Log in

Relevant bibliographies by topics / Data Governance / Journal articles

To see the other types of publications on this topic, follow the link: Data Governance.

Journal articles on the topic 'Data Governance'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Data Governance.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

5

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

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

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

8

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

10

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

11

Reddy Desani, Nithin. "Enhancing Data Governance through AI - Driven Data Quality Management and Automated Data Contracts." International Journal of Science and Research (IJSR) 12, no. 8 (2023): 2519–25. http://dx.doi.org/10.21275/es23812104904.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Puneet, Matai. "Evaluating Data Governance Platforms: A Comprehensive Guide to Selecting the Best Platforms for Your Organization." Journal of Scientific and Engineering Research 7, no. 10 (2020): 249–53. https://doi.org/10.5281/zenodo.13757575.

Full text

Abstract:

This whitepaper guides organizations in selecting the optimal data governance platform by evaluating essential criteria, key features, and performance metrics. It aims to enhance data management, regulatory compliance, and data stewardship. The paper covers governance capabilities, compliance, integration, and scalability. It concludes that choosing a platform with data integration, compliance, and scalability is crucial for effective data governance, recommending careful evaluation and consideration of these factors.

APA, Harvard, Vancouver, ISO, and other styles

13

Jang, Kyoung-Ae, and Woo-Je Kim. "Component Development and Importance Weight Analysis of Data Governance." Journal of the Korean Operations Research and Management Science Society 41, no. 3 (2016): 45–58. http://dx.doi.org/10.7737/jkorms.2016.41.3.045.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Al-Ruithe, Majid, Elhadj Benkhelifa, and Khawar Hameed. "A systematic literature review of data governance and cloud data governance." Personal and Ubiquitous Computing 23, no. 5-6 (2018): 839–59. http://dx.doi.org/10.1007/s00779-017-1104-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Sigi, Awit Lela. "Designing Data Governance With DAMA DMBOK Framework." Jurnal Teknobisnis 8, no. 2 (2024): 79–89. http://dx.doi.org/10.12962/j24609463.v8i2.1408.

Full text

Abstract:

The vitality of data in aiding companies to fulfill their organizational objectives is paramount, as it can shape decisions across a variety of business operations. Often, corporations overlook the significance of data management, which in fact demands serious consideration. Two key issues that are frequently neglected include the hazy assignment of data responsibilities and the lack of robust data governance. The absence of transparency in data sources can interfere with data analysis or processing, while insufficient data integration and synchronization can prolong report creation time up to

APA, Harvard, Vancouver, ISO, and other styles

16

Felix, C. Aguboshim, N. Obiokafor Ifeyinwa, and O. Emenike Anastasia. "Sustainable data governance in the era of global data security challenges in Nigeria: A narrative review." World Journal of Advanced Research and Reviews 17, no. 2 (2023): 378–85. https://doi.org/10.5281/zenodo.8107342.

Full text

Abstract:

Data are now valued as the new oil that powers the world economy. Globally, Big data technologies have intensified the need for Sustainable Data Governance (SDG). Significant empirical evidence from literature revealed that about 2.7 zettabytes of data now in the digital universe are being threatened by cybercrime incidents that are on the rise globally. Despite the importance of SDG and cyber security, only 67% of organizations globally deployed data governance or data intelligence solutions, while 46% including Nigeria had no formal governance strategy in place. This study highlights strateg

APA, Harvard, Vancouver, ISO, and other styles

17

Jalili, Fariba, Fariborz Doroudi, and Rouhani Seyed Ali Akbar Famili. "Examination of Librarians' Attitudes Towards Implementing Data Governance Strategies in the Collection Development Planning of Islamic Azad University Libraries." Knowledge Studies 13, no. 48 (2019): 13–25. https://doi.org/10.5281/zenodo.14041824.

Full text

Abstract:

**Objective:** The aim of the present research is to examine the attitudes of information science specialists towards the implementation of data governance strategies in the collection development planning of Islamic Azad University libraries. **Research Method:** The research method is descriptive and analytical of the survey type. The statistical population consists of 155 individuals, which includes all librarians working in the central libraries of Islamic Azad University in the year 2019. To determine the sample size, Morgan's sampling formula was used, resulting in a selection of 108 ind

APA, Harvard, Vancouver, ISO, and other styles

18

Kalishina, Daria. "ARTIFICIAL INTELLIGENCE AS AN ENABLER OF GROWTH: ADVANCING BUSINESS ANALYTICS IN SMALL AND MEDIUM ENTERPRISES." International Journal of Core Engineering & Management 7, no. 5 (2023): 189–300. https://doi.org/10.5281/zenodo.14538110.

