Relevant bibliographies by topics / Data Governance

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data Governance'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Data Governance"

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Otto, Boris. "Data Governance." WIRTSCHAFTSINFORMATIK 53, no. 4 (2011): 235–38. http://dx.doi.org/10.1007/s11576-011-0275-1.

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Otto, Boris. "Data Governance." Business & Information Systems Engineering 3, no. 4 (2011): 241–44. http://dx.doi.org/10.1007/s12599-011-0162-8.

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Hubbard, Dan, Augie Freda, and Andrea Swanagan. "Data Governance 101: IR's Critical Role in Data Governance." New Directions for Institutional Research 2020, no. 185-186 (2020): 51–65. http://dx.doi.org/10.1002/ir.20329.

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Klingenberg, Christiana, and Kristin Weber. "Erfolgsfaktor Data Governance." ERP Management 2021, no. 3 (2021): 24–26. http://dx.doi.org/10.30844/erp21-3_24-26.

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Von Master Data Management (MDM) versprechen sich Unternehmen Effizienz, Transparenz und Risikominimierung im Umgang mit ihren Stammdaten. MDM soll dazu beitragen, Stammdaten als „Asset“ im Unternehmen zu bewirtschaften. Der vorliegende Beitrag liefert praktische Tipps, wie MDM-Implementierungen nachhaltig gestaltet werden können, damit die Daten einen Beitrag zum Unternehmenserfolg leisten. Er stellt das qualitätsorientierte Data Governance Framework vor. Das Framework stellt sicher, dass bei einer Implementierung alle Aspekte von MDM adressiert werden inkl. strategischer und organisatorische
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Khatri, Vijay, and Carol V. Brown. "Designing data governance." Communications of the ACM 53, no. 1 (2010): 148–52. http://dx.doi.org/10.1145/1629175.1629210.

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Knoll, Matthias. "Rezension „Data Governance“." HMD Praxis der Wirtschaftsinformatik 57, no. 6 (2020): 1302–5. http://dx.doi.org/10.1365/s40702-020-00660-5.

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Raghunath, Preeti. "Critical Data Governance." Technology and Regulation 2024 (March 18, 2024): 37–46. https://doi.org/10.71265/te04av59.

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Much of the conversations and practices of data governance emanate from technocratic and/or managerial lenses. This suggests a double bias towards (a) a linear teleological model of progress, (b) propelled by claims of objectivity and pristine scientific rationality inherent to Data. This paper seeks to move away from such approaches, to draw on the offerings of Critical Theory, to develop Critical Data Governance (CDG) as an approach that eschews objectivist, instrumentalist, and universalising tendencies. This, it does, by bringing to conversation the bodies of work on Critical Policy Studie
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Pathak, M. "Data Governance Redefined:." European Data Protection Law Review 10, no. 1 (2024): 43–56. http://dx.doi.org/10.21552/edpl/2024/1/8.

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Jitendra, Choudhary, and Kulkarni Akanksha. "Data Management vs Data Governance." International Journal of Innovative Science and Research Technology 7, no. 11 (2022): 1346–47. https://doi.org/10.5281/zenodo.7453533.

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Data management is the practice of gathering, organizing, protecting, sharing and storing data so it can be analyzed for business decisions. It helps improve data scalability, visibility, security and reliability. With the vast quantity of data available to organizations, it has become essential for organizations to use data management to generate maximum value from the data available to them. Data governance is a discipline of data management. It ensures that data is high quality by making it secure, available, usable and consistent. One of the primary goals of data governance is to create ha
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Liu, Jun. "Social data governance: Towards a definition and model." Big Data & Society 9, no. 2 (2022): 205395172211113. http://dx.doi.org/10.1177/20539517221111352.

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With the surge in the number of data and datafied governance initiatives, arrangements, and practices across the globe, understanding various types of such initiatives, arrangements, and their structural causes has become a daunting task for scholars, policy makers, and the public. This complexity additionally generates substantial difficulties in considering different data(fied) governances commensurable with each other. To advance the discussion, this study argues that existing scholarship is inclined to embrace an organization-centric perspective that primarily concerns factors and dynamics
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Dissertations / Theses on the topic "Data Governance"

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Blahová, Leontýna. "Big Data Governance." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-203994.

