Information scienceSee also what's at Wikipedia, your library, or elsewhere.
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Filed under: Information science
Filed under: Information science -- Dictionaries
Filed under: Information science -- PeriodicalsFiled under: Information science -- PhilosophyFiled under: Information science -- Statistical methodsFiled under: Bioinformatics- Bioinformatics in Tropical Disease Research: A Practical and Case-Study Approach (2008), ed. by Arthur Gruber, Alan M. Durham, Chong Huynh, and Hernando A. del Portillo (illustrated HTML at NIH)
- Clever Algorithms: Nature-Inspired Programming Recipes (c2011), by Jason Brownlee
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction (second edition, 2009), by Trevor Hastie, Robert Tibshirani, and J. H. Friedman (PDF with commentary at Stanford)
Filed under: DocumentationFiled under: GeomaticsFiled under: Information organizationFiled under: Information policyFiled under: Information resources- The Network Reshapes the Library: Lorcan Dempsey on Libraries, Services, and Networks (Chicago: ALA Editions, 2014), by Lorcan Dempsey, ed. by Kenneth J. Varnum (PDF with commentary at oclc.org)
- Open at the Margins: Critical Perspectives on Open Education, ed. by Maha Bali, Catherine Cronin, Laura Czerniewicz, Robin DeRosa, and Rajiv Jhangiani (multiple formats at rebus.community)
Filed under: Information retrievalFiled under: Information visualization- Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code (open-access web edition; 2021), by Jack Dougherty and Ilya Ilyankou (illustrated HTML an handsondataviz.org)
- Data Visualization in Society (Amsterdam: Amsterdam University Press, c2020), ed. by Martin Engebretsen and Helen Kennedy (PDF files with commentary at aup.nl and JSTOR)
- Viral Networks: Connecting Digital Humanities and Medical History (Blacksburg, VA: VT Publishing, 2018), ed. by E. Thomas Ewing and Katherine Randall (multiple formats with commentary at VT Publishing)
- Introduction to Data Science: Data Analysis and Prediction Algorithms With R (Creative Commons online edition, 2021), by Rafael A. Irizarry (illustrated HTML with commentary at github.uio)
- The Data Journalism Handbook (electronic first edition, c2012), ed. by Liliana Bounegru, Lucy Chambers, and Jonathan Gray (illustrated HTML with commentary at datajournalismhandbook.org)
- The Data Journalism Handbook 2: Towards a Critical Data Practice (online edition, ca. 2021), ed. by Jonathan Gray and Liliana Bounegru (illustrated HTML with commentary at datajournalism.com)
- Introduction to Cultural Analytics and Python (c2021), by Melanie Walsh (interactive illustrated HTML at github.io)
- digitalSTS: A Field Guide for Science and Technology Studies (Princeton: Princeton University Press, c2019), ed. by Janet Vertesi and David Ribes (PDF files and multimedia with commentary at digitalsts.net)
- D3.js Tips and Tricks, by Malcolm Maclean (JavaScript-dependent illustrated HTML at leanpub.com)
Filed under: Medical informatics- Fundamentals of Clinical Data Science (Cham: Springer Open, c2019), ed. by Pieter Kubben, Michel Dumontier, and A. L. A. J. Dekker (multiple formats at Springer Link)
- Bringing Health Care Online: The Role of Information Technologies (1995), by United States Congress Office of Technology Assessment (PDF files at Princeton)
- Health Data in the Information Age: Use, Disclosure, and Privacy (1994), by Institute of Medicine (U.S.) (page images with commentary at NAP)
- The Fourth Paradigm: Data-Intensive Scientific Discovery (Redmond, WA: Microsoft Research, c2009), ed. by Anthony J. G. Hey, Stewart Tansley, and Kristin Michele Tolle (PDF files with commentary at Microsoft)
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