Full text

Abstract:

This paper contributes to the literature by exploring the transformative role of artificial intelligence (AI) in enhancing decision-making processes within small and medium enterprises (SMEs). It examines the strategic benefits of AI technologies, such as predictive analytics, automated workflows, and natural language processing, in fostering innovation, operational efficiency, and customer-centric solutions. By synthesizing recent advancements and addressing practical challenges, the paper highlights scalable AI frameworks tailored for SMEs, bridging the gap between technological potential an

APA, Harvard, Vancouver, ISO, and other styles

19

Jang, Kyoung-Ae, and Woo-Je Kim. "A Study on Attribute Index for Evaluation of Data Governance." KIPS Transactions on Software and Data Engineering 6, no. 2 (2017): 57–66. http://dx.doi.org/10.3745/ktsde.2017.6.2.57.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Woeltje, Keith F. "Perspective: Data Governance—Making Data Great." ACI Open 05, no. 02 (2021): e80-e83. http://dx.doi.org/10.1055/s-0041-1730383.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Ganachari, Girish. "DATA GOVERNANCE FOR ENTERPRISE DATA LAKES." Journal of Artificial Intelligence, Machine Learning and Data Science 1, no. 1 (2023): 958–61. http://dx.doi.org/10.51219/jaimld/girish-ganachari/228.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Scassa, Teresa. "Designing Data Governance for Data Sharing." Technology and Regulation 2020 (July 16, 2020): 44–56. https://doi.org/10.71265/d7yvsg86.

Full text

Abstract:

Data governance for data sharing is becoming an important issue in the rapidly evolving data economy and society. In the smart cities’ context, data sharing may be particularly important, but is also complicated by a diverse array of interests in data collected, as well as significant privacy and public interest considerations. This paper examines the data governance body proposed by Sidewalk Labs as part of its Master Innovation Development Plan for a smart city development on port lands in Toronto, Canada. Using Sidewalk Lab’s Urban Data Trust as a use case, this paper identifies some of the

APA, Harvard, Vancouver, ISO, and other styles

23

Kroll, Joshua A. "Data Science Data Governance [AI Ethics]." IEEE Security & Privacy 16, no. 6 (2018): 61–70. http://dx.doi.org/10.1109/msec.2018.2875329.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Aaronson, Susan Ariel. "Transatlantic Priorities: Data Governance." Intereconomics 56, no. 1 (2021): 59–60. http://dx.doi.org/10.1007/s10272-021-0952-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Pandya, Ashwin B., and Prachi Sharma. "Data‐Based Water Governance." Irrigation and Drainage 70, no. 1 (2021): 177–80. http://dx.doi.org/10.1002/ird.2574.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Dewey Bergren, Martha. "Data Governance and Stewardship." NASN School Nurse 34, no. 3 (2019): 149–51. http://dx.doi.org/10.1177/1942602x19838798.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Madison, Michael. "Tools for Data Governance." Technology and Regulation 2020 (July 16, 2020): 29–43. https://doi.org/10.71265/svpw6397.

Full text

Abstract:

This article describes the challenges of data governance in terms of the broader framework of knowledge commons governance, an institutional approach to gov- erning shared knowledge, information, and data resources. Knowledge commons governance highlights the potential for effective community- and collective-based governance of knowledge resources. The article focuses on key concepts within the knowledge commons framework rather than on specific law and public pol- icy questions, directing the attention of researchers and policymakers to critical inquiry regarding relevant social groups and re

APA, Harvard, Vancouver, ISO, and other styles

28

Gillhuber, Andreas, and Michaela Tiedemann. "Einführung in Data Governance." Controlling & Management Review 64, no. 2 (2020): 8–13. http://dx.doi.org/10.1007/s12176-020-0087-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Wilbanks, Debra, and Karen Lehman. "Data governance for SoS." International Journal of System of Systems Engineering 3, no. 3/4 (2012): 337. http://dx.doi.org/10.1504/ijsse.2012.052698.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Shah, Samarth, and Shubham Jain. "Data Governance in Lakehouse." Stallion Journal for Multidisciplinary Associated Research Studies 3, no. 5 (2024): 126–45. https://doi.org/10.55544/sjmars.3.5.12.

Full text

Abstract:

Data governance in a lakehouse architecture is crucial for managing the lifecycle, quality, and security of data across hybrid and scalable environments. The lakehouse model combines the benefits of data lakes and data warehouses, enabling organizations to handle large volumes of structured and unstructured data while ensuring analytical accuracy. However, the seamless integration of diverse data sources introduces challenges related to governance, including compliance, privacy, and data lineage. This paper explores the principles and practices essential for implementing effective data governa

APA, Harvard, Vancouver, ISO, and other styles

31

Liu, Yaoxi, Jinyu Wei, and Yifei Gu. "Optimization decision of supply chain data governance involving data governance service providers." International Journal of Industrial Engineering Computations 16, no. 2 (2025): 295–306. https://doi.org/10.5267/j.ijiec.2025.2.004.

Full text

Abstract:

Building on the use of digital technology in supply chain management, this paper integrates data governance service providers into the supply chain. Given the distinct nature of data governance services, the paper illustrated the learning effect curve and simulated their output function. Building on this, four different supply chain data governance models were proposed, namely, manufacturer single governance model, retailer single governance model, manufacturer and retailer independent governance model, and manufacturer and retailer collaborative governance model. Constructed the profit model

APA, Harvard, Vancouver, ISO, and other styles

32

Reddy Koilakonda, Raghunath. "Implementing Data Governance Frameworks for Enhanced Decision Making." International Journal of Science and Research (IJSR) 13, no. 6 (2024): 1239–43. http://dx.doi.org/10.21275/sr24618105346.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Arjun, Mantri. "Ensuring Data Security and Privacy During Data Migration." European Journal of Advances in Engineering and Technology 6, no. 3 (2019): 111–15. https://doi.org/10.5281/zenodo.13354011.

Full text

Abstract:

Data migration is a critical process for transferring data between different storage systems, formats, or computing environments, often driven by technological upgrades, cloud adoption, and organizational restructuring. Ensuring data security and privacy during this process is paramount to prevent data breaches and comply with regulatory requirements. This paper discusses comprehensive strategies, including encryption, access control, adherence to data protection regulations, and effective data governance, to mitigate risks associated with data migration. By implementing these techniques, orga

APA, Harvard, Vancouver, ISO, and other styles

34

Koltay, Tibor. "Data governance, data literacy and the management of data quality." IFLA Journal 42, no. 4 (2016): 303–12. http://dx.doi.org/10.1177/0340035216672238.

Full text

Abstract:

Data governance and data literacy are two important building blocks in the knowledge base of information professionals involved in supporting data-intensive research, and both address data quality and research data management. Applying data governance to research data management processes and data literacy education helps in delineating decision domains and defining accountability for decision making. Adopting data governance is advantageous, because it is a service based on standardised, repeatable processes and is designed to enable the transparency of data-related processes and cost reducti

APA, Harvard, Vancouver, ISO, and other styles

35

Mao, Zijun, Jingyi Wu, Yali Qiao, and Hong Yao. "Government data governance framework based on a data middle platform." Aslib Journal of Information Management 74, no. 2 (2021): 289–310. http://dx.doi.org/10.1108/ajim-03-2021-0068.

Full text

Abstract:

PurposeThe present paper constructed a new framework for government data governance based on the concept of a data middle platform to elicit the detailed requirements and functionalities of a government data governance framework.Design/methodology/approachFollowing a three-cycle activity, the design science research (DSR) paradigm was used to develop design propositions. The design propositions are obtained based on a systematic literature review of government data governance and data governance frameworks. Cases and experts further assessed the effectiveness of the implementation of the artif

APA, Harvard, Vancouver, ISO, and other styles

36

Calancea, Georgiana, Lenuta Alboaie, and Inga Titchiev. "Linked Data Lineage as a foundation of continuous data integration and modern data governance." Computer Science Journal of Moldova 33, no. 1(97) (2025): 91–112. https://doi.org/10.56415/csjm.v33.05.

