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1

Anderson, Jesse. Data Teams. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6228-3.

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2

Paul, Ching, ed. Creating, managing, and evaluating multidisciplinary teams. Tulsa: American Association of Petroleum Geologists, 1993.

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3

Peery, Angela B. The data teams experience: A guide for effective meetings. Englewood, Colo: Lead + Learn Press, 2011.

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4

Patil, D. J. Building data science teams: The skills, tools and perspectives behind great data science groups. Sebastopol, CA: O'Reilly, 2011.

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5

Besser, Laura, and Laura Besser. Leaders make it happen!: An administrator's guide to data teams. Englewood, Colo: Lead + Learn Press, 2010.

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6

1948-, McNulty Brian A., ed. Leaders make it happen!: An administrator's guide to data teams. Englewood, Colo: Lead + Learn Press, 2010.

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7

OREGON DEPARTMENT OF TRANSPORTATION. Oregon Department of Transportation: TEAMS application controls review. Salem, OR: Secretary of State, Audits Division, 2004.

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8

Johansen, Robert. Groupware: Computer support for business teams. New York: Free Press, 1988.

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9

Nemiro, Jill E. Creativity in Virtual Teams. New York: John Wiley & Sons, Ltd., 2004.

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10

Entwicklung und Anwendung eines Systems zur Lenkung von teilautonomen Gruppen: Analyse der betriebswirtschaftlichen und sozialwissenschaftlichen Auswirkungen am Beispiel eines Maschinenbauunternehmens. Frankfurt am Main: P. Lang, 1998.

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11

Towards a CSCW framework for scientific cooperation in Europe. Berlin: Springer-Verlag, 1995.

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12

1975-, Friedrich Jürgen fl, Rödiger Karl-Heinz 1945-, Association for Computing Machinery. German Chapter., Gesellschaft für Informatik, and Universität Bremen Fachbereich Mathematik/Informatik, eds. Computergestützte Gruppenarbeit (CSCW): 1. Fachtagung, 30. September bis 2. Oktober 1991, Bremen. Stuttgart: B.G. Teubner, 1991.

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13

Computer supported cooperative work: The bargaining aspect. Frankfurt am Main: Peter Lang, 1996.

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14

1965-, Easterbrook S. M., ed. CSCW: Cooperation or conflict? London: Springer-Verlag, 1992.

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15

D, Power R. J., ed. Cooperation among organizations: The potential of computer supported cooperative work. Berlin: New York, 1993.

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16

1950-, Connolly John H., and Edmonds Ernest A. 1942-, eds. CSCW and artificial intelligence. London: Springer-Verlag, 1994.

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17

Mankin, Donald A. Teams and technology: Fulfilling the promise of the new organization. Boston, Mass: Harvard Business School Press, 1996.

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18

H, Olson Margrethe, New York University. Graduate School of Business Administration. Center for Research on Information Systems., and Symposium on Technological Support for Work Group Collaboration (1987 : New York University, Graduate School of Business Administration, Center for Research on Information Systems), eds. Technological support for work group collaboration. Hillsdale, N.J: L. Erlbaum Associates, 1989.

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19

D, Diaper, and Sanger C. 1950-, eds. CSCW in practice: An introduction and case studies. London: Springer-Verlag, 1993.

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20

C, Bishop Peter, Yoss Cissy, and United States. National Aeronautics and Space Administration., eds. Feasiblity study on the use of groupware support for NASA source evaluation boards: Final report. [Clear Lake City, Tex.]: Research Institute for Computing and Information Systems, 1991.

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21

Kuutti, Kari. ECSCW 2003: Proceedings of the Eighth European Conference on Computer Supported Cooperative Work 14-18 September 2003, Helsinki, Finland. Dordrecht: Springer Netherlands, 2003.

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22

Thomas, Kreifelts, and Santo Horst, eds. Group support systems. München: Oldenbourg, 1994.

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23

1946-, Bock Geoffrey, ed. Groupware: Software for computer-supported cooperative work. Los Alamitos, Calif: IEEE Computer Society Press, 1992.

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24

Henry, Jane E. Tools for virtual teams: A Team fitness companion. Milwaukee, Wis: ASQ Quality Press, 1998.

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25

S, Ackerman Mark, ed. Resources, co-evolution and artifacts: Theory in CSCW. London: Springer, 2008.

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26

Jeff, Moses, ed. The tenth man: How major league baseball teams can gain a 2 to 3 run advantage every game. Chillicothe, Mo: Baseball Analysis and Reporting System, 1989.

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27

Irene, Greif, ed. Computer-supported cooperative work: A book of readings. San Mateo, Calif: Morgan Kaufmann, 1988.

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28

de, By Rolf A., Klas Wolfgang, and Veijalainen Jari, eds. Transaction management support for cooperative applications. Boston: Kluwer Academic Publishers, 1998.

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29

McGrath, Joseph Edward. Groups interacting with technology: Ideas, evidence, issues, and an agenda. Thousand Oaks, Calif: Sage Publications, 1993.

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30

Creativity in virtual teams: Key components for success. San Francisco: Jossey-Bass, 2004.

