You probably use the word data several times a day without pausing to think about what it actually means. Mobile data, exam data, weather data, research data. The word has become so common that its meaning feels obvious. Yet behind this small four-letter word sits a long history that stretches back to Latin grammar and ancient Greek geometry, and a definition that shifts depending on whether you ask a dictionary, an international standards body, or a computer scientist. Understanding what data really means is the first step in the study of information and society, because everything else, from information systems to libraries to the digital economy, is built on top of it.

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Where the word “data” comes from

The word data comes from Latin. It is the plural form of the noun datum, which is the neuter past participle of the verb dare, meaning “to give”. Put simply, datum literally means “that which is given”, and data means “the things that are given”. This origin is important. It tells us that data, at its root, is something handed over or presented to us as a starting point, before we have done anything with it.

This sense of “the givens” is far older than computers. One of the works of the Greek mathematician Euclid, written around 300 BC, was titled Dedomena, which translates into Latin as Data. In geometry and mathematics, the “givens” of a problem are the facts you accept at the start so you can reason towards a solution. The first recorded use of the word data in English dates from the 1640s, and the now familiar meaning of data as storable and transmissible computer information appeared only in 1946. So the word travelled a long way, from a verb meaning “to give”, to a term for the assumptions in a geometry proof, to the digital information that powers modern life.

Why “given” still matters

The Latin idea of “that which is given” is not just trivia. It captures a key property of data that holds true even today. Data is raw material. It is accepted as it stands, before interpretation. A temperature reading, a date of birth, a price, a roll number, these are simply given to us. They carry no built-in meaning or judgement on their own. We supply the meaning later, when we organise and interpret them. Keeping this original sense in mind helps explain why data is treated as the foundation on which information and knowledge are later constructed.

How different sources define data

There is no single official definition of data. Instead, different fields and authorities describe it in ways that suit their purpose. Looking at a few of these side by side shows how the meaning ranges from plain everyday facts to highly technical formal descriptions.

Dictionary definitions

General dictionaries tend to keep things simple and practical. The Merriam-Webster definition describes data as factual information, such as measurements or statistics, used as a basis for reasoning, discussion, or calculation. The Cambridge Dictionary explains data as information, especially facts or numbers, collected to be examined and used to help decision-making, while also noting the electronic form that a computer can store and use. The Collins Dictionary frames it as facts or figures to be processed, including evidence, records, and statistics from which conclusions can be drawn. Across all three, the common thread is clear: data is the collection of facts and figures that we examine to reach conclusions or make decisions.

The formalised, standards-based definition

When we move from everyday language to technical and information science contexts, the definition becomes more precise and more formal. A widely used formulation defines data as a representation of facts, concepts, or instructions in a formalised manner suitable for communication, interpretation, or processing by humans or by automatic means. This formal style of definition is favoured by international standards bodies. The international vocabulary standard for information and documentation, ISO defines data as a reinterpretable representation of information in a formalised manner fit for communication, interpretation, or processing. International organisations such as UNESCO and other standards authorities adopt similar formalised definitions precisely because they need wording that works equally well for a human reader and a machine.

Notice the difference in emphasis. A dictionary stresses what data is, namely facts and figures. The formal definition stresses how data is represented and processed. It introduces the words “concepts” and “instructions”, which means a set of symbols, a program command, or a coded value can all count as data, not just numbers and facts. This wider, processing-focused view is the one most relevant to computing and information systems.

Data, information, and knowledge: where data sits

To fully grasp the meaning of data, it helps to see where it fits in relation to information and knowledge. In information science, these three are usually arranged in a hierarchy, often presented as the DIKW model, which stands for Data, Information, Knowledge, and Wisdom. According to the ISKO Encyclopedia of Knowledge Organization, the DIKW hierarchy has been used widely within information science and knowledge management to describe how these concepts relate to one another.

In this model, data sits at the base. It is the raw, unprocessed facts and figures with no context attached. When data is organised, given context, and made meaningful, it becomes information. When information is understood, connected, and applied, it becomes knowledge. A simple way to remember it: the number 28 on its own is data. “The maximum temperature in Delhi today is 28 degrees Celsius” is information. Knowing from experience that 28 degrees is pleasant and you can step out without a jacket is knowledge. The same raw figure becomes more valuable at each stage as meaning is added.

This placement explains why data is described as the least abstract and most basic of the three. A census record, an exam mark sheet, or a list of library book accession numbers are all data. They become genuinely useful only once they are processed into information that supports a decision.

Data as a collective noun: singular or plural?

One question that confuses many students is whether data is singular or plural. Should you write “the data is” or “the data are”? The honest answer is that both are accepted, and the choice depends on the context and the style you are following.

The plural tradition

Because data was originally the Latin plural of datum, it was historically treated as a plural noun. In this usage, a single item is a datum and several items are data, so you would write “these data are reliable”. This plural treatment is still common in scientific and academic writing, where precision matters and journal style guides often require it. The grammatical debate over data as plural or singular has continued for a long time, and the plural form remains the standard in much technical research.

The singular mass-noun usage

In everyday writing and speech, however, most people now treat data as a singular mass noun, much like the word “information”. We naturally say “the data is being transferred” rather than “the data are being transferred”. The singular datum has become rare, and even when referring to a single value, people usually say “a piece of data” instead. As the Collins usage note explains, data is today used both as a plural noun and as a singular mass noun meaning information, with the singular treatment dominating outside scientific contexts.

Which should you use?