Full text

Abstract:

Our paper focuses on Linked Data Lineage as the collection of modeled organizational data, enabling continuous integration and modern governance in Business-to-Business (B2B) sharing. We first explore approaches organizations adopt to enhance B2B data integration. Next, we highlight key B2B and Business-to-Government (B2G) linked data use cases and strategies for governance frameworks. We review software tools supporting data governance and propose a systemic method for defining organizational integration flows. This is demonstrated through a system enabling businesses to design linked data pi

APA, Harvard, Vancouver, ISO, and other styles

37

Mathes, Charles A. "Big Data Has Unique Needs for Information Governance and Data Quality." Journal of Management Science and Business Intelligence 1, no. 1 (2016): 12–20. https://doi.org/10.5281/zenodo.376753.

Full text

Abstract:

Enterprises that are venturing into the technical environment of big data and are attempting to create a data lake environment need to take precautions. The principles of information governance and data quality need to be applied to the new world of big data to avoid the trap of the data lake turning into a data swamp. Applying the seven V’s of big data as foundational principles for information governance and data quality will help ensure the long-term success of the expertise big data environment.

APA, Harvard, Vancouver, ISO, and other styles

38

Abhijit, Joshi. "Quantum Leap in Data Governance: Navigating Big Data and AI Compliance - Exploring the Evolving Landscape of Data Governance in the Context of Big Data and AI, with a Focus on Compliance with GDPR and CCPA." European Journal of Advances in Engineering and Technology 7, no. 10 (2020): 80–85. https://doi.org/10.5281/zenodo.11900425.

Full text

Abstract:

The proliferation of big data and artificial intelligence (AI) has ushered in a new era of opportunities and challenges in data governance. This paper explores the evolving landscape of data governance with a particular focus on compliance with stringent regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). It delves into strategies for managing data privacy, ensuring data quality, and maintaining compliance within complex data environments. Through detailed methodologies, pseudocode, and analytical graphs, this paper aims to provide

APA, Harvard, Vancouver, ISO, and other styles

39

Malviya, Shreekant. "AI-Powered Data Governance for Insurance: A Comparative Tool Evaluation." International journal of data science and machine learning 05, no. 01 (2025): 280–99. https://doi.org/10.55640/ijdsml-05-01-24.

Full text

Abstract:

As insurers are increasingly utilizing artificial intelligence for underwriting, pricing, and claims processing in an automated manner, end-to-end, open, and industry-level data governance solutions became the top priority. Although numerous AI-driven governance technologies are available, they are mostly purpose-built for generic corporate requirements and do not entirely meet the decision-making-oriented, ethics-conscious, and regulation-compliant insurance industry requirements. This paper presents a comparative evaluation of six top governance platforms—Collibra, Informatica CLAIRE, BigID,

APA, Harvard, Vancouver, ISO, and other styles

40

Researcher. "OPTIMIZING HEALTHCARE DATA GOVERNANCE: ENSURING ACCURACY, INTEGRITY, AND ACCESSIBILITY FOR ENHANCED DECISION-MAKING." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 1–9. https://doi.org/10.5281/zenodo.14039753.

Full text

Abstract:

In the era of digital transformation, healthcare organizations are getting dealing with huge volumes of data emanating from different sources such as EHRs, medical devices, patient portals, genomic sequencing, wearable technologies, among others. Handling such data responsibly requires appropriate data governance so that maximum value can be extracted for improvement in clinical and operational decision-making. However, data governance in healthcare also presents specific challenges, such as information silos, inconsistent quality of data, privacy and security, difficulty in complying with reg

APA, Harvard, Vancouver, ISO, and other styles

41

Kim, Tae Wan, Jooho Lee, Joseph Xu, and Bryan Routledge. "Corporate Data Governance: Are Data Subjects Investors?" Academy of Management Proceedings 2020, no. 1 (2020): 13855. http://dx.doi.org/10.5465/ambpp.2020.287.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Ethirajan, D., and Dr Purushotham. "Big Data Performance Evaluation for Effective E-governance Applications." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (2019): 1498–502. http://dx.doi.org/10.5373/jardcs/v11sp10/20192995.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Gupta, Saurabh. "Enhancing Data Governance in Banking with Ab Initio Tools." International Journal of Science and Research (IJSR) 14, no. 2 (2025): 1206–11. https://doi.org/10.21275/sr25217025134.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Joseph, Aaron Tsapa. "Leading the Data-Driven Enterprise: Integrating Robust Data Governance and Quality Frameworks for Sustainable Success." Journal of Scientific and Engineering Research 8, no. 6 (2021): 135–41. https://doi.org/10.5281/zenodo.11220731.

