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What is Data? (University of Guelph McLaughlin Library)

Resources

These are organized by a classification scheme developed exclusively for Cosma. More…

General

Dictionary

data : factual information (such as measurements or statistics) used as a basis for reasoning, discussion, or calculation — Webster

Free Dictionary, Wiktionary, OneLook

Thesaurus

Roget’s II (Thesaurus.com), Merriam-Webster Thesaurus, Visuwords

Encyclopedia

Data are units of information, often numeric, that are collected through observation. In a more technical sense, data are a set of values of qualitative or quantitative variables about one or more persons or objects, while a datum (singular of data) is a single value of a single variable. Although the terms “data” and “information” are often used interchangeably, these terms have distinct meanings. Data are sometimes said to be transformed into information when they are viewed in context or in post-analysis. — Wikipedia

Encyclopædia Britannica

Innovation

Big Data deals with ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (columns) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. — Wikipedia

What is Big Data Big Data Types Types of Data Structured Data Unstructured Data (knowledge hut)

What is Big Data (SAS)
Big data: The next frontier for innovation, competition, and productivity (James Manyika, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs, Charles Roxburgh, Angela Hung Byers, McKinsey & Company)

Science

Data science uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data,and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. — Wikipedia

Demystifying Data Science (Mr.Asitang Mishra, TEDxOakLawn)