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This master thesis is about Big Data Governance and about software, which is used for this purposes. Because Big Data are huge opportunity and also risk, I wanted to map products which can be easily use for Data Quality and Big Data Governance in one platform. This thesis is not only on theoretical knowledge level, but also evaluates five key products (from my point of view). I defined requirements for every kind of domain and then I set up the weights and points. The main objective is to evaluate software capabilities and compere them.
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Slouková, Anna. "Postup zavádění Data Governance." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-10498.

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This thesis refers to Data Governance issue and the way of implementing this program. It is logically devided into two parts -- theoretical and practical one. The teoretical part represented by first chapter summarises actual findings about the Data Governance program, it explains what is hidden behind the term Data Governance, cause for Data Governance initiatives emergence, it itemizes particular parts of which the program is composed and basic, mostly software tools, that are necessary for successful program run. Practical part consists of second and third chapter. The second chapter contai
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Reken, Jaroslav. "Role v Data Governance." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-19114.

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This work is covering the area of Data Governance (DG) with the main focus on roles in DG. First part is capturing the DG field from a basic perspective. This chapter introduces main principles of DG and is considered as a guideline for better understanding of the second chapter. The second chapter contains different approaches on DG and on roles in DG. The approaches are from world leaders in the field of DG like IBM, Teradata, KIK Consulting and The Data Governance Institute. In the summary of second chapter you can find a comparison of these different approaches to organization structure an
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Zosinčuk, Dominik. "Zavádění projektu data governance." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-197446.

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Topic of this thesis is the Data Governance implementation in the large companies. These companies struggle during governing and managing data to get useful insights for the decision making. Data Governance is new approach to managing the companies which helps to solve the data management pain points and helps organizations to work with data effectively and without any problems. Data Governance helps to transform data into asset. This thesis is divided into theoretical and practical part. In the theoretical part are discussed reasons for emerging Data Governance, analysis of approaches to Data
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Ullrichová, Jana. "Koncept zavedení Data Governance." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-203901.

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This master´s thesis discusses concept of implementation for data governance. The theoretical part of this thesis is about data governance. It explains why data are important for company, describes definitoons of data governance, its history, its components, its principles and processes and fitting in company. Theoretical part is amended with examples of data governance failures and banking specifics. The main goal of this thesis is to create a concept for implementing data governance and its implementation in real company. That is what practical part consists of.
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DeStefano, R. J. "Improving Enterprise Data Governance Through Ontology and Linked Data." Thesis, Pace University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10097925.

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<p> In the past decade, the role of data has increased exponentially from being the output of a process, to becoming a true corporate asset. As the business landscape becomes increasingly complex and the pace of change increasingly faster, companies need a clear awareness of their data assets, their movement, and how they relate to the organization in order to make informed decisions, reduce cost, and identify opportunity. The increased complexity of corporate technology has also created a high level of risk, as the data moving across a multitude of systems lends itself to a higher likelihood
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Barker, James M. "Data governance| The missing approach to improving data quality." Thesis, University of Phoenix, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10248424.

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<p> In an environment where individuals use applications to drive activities from what book to purchase, what film to view, to what temperature to heat a home, data is the critical element. To make things work data must be correct, complete, and accurate. Many firms view data governance as a panacea to the ills of systems and organizational challenge while other firms struggle to generate the value of these programs. This paper documents a study that was executed to understand what is being done by firms in the data governance space and why? The conceptual framework that was established from t
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Furlan, Patrícia Kuzmenko. "Fatores determinantes para a adoção das governanças de dados e de informação no ambiente big data." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/3/3136/tde-24092018-081250/.

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No ambiente big data, as organizações se preocupam em extrair valor dos dados e das informações com o intuito de obter vantagens competitivas. No entanto, são necessários esforços organizacionais com relação aos ativos de dados, incluindo a definição de responsabilidades com relação ao uso dos dados, a garantia da qualidade dos dados, dentre outros aspectos contemplados pelos modelos de governança de dados ou de informação. Deste modo, esta pesquisa investigou como as organizações podem adotar as governanças de dados ou de informação no ambiente big data e, para tanto, foram contemplados estud
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Kmoch, Václav. "Data Governance - koncept projektu zavedení procesu." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-73648.