Full text

Abstract:

This paper underscores data governance and quality control system development strategies to ensure sustainable data-driven business operations. It focuses on how to handle data growth and how data is owned and emphasizes the need for data management and assurance of quality data. The aim has been discussed to reveal those pitfalls and to teach the best way to use the data. Data governance and quality frameworks need to be enacted, meaning the basis of that is data reliability, acceptance, and utility in decision-making informed by deep analytics and innovation. It will be a paper compiling var

APA, Harvard, Vancouver, ISO, and other styles

45

Eke, Damian O., Amy Bernard, Jan G. Bjaalie, et al. "International data governance for neuroscience." Neuron 110, no. 4 (2022): 600–612. http://dx.doi.org/10.1016/j.neuron.2021.11.017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Pansara, Ronak. "Master Data Governance Best Practices." International Journal of Computer Science and Mobile Computing 10, no. 11 (2021): 1–3. http://dx.doi.org/10.47760/ijcsmc.2021.v10i11.001.

Full text

Abstract:

Master data governance is not a new field, and it has existed since the early 90s (8). However, the demand for master data governance has been rising recently due to the ever-increasing demand for cost optimization, faster product innovations, compliance with the set rules and regulations, and competitive advantage in the business field. One of the areas in which companies can achieve master data governance is through maintaining consistent data quality. Handling data is one of the pain areas in most companies due to the complicities involved in managing data. Still, companies that succeed in

APA, Harvard, Vancouver, ISO, and other styles

47

Wang, Jing, Dang Que Nguyen, Tatiana Bonkalo, and Oleg Grebennikov. "Smart governance of urban data." E3S Web of Conferences 301 (2021): 05005. http://dx.doi.org/10.1051/e3sconf/202130105005.

Full text

Abstract:

This paper focuses on the smart governance of urban data. Recently, the idea of an intelligent city has gained increased attention among technologists, urban scientists, stakeholders, companies and policy makers in the last decades. The new paradigm of the cities in the 21st century and what it entails is seen by everyone, including the authors of this article, as a viable response to the unprecedented rate of urbanization most nations are experiencing. Advanced smart cities are beginning to go beyond infrastructure and to use big data. The whole idea behind smart cities is to harness intellig

APA, Harvard, Vancouver, ISO, and other styles

48

Costello, Jim. "Data Governance of Irish Food." Journal of Decision Systems 25, sup1 (2016): 597–604. http://dx.doi.org/10.1080/12460125.2016.1192085.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

CHUNG, Andy WL, Wai Ming TO, and Lavin Y. M. YEUNG. "Data governance for soundscape studies." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 8 (2024): 3900–3906. http://dx.doi.org/10.3397/in_2024_3389.

Full text

Abstract:

Soundscape research involves a complex array of data types, as soundscapes are defined by how acoustic environments are perceived and experienced by individuals within specific contexts. These studies typically incorporate a variety of data, including acoustic measurements, psychometric evaluations (both qualitative and quantitative), such as assessments of loudness and sharpness, as well as visual data (images and videos), assessments of crowd density (evaluating both the number of individuals and their activities), and geospatial and temporal data (detailing location specifics, environmental

APA, Harvard, Vancouver, ISO, and other styles

50

Peter de Souza, Siddharth, Hellen Mukiri Smith, and Linnet Taylor. "Decolonial Data Law and Governance." Technology and Regulation 2024 (March 18, 2024): 1–11. https://doi.org/10.71265/rvwfyt51.

Full text

Abstract:

In the introduction to this special issue, we propose a decolonial take on data law and governance across three aspects through the dismantling of hegemonic structures, the embracing of pluriversality and finally the decentering of data and technology. The special issue covers papers that discuss a) what decolonisation means in relation to data law and governance for the digital economy, b) what kinds of methods should be employed to develop data governance frameworks that account for different infrastructural, social, and political contexts, and c) vocabularies and imaginations for how to reg

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!