For students, the practical rule is straightforward. If you are writing a science report or an academic paper, check the required style guide, and lean towards the plural “data are”. For general writing, essays, and ordinary conversation, the singular “data is” is widely accepted and sounds more natural. The key is to stay consistent within a single piece of writing rather than switching back and forth.

Why the meaning of data matters today

Understanding the meaning of data is more than an exercise in vocabulary. We live in a society increasingly shaped by data, from online services and digital governance to research and commerce. Recognising that data is raw, given material, that it can be defined plainly as facts or formally as a structured representation for processing, and that it forms the base of the journey towards knowledge, gives you the right foundation for everything that follows in the study of information and society. The small word with Latin roots turns out to be the building block of the entire information age.

What do you think? Does the original Latin meaning of data as “that which is given” still hold true in an age where so much data is automatically generated rather than deliberately handed over? And in your own writing, do you find it more natural to treat data as singular or as plural?

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References
  1. https://en.wikipedia.org/wiki/Data
  2. https://www.merriam-webster.com/dictionary/data
  3. https://dictionary.cambridge.org/dictionary/english/data
  4. https://www.collinsdictionary.com/us/dictionary/english/data
  5. https://www.iso.org/obp/ui/en/#!iso:std:73872:en
  6. https://www.isko.org/cyclo/dikw
  7. https://en.wikipedia.org/wiki/Data_(word)

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Information, Communication & Society

1 Data, Information and Knowledge – Intellectual Assets

  1. Value and Importance of Information
  2. Data, Information and Knowledge
  3. Libraries and Data, Information, and Knowledge
  4. Comparative Study of Data, Information, and Knowledge

2 Data – Definition, Types, Nature, Properties and Scope

  1. Meaning of Data
  2. Types of Data
  3. Nature and Properties of Data
  4. Scope of Data

3 Information, Definion, Types, Nature, Properties and Scope

  1. Information: Nature
  2. Information: Definitions and Concepts
  3. Information: Types
  4. Information: Properties
  5. Information Studies: Scope

4 Knowledge- Definition, Types, Nature, Properties and Scope

  1. Knowledge: Definition
  2. Knowledge: Nature, Characteristics/Properties
  3. Knowledge: Types and Scope
  4. Formation of Knowledge
  5. Origin and Growth Pattern of Disciplines
  6. Mapping of the Structure of Subjects
  7. Sociology of Knowledge
  8. Knowledge Utilisation

5 Information, Communication Process, Media and Diffusion

  1. Information
  2. Communication: Concept and Genesis
  3. Types of Communication
  4. Communication Process
  5. Information Diffusion
  6. Models of Information Diffusion Process
  7. Information System for Diffusion
  8. Gatekeeping of Technical Information

6 Generation of Information Modes and Forms

  1. Information
  2. Generation of Information
  3. Modes of Information Generation
  4. Forms of Information
  5. Impact of Information Technology on Information Generation

7 Information Theory- Measure and Contents Evaluation

  1. Approaches to Information Theory
  2. Information Basics
  3. Information Measure
  4. Information Entropy
  5. Information Communication
  6. Semantic Information Theory

8 Digital Information

  1. Nature of Digital Information
  2. Digital Fundamentals
  3. Digital Text
  4. Digitising Documents
  5. Analog to Digital Conversion
  6. Digital Audio
  7. Digital Video
  8. Digital Formats
  9. Legality of Digital Documents

9 Social Implications of Information

  1. Information /Knowledge as Social Wealth
  2. Dynamics of Change in Societies
  3. Impact of Information/Knowledge on Different Sectors
  4. Impact of IT on Libraries, Information Systems and Services and their Societal Implications
  5. Indian Society

10 Information as an Economic Resource

  1. Substance of Economics
  2. Information Economics
  3. Micro-Economics of Information
  4. Information Economy
  5. Knowledge Economy
  6. Indian Economy
  7. Economics of Information Systems and Services
  8. Relevance of Information and Knowledge Economics to Library and Information Studies

11 Information Policies- National and International

  1. Information Policy
  2. Restricted Meaning of Information
  3. Wider Meaning of Information
  4. Meaning of Policy
  5. National Information Policy: Aspects and Issues
  6. National Information Policy: India
  7. Information Policy: Efforts at International Level

12 Information Infrastructure- National and Global

  1. Information Society
  2. NEIS Goals
  3. Societal Impact
  4. Information Management Functions
  5. Infrastructure Overview: GII and NII
  6. Key Issues in GII
  7. Management of GII
  8. Network Access
  9. Home Networks
  10. Office Networks
  11. Corporate Networks
  12. GII Applications
  13. Security Issues

13 Information Society

  1. Information Society Concept: Evolution
  2. Economic Structure and Information Society
  3. Impact of Information Society on Information Profession
  4. Information Society: Developing Countries
  5. Information Society and Public Policy

14 Knowledge Society

  1. Social Transformation
  2. Features of a Knowledge Society
  3. Knowledge Economy
  4. Impact on a Few Sectors
  5. Digital Divide

15 Knowledge Management- Concepts and Tools

  1. Data, Information and Knowledge
  2. Knowledge Management (KM)
  3. Knowledge Management Systems
  4. Knowledge Products
  5. Data Mining and Text Mining

16 Knowledge Profession

  1. Knowledge Profession
  2. Normative Principles of Knowledge Resources Management and Services
  3. Emerging Knowledge-Based Environment
  4. ICTs Application Areas
  5. Knowledge Professional and Knowledge Management
  6. Knowledge Products
  7. Library and Information Science Professional as Knowledge Professional
  8. Preparing Knowledge Workers of the New Millennium