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Companies in these days deal with underlying issue that concerns about questions how to manage volume growth of corporate data needed to decision making processes and how to control credibility and relevance of derived information and knowledge. Other questions deal with problem of responsibility and data security that represents potential risk of information outflow. The Data Governance concepts provide comprehensive answer to these questions. However, making a decision on implementing a Data Governance program is usually triggering many other problems like setting up environments, making det
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Alfaro, Carranza Rosa Ángela, and Mendoza Libusi Deyanira Ampuero. "Modelo de madurez de Data Governance." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2015. http://hdl.handle.net/10757/347094.

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Data Governance is a concept in evolution which includes people who have large responsibilities within organizations and the processes that these used to be able to manage information. This project proposes the creation of a maturity model of data governance based on the IBM Data Governance Maturity Model. The objective of this model is to help organizations to understand their level of maturity in relation to the management of your data and identify its weaknesses to subsequently take corrective action before opting for the implementation of a Data Governance program.<br>Data Governance o gob
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Books on the topic "Data Governance"

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Weber, Beatrix, ed. Data Governance. Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-67556-4.

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Caballero, Ismael, and Mario Piattini, eds. Data Governance. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43773-1.

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Sargiotis, Dimitrios. Data Governance. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67268-2.

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Mahanti, Rupa. Data Governance and Data Management. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3583-0.

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Mahanti, Rupa. Data Governance Success. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5086-4.

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Bonnet, Pierre. Enterprise Data Governance. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118622513.

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

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Mahanti, Rupa. Data Governance and Compliance. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6877-4.

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Bollweg, Lars Michael. Data Governance für Manager. Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-63562-9.

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West, Tobi, and Aeron Zentner. Data Privacy and Governance. SAGE Publications, Inc., 2021. http://dx.doi.org/10.4135/9781071859414.

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Book chapters on the topic "Data Governance"

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Weber, Kristin, and Christiana Klingenberg. "Data Governance." In Data Governance. Carl Hanser Verlag GmbH & Co. KG, 2020. http://dx.doi.org/10.3139/9783446466746.003.

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Gronwald, Klaus-Dieter. "Data Governance." In Data Management. Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-68668-3_11.

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Frick, Detlev. "Data Governance." In Data Science. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-33403-1_6.

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Otto, Boris, and Kristin Weber. "Data Governance." In Daten- und Informationsqualität. Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-9953-8_16.

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Treder, Martin. "Data Governance." In The Chief Data Officer Management Handbook. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6115-6_6.

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Mucchetti, Mark. "Data Governance." In BigQuery for Data Warehousing. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6186-6_14.

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Otto, Boris, and Kristin Weber. "Data Governance." In Daten- und Informationsqualität. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-21994-9_16.

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Weber, Kristin, Boris Otto, and Dominik Lis. "Data Governance." In Daten- und Informationsqualität. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30991-6_16.

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Viscusi, Gianluigi, Carlo Batini, and Massimo Mecella. "Data Governance." In Information Systems for eGovernment. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13571-2_2.

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Fleckenstein, Mike, and Lorraine Fellows. "Data Governance." In Modern Data Strategy. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68993-7_8.

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Conference papers on the topic "Data Governance"

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Wider, Arif, Katharine Jarmul, and Atif Akhtar. "Towards Automating Federated Data Governance." In 2024 IEEE International Conference on Web Services (ICWS). IEEE, 2024. http://dx.doi.org/10.1109/icws62655.2024.00019.

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Bassi, Carlos, Solange Alves-Souza, and Luiz Sergio de Souza. "Data Governance to Be a Data-Driven Organization." In 16th International Conference on Knowledge Management and Information Systems. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012900700003838.

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Ntshangase, Sthembile, Nomalisa Ndhlovu, Siphelele Myaka, Oyena Mahlasela, Nokuthaba Siphambili, and Sthembile Mthethwa. "An Evaluation of DL T Governance Models." In 2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). IEEE, 2024. http://dx.doi.org/10.1109/icabcd62167.2024.10645266.

