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Implications of Big Data & Data Science on Publishing

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American Association of publishers Meeting Feb 8, 2018 Washington DC

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Implications of Big Data & Data Science on Publishing

  1. 1. Implications of Big Data & Data Science on Publishing Philip E. Bourne PhD, FACMI Stephenson Chair of Data Science Director, Data Science Institute Professor of Biomedical Engineering peb6a@virginia.edu https://www.slideshare.net/pebourne 02/08/18 AAP - Professional & Scholalrly Publishing 1
  2. 2. What Do I Mean by Big Data/Data Science? • Use of the ever increasing amount of open, complex, diverse digital data • Finding ways to ask and then answer relevant questions by combing such diverse data sets • Arriving at statistically significant conclusions not otherwise obtainable • Sharing such findings in a useful way • Translating such findings into actions that improve the human condition 02/08/18 AAP - Professional & Scholalrly Publishing 2
  3. 3. Data science by its transformative nature creates a new type of environment and sociology on campuses… Publishers can leverage this 02/08/18 AAP - Professional & Scholalrly Publishing 3
  4. 4. 02/08/18 AAP - Professional & Scholalrly Publishing 4 Working across the grounds to break down traditional silos
  5. 5. Perspective (Bias) • Leading a campus initiative in data science where: – Total commitment to Jeffersonian principles • Academical village meets Google – Student numbers rising rapidly • On-line • MS & Dual degree • Certificate programs – Research is way cool…. 02/08/18 AAP - Professional & Scholalrly Publishing 5
  6. 6. Research is way cool… Speaks to new types of content as well as forms of content Consider 3 quick examples... 02/08/18 AAP - Professional & Scholalrly Publishing 6
  7. 7. Censorship and Detecting Deception: A Data- Driven Look at Obfuscation in Soviet Dissident Writing Versus Misinformation in the USSR and Post-Truth Journalism in America 02/08/18 AAP - Professional & Scholalrly Publishing 7 V’s • Text mining • Semantic reasoning Departments: Slavic Languages Literature
  8. 8. Air pollution-ecosystem feedbacks: unmanned aerial vehicles and ecosystem models to quantify ozone-forest interactions 02/08/18 AAP - Professional & Scholalrly Publishing 8 • Spatial heterogeneity • Novel sampling • Senor data Departments: Environmental Sciences Electrical Engineering
  9. 9. Normativity is the phenomenon in human societies of designating some actions or outcomes as good or desirable or permissible and others as bad or undesirable or impermissible. A norm in this normative sense means a standard for evaluating or making judgments about behavior or outcomes. 02/08/18 AAP - Professional & Scholalrly Publishing 9 What happens when machines define the norms? • Text mining • Feature extraction • Ethics! Departments: Law School Inst Practical Ethics (?)
  10. 10. Okay.. That was content what about format … 02/08/18 AAP - Professional & Scholalrly Publishing 10
  11. 11. Discussion Points – Drivers of Change? • Data and analytics are pervading every field • Academia is changing • Students work this way then retrofit to publications loosing the context of the work • 88% of data in published papers is dark data • 80-90% of the work is finding (when you can) and engineering the data 02/08/18 AAP - Professional & Scholalrly Publishing 11
  12. 12. Acknowledgements 02/08/18 AAP - Professional & Scholalrly Publishing 12 The ~150 folks who have passed through my laboratory https://docs.google.com/spreadsheets/d/1QZ48UaKcwDl_iFCvBmJsT03FK-bMchdfuIHe9Oxc-rw/edit#gid=0
  13. 13. Thank You peb6a@virginia.edu 1302/08/18 AAP - Professional & Scholalrly Publishing

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