Consumers; Data Brokers; Data Stewards and Data Stewardship; Data Owners; Data Ownership and Data Governance; IT, the Business, and Data Owners, Redux; Data Quality Program Team; Stakeholder; Systems and System Design; Concluding Thoughts; 3 Data Management, Models, and Metadata; Purpose; Data Management; Database, Data Warehouse, Data Asset, Dataset
Source System, Target System, System of Record Data Models; Types of Data Models; Physical Characteristics of Data; Metadata; Metadata as Explicit Knowledge; Data Chain and Information Life Cycle; Data Lineage and Data Provenance; Concluding Thoughts; 4 Data Quality and Measurement; Purpose; Data Quality; Data Quality Dimensions; Measurement; Measurement as Data; Data Quality Measurement and the Business/IT Divide; Characteristics of Effective Measurements; Measurements must be Comprehensible and Interpretable; Measurements must be Reproducible; Measurements must be Purposeful
Data Quality Assessment Data Quality Dimensions, DQAF Measurement Types, Specific Data Quality Metrics; Data Profiling; Data Quality Issues and Data Issue Management; Reasonability Checks; Data Quality Thresholds; Process Controls; In-line Data Quality Measurement and Monitoring; Concluding Thoughts; 2: DQAF Concepts and Measurement Types; 5 DQAF Concepts; Purpose; The Problem the DQAF Addresses; Data Quality Expectations and Data Management; The Scope of the DQAF; DQAF Quality Dimensions; Completeness; Timeliness; Validity; Consistency; Integrity; The Question of Accuracy
Defining DQAF Measurement Types
Record Nr. UNINA-9910786101103321
Sebastian-Coleman Laura (Data quality author and practitioner)  
Waltham, Mass., : Elsevier, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Measuring data quality for ongoing improvement : a data quality assessment framework / / Laura Sebastian-Coleman
Measuring data quality for ongoing improvement : a data quality assessment framework / / Laura Sebastian-Coleman
Autore Sebastian-Coleman Laura (Data quality author and practitioner)
Edizione [1st edition]
Pubbl/distr/stampa Waltham, Mass., : Elsevier, 2013
Descrizione fisica 1 online resource (xxxix, 324, 39 pages) : color illustrations
Disciplina 005.7/3
Collana The Morgan Kaufmann Series on Business Intelligence
Soggetto topico Data structures (Computer science)
Databases - Quality control
ISBN 1-283-93318-7
0-12-397754-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Measuring Data Quality for Ongoing Improvement; Copyright Page; Contents; Acknowledgments; Foreword; Author Biography; Data Quality Measurement: the Problem we are Trying to Solve; Introduction: Measuring Data Quality for Ongoing Improvement; Recurring Challenges in the Context of Data Quality; Definitions of Data Quality; Expectations about Data; Risks to Data; The Criticality of Metadata and Explicit Knowledge; The Business/Information Technology Divide; Data Quality Strategy; DQAF: the Data Quality Assessment Framework
Overview of Measuring Data Quality for Ongoing Improvement Section One: Concepts and Definitions; Section Two: DQAF Overview; Section Three: Data Assessment Scenarios; Section Four: Applying the DQAF to Data Requirements; Section Five: Data Quality Strategy; Section Six: the DQAF in Depth; Intended Audience; What Measuring Data Quality for Ongoing Improvement Does Not Do; Why I Wrote Measuring Data Quality for Ongoing Improvement; 1: Concepts and Definitions; 1 Data; Purpose; Data; Data as Representation; The Implications of Data's Semiotic Function; Semiotics and Data Quality; Data as Facts
Data as a Product Data as Input to Analyses; Data and Expectations; Information; Concluding Thoughts; 2 Data, People, and Systems; Purpose; Enterprise or Organization; IT and the Business; Data Producers; Data Consumers; Data Brokers; Data Stewards and Data Stewardship; Data Owners; Data Ownership and Data Governance; IT, the Business, and Data Owners, Redux; Data Quality Program Team; Stakeholder; Systems and System Design; Concluding Thoughts; 3 Data Management, Models, and Metadata; Purpose; Data Management; Database, Data Warehouse, Data Asset, Dataset
Source System, Target System, System of Record Data Models; Types of Data Models; Physical Characteristics of Data; Metadata; Metadata as Explicit Knowledge; Data Chain and Information Life Cycle; Data Lineage and Data Provenance; Concluding Thoughts; 4 Data Quality and Measurement; Purpose; Data Quality; Data Quality Dimensions; Measurement; Measurement as Data; Data Quality Measurement and the Business/IT Divide; Characteristics of Effective Measurements; Measurements must be Comprehensible and Interpretable; Measurements must be Reproducible; Measurements must be Purposeful
Data Quality Assessment Data Quality Dimensions, DQAF Measurement Types, Specific Data Quality Metrics; Data Profiling; Data Quality Issues and Data Issue Management; Reasonability Checks; Data Quality Thresholds; Process Controls; In-line Data Quality Measurement and Monitoring; Concluding Thoughts; 2: DQAF Concepts and Measurement Types; 5 DQAF Concepts; Purpose; The Problem the DQAF Addresses; Data Quality Expectations and Data Management; The Scope of the DQAF; DQAF Quality Dimensions; Completeness; Timeliness; Validity; Consistency; Integrity; The Question of Accuracy
Defining DQAF Measurement Types
Record Nr. UNINA-9910810784503321
Sebastian-Coleman Laura (Data quality author and practitioner)  
Waltham, Mass., : Elsevier, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Performance evaluation and benchmarking : 13th TPC Technology Conference, TPCTC 2021, Copenhagen, Denmark, August 20, 2021, Revised selected papers / / Raghunath Nambiar, Meikel Poess
Performance evaluation and benchmarking : 13th TPC Technology Conference, TPCTC 2021, Copenhagen, Denmark, August 20, 2021, Revised selected papers / / Raghunath Nambiar, Meikel Poess
Autore Nambiar Raghunath
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (163 pages)
Disciplina 005.758
Collana Lecture Notes in Computer Science
Soggetto topico Transaction systems (Computer systems) - Management
Databases - Quality control
ISBN 3-030-94437-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910522987303321
Nambiar Raghunath  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Performance evaluation and benchmarking : 13th TPC Technology Conference, TPCTC 2021, Copenhagen, Denmark, August 20, 2021, Revised selected papers / / Raghunath Nambiar, Meikel Poess
Performance evaluation and benchmarking : 13th TPC Technology Conference, TPCTC 2021, Copenhagen, Denmark, August 20, 2021, Revised selected papers / / Raghunath Nambiar, Meikel Poess
Autore Nambiar Raghunath
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (163 pages)
Disciplina 005.758
Collana Lecture Notes in Computer Science
Soggetto topico Transaction systems (Computer systems) - Management
Databases - Quality control
ISBN 3-030-94437-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464540503316
Nambiar Raghunath  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui