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On Understanding Data Scientists
12 references·2 citing·45 second hop
On Understanding Data Scientists (2020)On Understanding Data ScientistsHow Data Science Workers Work with Data (2019)How Data Science Workers Work…The application of Big Data in medicine: current implications and future directions (2016)The application of Big Data i…Use of Big Data for Competitive Advantage of Company (2015)Use of Big Data for Competiti…Data scientists as game changers in big data environments (2014)Data scientists as game chang…Beyond the hype: Big data concepts, methods, and analytics (2014)Beyond the hype: Big data con…GRANULARITIES AND INCONSISTENCIES IN BIG DATA ANALYSIS (2013)GRANULARITIES AND INCONSISTEN…Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)Data Science, Predictive Anal…Data Science and its Relationship to Big Data and Data-Driven Decision Making (2013)Data Science and its Relation…Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work (2013)Analyzing the Analyzers: An I…Motivating salespeople: what really works. (2012)Motivating salespeople: what …Principles of survey research (2002)Principles of survey researchAsking Questions: Techniques for Semistructured Interviews (2002)Asking Questions: Techniques …Understanding Data Toward Going to Data Science (2022)Understanding Data Toward Goi…Interrogating Data Work as a Community of Practice (2022)Interrogating Data Work as a …Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance? 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(2018)A Bibliometric Analysis of the Development of ICD-11 in Medical Informatics (2019)The reflective practitioner: How professionals think in action (1984)The Reflective Practitioner: How Professionals Think in Action (1985)Constructing grounded theory (2014)Human-AI Collaboration in Data Science (2019)Overview and Importance of Data Quality for Machine Learning Tasks (2020)What's Wrong with Computational Notebooks? Pain Points, Needs, and Design Opportunities (2020)Managing Customer Relationships in the Social Media Era: Introducing the Social CRM House (2013)Challenges and solutions for marketing in a digital era (2014)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)How Well Do My Results Generalize? Comparing Security and Privacy Survey Results from MTurk, Web, and Telephone Samples (2019)Describing Populations and Samples in Doctoral Student Research (2021)Analyzing the integrated effect of circular economy, Lean Six Sigma, and Industry 4.0 on sustainable manufacturing performance from a practice‐based view perspective (2023)Design Considerations for Building Distributed Supply Chain Management Systems Based on Cloud Computing (2015)Healthcare data scientist qualifications, skills, and job focus: a content analysis of job postings (2018)The Development of the INFEWS-ER: A Virtual Resource Center for Transdisciplinary Graduate Student Training at the Nexus of Food, Energy, and Water (2019)
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References

  • 2014Beyond the hype: Big data concepts, methods, and analytics4,222 cited
  • 2013Data Science and its Relationship to Big Data and Data-Driven Decision Making1,569 cited
  • 2013Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management1,518 cited
  • 2002Asking Questions: Techniques for Semistructured Interviews795 cited
  • 2012Motivating salespeople: what really works.547 cited
  • 2002Principles of survey research331 cited
  • 2019How Data Science Workers Work with Data262 cited
  • 2015Use of Big Data for Competitive Advantage of Company127 cited
  • 2016The application of Big Data in medicine: current implications and future directions87 cited
  • 2013Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work62 cited
  • 2014Data scientists as game changers in big data environments27 cited
  • 2013GRANULARITIES AND INCONSISTENCIES IN BIG DATA ANALYSIS23 cited

Cited by

  • 2022Interrogating Data Work as a Community of Practice29 cited
  • 2022Understanding Data Toward Going to Data Science10 cited

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