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31

1954-, Coleman David, and Khanna Raman, eds. Groupware: Technologies and applications. Upper Saddle River, NJ: Prentice Hall PTR, 1995.

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32

Kathy, Spurr, ed. Computer support for co-operative work. Chichester, England: Wiley, 1994.

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33

Montana. Legislature. Legislative Audit Division. The economic assistance management system (TEAMS), Department of Public Health and Human Services: Information system audit. Helena, MT: Legislative Audit Division, State of Montana, 1999.

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34

Hackel, Monika. Auf dem Weg zum interdisziplinären mechatronischen Konstruktionsprozess: Entwickelnde Arbeitsforschung im Maschinen- und Anlagenbau. Frankfurt am Main: Peter Lang, 2011.

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35

Chalfoun, Pierre, and Jonathan Dankoff. Developing actionable biometric insights for production teams. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794844.003.0017.

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In this chapter we describe the challenges and learnings in establishing processes for developing actionable biometric procedures for production teams. The chapter, divided in four main sections, describes the ongoing efforts of recent years to facilitate the incorporation of the science of biometrics into the culture of video game production, as illustrated through several case studies. The end goal is making biometric data an accessible option in the tool chest of user researchers and an ally in the team’s decision-making processes. Throughout the chapter, references to related work in games user research and academia are presented.
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36

Anderson, Jesse. Data Teams: A Unified Management Model for Successful Data-Focused Teams. Apress L. P., 2020.

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37

Data Teams Success Stories. Lead & Learn Press, Adv Learn, 2011.

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38

Patil, D. J. Building Data Science Teams. O'Reilly Media, Incorporated, 2011.

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39

Data Teams The Big Picture Looking At Data Teams Through A Collaborative Lens. Lead and Learn Press, 2010.

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40

Claudia, Longhi. PSICODRAMA: desenvolvimento de papéis em equipe multidisciplinar de saúde. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-87836-72-0.

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Psychodrama is a method of research and intervention in interpersonal relationships. Objective: The aim of the present study is to investigate and train group relationships in a multidisciplinary healthcare team. Material & Methods: Participants: The study population included employees who work in a Basic Family Health (UBSF), which was randomly selected. This facility was located in a medium-sized city within the state of São Paulo. We used the following tools: Form of Profile Survey and Interview Guide associated to Socio-demographic Data, Relational Functioning, and the team’s Sociometric choices. The researchers designed other Instruments of Protocol. Procedure: The participants responded to the study instruments and subsequently they underwent the Role Playing Program. They were re-evaluated at the end of the Development and Training Roles Program and reassessed at the end of the program. Patients show good clinical evaluation free of complications in a 60-day follow-up. Conclusions: The results show changes and improvements in the personal lives of those involved in their performance at work, and in the creation of coping strategies due to the professional role. Our results also indicate the importance of continuous and permanent training to maintain the properly functioning of the team. The participants also need a greater time to achieve internal and subjective changes identified with the intervention. We achieved the proposed objectives, which were as follows: effectiveness of the sociopsychodramatic methodology in groups regarding training and role play and changes in interdisciplinary relationships. However, more research on a case by case basis is recommended in order to generalize the results.
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41

Press, Axzo Press Axzo. Student Manual and Data: Virtual Teams + Cbt. Cengage Learning, 2005.

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42

Design by TEAMS Digital Picture Data Base. Lulu Press, Inc., 2010.

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43

Press, Axzo Press Axzo. Student Manual and Data: Project Teams + Cbt. Cengage Learning, 2004.

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44

Metcalf, Michael, John Reid, and Malcolm Cohen. Fortran 2018 coarray enhancements. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811893.003.0020.

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Teams allow separate sets of images to execute independently. An important design objective is that, given code that has been developed and tested on all images, it should be possible to run the code on a team without making changes. This requires that if a team has n images, the image indices within the team run from 1 to n. Teams are formed by partitioning an existing team into parts, starting with the team of all the images. New teams are executed within change team constructs. Most execution will be within the team, but direct access to data in ancestor and sibling teams is allowed. The number of images may be huge, making the probability of one failing significant. Facilities are therefore provided to allow the programmer to recover the computation after a failure. All these features are explained, together with events and new collective and atomic intrinsic procedures.
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45

Robert, Johansen, ed. Leading business teams: How teams can use technology and group process tools to enhance performance. Reading, Mass: Addison-Wesley, 1991.

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46

Adamson, Jeremy. Minding the Machines: Building and Leading Data Science and Analytics Teams. Wiley & Sons, Limited, John, 2021.

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47

Adamson, Jeremy. Minding the Machines: Building and Leading Data Science and Analytics Teams. Wiley & Sons, Incorporated, John, 2021.

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48

Patrick, Polly, and Angela Peery. PLC-Powered Data Teams: A Guide to Effective Collaboration and Learning. International Center for Leadership in Education, 2021.

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49

Adamson, Jeremy. Minding the Machines: Building and Leading Data Science and Analytics Teams. Wiley & Sons, Incorporated, John, 2021.

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50

Data without tears: How to write measurable educational goals and collect meaningful data. Champaign, Ill.: Research Press, 2010.

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