data

2) In computer component interconnection and network communication, data is often distinguished from "control information," "control bits," and similar terms to identify the main content of a transmission unit.

3) In telecommunications, data sometimes means digital-encoded information to distinguish it from analog-encoded information such as conventional telephone voice calls. In general, "analog" or voice transmission requires a dedicated continual connection for the duration of a related series of transmissions. Data transmission can often be sent with intermittent connections in packets that arrive in piecemeal fashion.

4) Generally and in science, data is a gathered body of facts.

Some authorities and publishers, cognizant of the word's Latin origin and as the plural form of "datum," use plural verb forms with "data". Others take the view that since "datum" is rarely used, it is more natural to treat "data" as a singular form.

Learn more about Data stewardship

Creating successful data stewardship programs, with Jill Dyché: Learn how data stewardship fits into data governance and data quality management programs, from Jill Dyché.
	The models of data stewardship: how to run a data governance program: At the TDWI World Conference, industry experts Jill Dyche and Kimberly Nevala explained their five data stewardship models and discussed how to create a successful data governance process.
MDM vendors improve data quality, stewardship, according to Gartner: With a focus on better data quality and data stewardship capabilities, IBM, Oracle and Initiate Systems top Gartner's Magic Quadrant Report for MDM for customer data.
How to use the data governance model for business success: In this book excerpt, learn about the seven styles of communications of a data governance body and how to use the data governance model to make your business a success.
Data quality management and governance tutorial: This data quality and governance tutorial introduces best practices and technology considerations for maintaining accurate, current and concise data.
Thirteen causes of enterprise data quality problems: Find out which 13 processes are most likely to cause enterprise data quality management problems, and learn how to deal with them.
	Data management books: Read sample chapters from industry-renowned data management books. Browse free excerpts about BI, compliance and security, EDI, data warehousing, data quality and data governance.
Data governance and data stewardship strategies and best practices: This chapter examines key steps of a generic data governance strategy program and discusses the concept of data stewards and their role in assessing and managing data quality.

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More resources from around the web: - "How Much Information?" is an ongoing project to calculate the world's ability to generate information.

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RELATED GLOSSARY TERMS Terms from Whatis.com − the technology online dictionary data governance  (SearchDataManagement.com) Data governance (DG) refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. ...