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Books on the topic 'Data Manipulation and Integrity'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Herrero, Rolando, ed. Networking Data Integrity and Manipulation in Cyber-Physical and Communication Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83149-2.

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2

Vojvodić, Mira. Managing data integrity. National Library of Canada = Bibliothèque nationale du Canada, 1993.

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3

Spector, Phil. Data Manipulation with R. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-74731-6.

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4

Deardurff, John. T-SQL Data Manipulation. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4993-2.

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5

Dooley, Bill. Ensuring data integrity at Bell Atlantic. Information Management Forum, 1998.

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6

Song, Shaoxu, and Lei Chen. Integrity Constraints on Rich Data Types. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27177-9.

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7

J, Thomas Stephen, ed. Asset data integrity is serious business. Industrial Press, Inc., 2010.

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8

Wilkinson, T. A. WATFILE/Plus data manipulation system tutorial and reference. WATCOM Publications, 1986.

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9

Wilkinson, T. A. WATFILE/Plus data manipulation system tutorial and reference. 3rd ed. WATCOM Publications, 1987.

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10

Technology), Invitational Workshop on Data Integrity (1989 National Institute of Standards and. Report of the Invitational Workshop on Data Integrity. U.S. Dept. of Commerce, National Institute of Standards and Technology, 1989.

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11

Farley, Marc. LAN times guide to security and data integrity. Osborne McGraw-Hill, 1996.

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12

Winter, Victor L. High Integrity Software. Springer US, 2001.

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13

Saltman, Roy G. Accuracy, integrity, and security in computerized vote-tallying. U.S. Dept of Commerce, National Bureau of Standards, 1988.

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14

Saltman, Roy G. Accuracy, integrity, and security in computerized vote-tallying. National Bureau of Standards, 1988.

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15

A, Myers Thomas, ed. JavaScript objects: Object use and data manipulation with JavaScript. Wrox, 1998.

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16

Lopez, Orlando. Data Integrity in Pharmaceutical and Medical Devices Regulation Operations. Productivity Press, 2016. http://dx.doi.org/10.1201/9781315367095.

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17

Group, Butler, ed. Data quality and integrity: Essential steps for exploiting business information. Butler Direct Limited, 2004.

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18

Sies, Roger F. A manager's guide for monitoring data integrity in financial systems. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1996.

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19

Quality, American Society for, ed. Data integrity and compliance: A primer for medical product manufacturers. ASQ Quality Press, 2019.

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20

Cammarata, Stephanie. An intelligent information dictionary for semantic manipulation of relational databases. Rand, 1988.

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21

Diekmann, Andreas, ed. Methodological Artefacts, Data Manipulation and Fraud in Economics and Social Science. De Gruyter, 2011. http://dx.doi.org/10.1515/9783110508420.

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22

Services, Oregon Dept of Administrative. Department of Administrative Services: Statewide Financial Management Application data integrity audit. Secretary of State, Audits Division, 2004.

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23

Saylor, Charles F. Application of the index of biotic integrity to existing TVA data. Tennessee Valley Authority, Office of Natural Resources and Economic Development, Division of Services and Field Operations, 1987.

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24

Saylor, Charles F. Application of the index of biotic integrity to existing TVA data. Tennessee Valley Authority, Office of Natural Resources and Economic Development, Division of Services and Field Operations, 1987.

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25

Research, Wolfram. Data Manipulation. Wolfram Media, Incorporated, 2008.

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26

Martin, Keith M. Data Integrity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788003.003.0006.

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Abstract:

This chapter discusses cryptographic mechanisms for providing data integrity. We begin by identifying different levels of data integrity that can be provided. We then look in detail at hash functions, explaining the different security properties that they have, as well as presenting several different applications of a hash function. We then look at hash function design and illustrate this by discussing the hash function SHA-3. Next, we discuss message authentication codes (MACs), presenting a basic model and discussing basic properties. We compare two different MAC constructions, CBC-MAC and H

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27

Data Integrity and Data Governance. Royal Society of Chemistry, 2018. http://dx.doi.org/10.1039/9781788013277.

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28

Kumar, B. Santhosh. Data Integrity and Data Governance. IntechOpen, 2023.

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29

Data Lifecycle and Data Integrity. Nova Science Publishers, Incorporated, 2024.

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30

Data Lifecycle and Data Integrity. Nova Science Publishers, Incorporated, 2024.

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31

Little, D. B., Little David B, Skip Farmer, and Oussama El-Hilali. Digital Data Integrity. Wiley & Sons, Incorporated, John, 2007.

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32

Data Integrity: How Public Key Encryption Ensures Data Integrity. Independently Published, 2022.

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33

Data Manipulation with R. Packt Publishing, 2014.

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34

Spector, Phil. Data Manipulation with R. Springer London, Limited, 2008.

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35

Data Manipulation with R. Packt Publishing, Limited, 2014.

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36

Data manipulation With R. Springer, 2008.

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37

Balan, Santhosh Kumar. Data Integrity and Quality. IntechOpen, 2021.

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38

Data Integrity and Data Governance [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.100778.

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39

Data Integrity Solutions: Turning Data into Dollars and Sense. BookBaby, 2017.

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40

Data manipulation in sci-tech libraries. Haworth Press, 1985.

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41

Data Manipulation with R - Second Edition. Packt Publishing, Limited, 2015.

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42

Data Manipulation with R - Second Edition. Packt Publishing, 2015.

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43

Data Integrity and Quality [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.90975.

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44

Integrity Constraints on Rich Data Types. Springer International Publishing AG, 2023.

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45

McDowall, R. D. Data Integrity and Data Governance: Practical Implementation in Regulated Laboratories. Royal Society of Chemistry, The, 2018.

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46

McDowall, R. D. Data Integrity and Data Governance: Practical Implementation in Regulated Laboratories. Royal Society of Chemistry, The, 2018.

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47

McDowall, R. D. Data Integrity and Data Governance: Practical Implementation in Regulated Laboratories. Royal Society of Chemistry, The, 2018.

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48

National Practitioner Data Bank: Data bank information : healthcare integrity and protection data bank. U.S. Dept. of Health and Human Services, Health Resources & Services Administration, Bureau of Health Professions, 2000.

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49

Data integrity with DB2 for z/OS. International Technical Support Organization, 2006.

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50

How to Check Integrity of Fiscal Data. INTERNATIONAL MONETARY FUND, 2016. http://dx.doi.org/10.5089/9781475546736.061.

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