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When we talk about Big Data, What do we really mean? Toward a more precise definition of Big Data
16 references·1 citing·43 second hop
When we talk about Big Data, What do we really mean? Toward a more precise definition of Big Data (2024)When we talk about Big Data, What do we r…The Challenge of Big Data and Data Science (2019)The Challenge of Big Data and…Method for conducting systematic literature review and meta-analysis for environmental science research (2019)Method for conducting systema…Big data: the end of the scientific method? (2019)Big data: the end of the scie…Research on Big Data – A systematic mapping study (2017)Research on Big Data – A syst…Understanding big data themes from scientific biomedical literature through topic modeling (2016)Understanding big data themes…Big Data: Concepts, Challenges and Applications (2015)Big Data: Concepts, Challenge…Seven V's of Big Data understanding Big Data to extract value (2014)Seven V's of Big Data underst…Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …Challenges of Big Data analysis (2014)Challenges of Big Data analys…Big Data, new epistemologies and paradigm shifts (2014)Big Data, new epistemologies …Big data, bigger dilemmas: A critical review (2014)Big data, bigger dilemmas: A …Big Data - Characterizing an Emerging Research Field Using Topic Models (2014)Big Data - Characterizing an …Is “Big Data” creepy? (2013)Is “Big Data” creepy?The pathologies of big data (2009)The pathologies of big dataComparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses (2007)Comparison of PubMed, Scopus,…Systematic Reviews in the Social Sciences (2006)Systematic Reviews in the Soc…Social entrepreneurship: challenges, risks, and opportunities (2025)Social entrepreneurship: chal…Frame Analysis: An Essay on the Organization of Experience. (1975)Structural Holes (1992)Power failure: why small sample size undermines the reliability of neuroscience (2013)A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism (2016)Towards felicitous decision making: An overview on challenges and trends of Big Data (2016)The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity (2019)The data warehouse toolkit: practical techniques for building dimensional data warehouses (1996)Big Data and supply chain management: a review and bibliometric analysis (2016)Data colonialism through accumulation by dispossession: New metaphors for daily data (2016)Algorithms at Work: The New Contested Terrain of Control (2019)Big data: The next frontier for innovation, competition, and productivity (2011)Critical analysis of Big Data challenges and analytical methods (2016)A survey on deep learning for big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)THE STRUCTURE OF SCIENTIFIC REVOLUTIONS (1963)The Structure of Scientific Revolutions (1963)CRITICAL QUESTIONS FOR BIG DATA (2012)Algorithmic regulation: A critical interrogation (2017)Working and organizing in the age of the learning algorithm (2018)A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022)The Information Artifact in IT Governance: Toward a Theory of Information Governance (2013)A bibliometric approach to tracking big data research trends (2017)Big data technologies and Management: What conceptual modeling can do (2017)Big data monetization throughout Big Data Value Chain: a comprehensive review (2020)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Beyond the hype: Big data concepts, methods, and analytics (2014)Exploring Big Data Governance Frameworks (2018)Digitalization of Agri-Cooperatives in the Smart Agriculture Context. Proposal of a Digital Diagnosis Tool (2020)Theme Mapping and Bibliometrics Analysis of One Decade of Big Data Research in the Scopus Database (2020)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)The ABC of systematic literature review: the basic methodological guidance for beginners (2020)How-to conduct a systematic literature review: A quick guide for computer science research (2022)Adoption of green finance and green innovation for achieving circularity: An exploratory review and future directions (2023)Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics (2017)Artificial Intelligence and Management: The Automation–Augmentation Paradox (2021)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching (2015)Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources (2019)Methods for the thematic synthesis of qualitative research in systematic reviews (2008)Purposeful Sampling in Qualitative Research Synthesis (2011)Guidance on Conducting a Systematic Literature Review (2017)
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References

  • 2007Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses5,030 cited
  • 2006Systematic Reviews in the Social Sciences3,582 cited
  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,046 cited
  • 2014Big Data, new epistemologies and paradigm shifts2,351 cited
  • 2014Challenges of Big Data analysis1,482 cited
  • 2019Method for conducting systematic literature review and meta-analysis for environmental science research1,107 cited
  • 2009The pathologies of big data680 cited
  • 2014Big data, bigger dilemmas: A critical review308 cited
  • 2014Seven V's of Big Data understanding Big Data to extract value290 cited
  • 2017Research on Big Data – A systematic mapping study146 cited
  • 2019The Challenge of Big Data and Data Science111 cited
  • 2019Big data: the end of the scientific method?101 cited
  • 2013Is “Big Data” creepy?93 cited
  • 2016Understanding big data themes from scientific biomedical literature through topic modeling39 cited
  • 2015Big Data: Concepts, Challenges and Applications34 cited
  • 2014

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Big Data - Characterizing an Emerging Research Field Using Topic Models
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