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Keyword

data veracity

Description: A data-quality concept describing the trustworthiness, accuracy, and reliability of data used in analytics and information systems.
OpenAlex ID: keywords/data-veracity
Data‐Driven Materials Science: Status, Challenges, and Perspectives
2019 · Lauri Himanen, Amber Geurts, et al. · Advanced Science · 802
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Factors influencing big data decision-making quality
2016 · Marijn Janssen, Haiko van der Voort, et al. · Journal of Business Research · 798
Retraction—Hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19: a multinational registry analysis
2020 · Mandeep R Mehra, Frank Ruschitzka, et al. · The Lancet · 553
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Does big data enhance firm innovation competency? The mediating role of data-driven insights
2019 · Maryam Ghasemaghaei, Goran Calic · Journal of Business Research · 333
Big Data in Agriculture: A Challenge for the Future
2017 · Keith H Coble, Ashok K Mishra, et al. · Applied Economic Perspectives and Policy · 326
Toward efficient and privacy-preserving computing in big data era
2014 · Rongxing Lu, Hui Zhu, et al. · IEEE Network · 325
Data quality: The other face of Big Data
2014 · Barna Saha, Divesh Srivastava · Proceedings - International Conference on Data Engineering · 262
Big data technologies and Management: What conceptual modeling can do
2017 · Veda C. Storey, Il-Yeol Song · Data & Knowledge Engineering · 259
Analysis of Big Data technologies for use in agro-environmental science
2016 · Rob Lokers, Rob Knapen, et al. · Environmental Modelling & Software · 210
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Toward a Literature-Driven Definition of Big Data in Healthcare
2015 · Emilie Baro, Samuel Degoul, et al. · BioMed Research International · 210
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Big data analytics for smart factories of the future
2020 · Robert X. Gao, Lihui Wang, et al. · CIRP Annals · 171
Big data for development: applications and techniques
2016 · Anwaar Ali, Junaid Qadir, et al. · Big Data Analytics · 152
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Understanding the impact of big data on firm performance: The necessity of conceptually differentiating among big data characteristics
2019 · Maryam Ghasemaghaei · International Journal of Information Management · 135
BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking
2014 · Zijian Ming, Chunjie Luo, et al. · Lecture notes in computer science · 99
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Computing on masked data: a high performance method for improving big data veracity
2014 · Jeremy Kepner, Vijay Gadepally, et al. · IEEE High Performance Extreme Computing Conference · 89
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The 10 Vs, Issues and Challenges of Big Data
2018 · Nawsher Khan, Mohammed Alsaqer, et al. · International Conference on Big Data and Education (ICBDE) · 83
Research challenges of big data
2019 · Muhammad Younas · Service Oriented Computing and Applications · 80
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Learning from Uncertainty for Big Data: Future Analytical Challenges and Strategies
2016 · Xizhao Wang, Yulin He · IEEE Systems Man and Cybernetics Magazine · 80
Big Data and Predictive Business Analytics
2014 · Ying Liu · 79
Undermining ‘data’: A critical examination of a core term in scientific inquiry
2013 · Annette N. Markham · First Monday · 74
From Big Noise to Big Data: Toward the Verification of Large Data sets for Understanding Regional Retail Flows
2015 · Robin Lovelace, Mark Birkin, et al. · Geographical Analysis · 72
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Big Data
2014 · Sugumaran, Ramanathan, Burnett, Jeffrey, et al. · CRC Press eBooks · 72
Feature engineering in big data analytics for IoT-enabled smart manufacturing – Comparison between deep learning and statistical learning
2020 · Devarshi Shah, Jin Wang, et al. · Computers & Chemical Engineering · 69
Soft Sensing in Smart Cities: Handling 3Vs Using Recommender Systems, Machine Intelligence, and Data Analytics
2018 · Hadi Habibzadeh, Andrew Boggio-Dandry, et al. · IEEE Communications Magazine · 64
Changes in academic libraries in the era of Open Science
2020 · Stefka Tzanova · Education for Information · 57
Works count: 464
Citation count: 8,199
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