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Thuraisingham, Bhavani, and Teena Thomas. "Social Media Governance and Fake News Detection Integrated with Artificial Intelligence Governance." In 2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI). IEEE, 2024. http://dx.doi.org/10.1109/iri62200.2024.00048.

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Bugbee, Kaylin, Rahul Ramachandran, Aaron Kaulfus, et al. "Enabling Dynamic Data Governance in Science: Design, Implementation, and Future Directions of the Modern Data Governance Framework." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640434.

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Sarabu, Venkata Rahul, Pamula Udayaraju, Venkata Gummadi, Chaithanya Ravulu, Shravan Kumar Joginipalli, and Sai Charan Gurram. "An Identity Verification Governance Public Data Access Model for Analyzing Public Data Access Governance using Artificial Neural Network." In 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS). IEEE, 2024. https://doi.org/10.1109/icuis64676.2024.10866896.

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He, Xin, Shijie Gao, Yi Shen, Mengting Zhang, Yueyuan Wang, and Gaojie Shi. "Data Center Based Planning for Power Grid Data Governance Components." In 2023 International Conference on Information Processing and Network Provisioning (ICIPNP). IEEE, 2023. https://doi.org/10.1109/icipnp62754.2023.00089.

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Mitrovska, Angela, Marcel Fernandez Rosas, Pooyan Safari, Behnam Shariati, Johannes Karl Fischer, and Ronald Freund. "Federated Learning Governance using Eclipse Dataspace Components Connectors." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10826122.

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Marawar, Tejas R., Swapnil P. Kale, and Ketan I. Araspure. "E Governance." In 2010 International Conference on Data Storage and Data Engineering (DSDE). IEEE, 2010. http://dx.doi.org/10.1109/dsde.2010.54.

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Rifaie, Mohammad, Reda Alhajj, and Mick Ridley. "Data governance strategy." In the 11th International Conference. ACM Press, 2009. http://dx.doi.org/10.1145/1806338.1806449.

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Reports on the topic "Data Governance"

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Carey-Wilson, Thomas, Elena Simperl, Arunav Das, and Ioannis Reklos. Understanding data governance in AI: Mapping governance. Open Data Institute, 2024. https://doi.org/10.61557/irbt3007.

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Yates, Deborah, Elea Himmelsbach, Flor Serale, et al. Health data governance playbook. Open Data Institute, 2022. http://dx.doi.org/10.61557/ejuv7241.

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Chen, Jinfeng. Exploring the relationship between Data Governance and Information Governance. Iowa State University, 2021. http://dx.doi.org/10.31274/cc-20240624-707.

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Sabharwal, Yashvinder, Bruce Kane, David R Hinkler, et al. Data governance needs in biomanufacturing position paper. BioPhorum, 2023. http://dx.doi.org/10.46220/2023tr001.

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Smith, M. F. M., and K. L. Davies. Science data and information governance framework 2020-2023. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.005.

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Williams, Emelia Williams. Designing Governance Tools for Agricultural and Environmental Data. Open Environmental Data Project (OEDP), 2023. http://dx.doi.org/10.15868/socialsector.42511.

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Wong, Janis, and Dr Mahlet (Milly) Zimeta. ODI Fellow Report: Data governance for online learning. Open Data Institute, 2021. http://dx.doi.org/10.61557/prjc8161.

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Carey-Wilson, Thomas, Elena Simperl, Arunav Das, and Ioannis Reklos. Understanding data governance in AI: A lifecycle perspective. Open Data Institute, 2024. https://doi.org/10.61557/ksqf4883.

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Carey-Wilson, Thomas, Elena Simperl, Arunav Das, and Ioannis Reklos. Understanding data governance in AI: Exploring the ecosystem. Open Data Institute, 2024. https://doi.org/10.61557/bfem3793.

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Nasution, Sri. Improving Data Governance and Personal Data Protection through ASEAN Digital Masterplan 2025. Center for Indonesian Policy Studies, 2021. http://dx.doi.org/10.35497/353777.

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