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1

Data with semantics: Data models and data management. New York: Van Nostrand Reinhold, 1989.

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2

Data management and data description. Aldershot, Hants, England: Ashgate, 1992.

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3

Data management and data description. Aldershot, Hants, England: Ashgate, 1992.

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4

Lawrence, Dubov, ed. Master data management and data governance. 2nd ed. New York: McGraw-Hill, 2011.

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5

Ghosh, Sakti P. Data base organization for data management. 2nd ed. Orlando (Fla.): Academic Press, 1986.

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6

Data base organization for data management. 2nd ed. Orlando, Fla: Academic Press, 1986.

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7

Liu, Qing. Data Provenance and Data Management in eScience. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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8

Data sharing using a common data architecture. New York: Wiley, 1994.

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9

Polkowski, Zdzislaw, Sambit Kumar Mishra, and Julian Vasilev. Data Science in Engineering and Management. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003216278.

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10

Borah, Samarjeet, Sambit Kumar Mishra, Brojo Kishore Mishra, Valentina Emilia Balas, and Zdzislaw Polkowski, eds. Advances in Data Science and Management. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5685-9.

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11

Borah, Samarjeet, Valentina Emilia Balas, and Zdzislaw Polkowski, eds. Advances in Data Science and Management. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0978-0.

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12

Loomis, Mary E. S. Data management and file processing. Englewood Cliffs(N.J.): Prentice-Hall, 1986.

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13

Preparing data for sharing: Guide to social science data archiving. 4th ed. [Amsterdam]: Pallas Publications, 2010.

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14

Bekke, J. H. ter. Semantic data modeling. New York: Prentice Hall, 1992.

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15

Kunii, Hideko S. Graph data model and its data language. Tokyo: Springer-Verlag, 1990.

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16

Jung, Shim, ed. Micro management science: Microcumputer applications of management science. 2nd ed. Boston: Allyn and Bacon, 1990.

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17

Jung, Shim, ed. Micro management science: Microcomputer applications of management science. Dubuque, Iowa: W.C. Brown Publishers, 1986.

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18

Janson, Robert W. AS/400 data management fundamentals. Danvers, Mass: Boyd & Fraser, 1995.

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19

Data management and file structures. 2nd ed. Englewood Cliffs, N.J: Prentice-Hall, 1989.

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20

Computer simulation in management science. Chichester: Wiley, 1986.

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21

Computer simulation in management science. 4th ed. New York: John Wiley, 1998.

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22

Pidd, Michael. Computer simulation in management science. 2nd ed. Chichester: Wiley, 1988.

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23

Pidd, Michael. Computer simulation in management science. 5th ed. Hoboken, NJ: Wiley, 2004.

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24

Pidd, Michael. Computer simulation in management science. 2nd ed. Chichester: Wiley, 1988.

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25

Computer simulation in management science. 3rd ed. Chichester: Wiley, 1992.

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26

P, Hall Owen, ed. Computer models for management science. 2nd ed. Reading, Mass: Addison-Wesley Pub. Co., 1986.

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27

Big data computing. Boca Raton: CRC Press, 2014.

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28

Cordeiro, Robson L. F. Data Mining in Large Sets of Complex Data. London: Springer London, 2013.

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29

Dutka, Alan F. Fundamentals of data normalization. Reading, Mass: Addison-Wesley Pub. Co., 1989.

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30

Doan, AnHai. Principles of data integration. Waltham, MA: Morgan Kaufmann, 2012.

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31

Sakr, Sherif. Graph data management: Techniques and applications. Hershey, PA: Information Science Reference, 2012.

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32

H, Inmon William, and Graziano Kent 1960-, eds. The data model resource book: A library of logical data models and data warehouse designs. New York: Wiley, 1997.

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33

Tibor, Koltay. Research Data Management and Data Literacies. Elsevier Science & Technology, 2021.

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34

Tibor, Koltay. Research Data Management and Data Literacies. Chandos Publishing, 2021.

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35

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data. Wiley & Sons, Incorporated, John, 2014.

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36

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data. Wiley & Sons, Incorporated, John, 2015.

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37

Services, EMC Education. Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data. Wiley & Sons, Limited, John, 2015.

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38

Shoshani, Arie, and Doron Rotem. Scientific Data Management. Taylor & Francis Group, 2019.

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39

Institute, Deep Foundations. Data Management Guide Specification. Deep Foundations Institute, 2021.

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40

Doing Data Science. O'Reilly Media, Inc, USA, 2013.

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41

Schutt, Rachel, and Cathy O'Neil. Doing Data Science. O'Reilly Media, Incorporated, 2016.

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42

Linked Data Management. Taylor & Francis Inc, 2014.

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43

Harth, Andreas, Ralf Schenkel, and Katja Hose. Linked Data Management. Taylor & Francis Group, 2016.

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44

Harth, Andreas, Ralf Schenkel, and Katja Hose. Linked Data Management. Taylor & Francis Group, 2016.

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45

Data Provenance And Data Management In Escience. Springer, 2012.

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46

United States. National Aeronautics and Space Administration., ed. [Earth science data study]. [Washington, DC: National Aeronautics and Space Administration, 1992.

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47

Liu, Qing, Quan Bai, Darrell Williamson, Stephen Giugni, and Johnn Taylor. Data Provenance and Data Management in EScience. Springer Berlin / Heidelberg, 2014.

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48

Liu, Qing, Quan Bai, and Stephen Giugni. Data Provenance and Data Management in eScience. Springer, 2012.

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49

Hardoon, David Roi, and Reuben Ng. Hitchhiker's Guide to Data Science. Taylor & Francis Group, 2016.

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50

Hardoon, David Roi, and Reuben Ng. Hitchhiker's Guide to Data Science. Taylor & Francis Group, 2021.

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