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Data Sciences and Analytics

Grey Literature

Grey literature databases identify resources that are key to research and scholarship. Many are open resources that go through a quality control process before they are published.

Definitions are scholarly dictionaries, encyclopedias and handbooks that help define terms and provide additional context. Since data science, big data... are disciplinary concepts specific to different areas of statistics, data, mathematics, infomatics, computer science, programming, analytics... there are few handbooks, dictionaries and encyclopedias that encompass this emergent field.

  Data Science Ethics: Concepts, Techniques, and Cautionary Tales (2022)

  Big Data: A New Medium (2021)

  Why AI/Data Science Projects Fail: How to Avoid Project Pitfalls (2021)

  Fundaments of Data Engineering (2022, O'Reilly)

  NetLingo Dictionary (current)

Patents are legal documents issued by a national or international patent agency that document an intellectual property to an exclusive invention, product or process 

Standards are important documents that define a set of technical definitions, specifications, and guidelines for a product, process, or guideline.

Theses and Dissertations are important unpublished resources granted and retained by universities as capstone projects, these, and dissertations.

Open Education Resources (OERs) are digital ebooks and learning objects that can be used as open textbooks on a wide variety of general and disciplinary subjects.