ArticleslgStudy

science

Information governance

Information governance is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Information governance rather than just read about it. In short: Information governance, or IG, is the overall strategy for information at an organization. Information governance balances the risk that information presents with the value that information provides.

Key takeaways

  • Information governance belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Information governance to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Information governance from memory before moving on to harder problems.

Reference excerpt

Information governance, or IG, is the overall strategy for information at an organization. Information governance balances the risk that information presents with the value that information provides. Information governance helps with legal compliance, operational transparency, and reducing expenditures associated with legal discovery. An organization can establish a consistent and logical framework for employees to handle data through their information governance policies and procedures. These policies guide proper behavior regarding how organizations and their employees handle information whether it is physically or electronically. Information governance encompasses more than traditional records management. It incorporates information security and protection, compliance, data quality, data governance, electronic discovery, risk management, privacy, data storage and archiving, knowledge management, business operations and management, audit, analytics, IT management, master data management, enterprise architecture, business intelligence, big data, data science, and finance.

History

Records management Records management deals with the creation, retention and storage and disposition of records. A record can either be a physical, tangible object, or digital information such as a database, application data, and e-mail. The lifecycle was historically viewed as the point of creation to the eventual disposal of a record. As data generation exploded in recent decades, and regulations and compliance issues increased, traditional records management failed to keep pace. A more comprehensive platform for managing records and information became necessary to address all phases of the lifecycle, which led to the advent of information governance. In 2003 the Department of Health in England introduced the concept of broad-based information governance into the National Health Service, publishing version 1 of an online performance assessment tool with supporting guidance. The NHS IG Toolkit is now used by over 30,000 NHS and partner organisations, supported by an e-learning platform with some 650,000 users. In 2010 Logan and Lomas took up the theme of IG more holistically, publishing on how different disciplines needed to come together to better manage information. Lomas produced teaching in this domain, with Smallwood later providing a key textbook in this domain. Professionally, in this context 2008, ARMA International introduced the Generally Accepted Recordkeeping Principles®, or "The Principles" and in 2015 the subsequent "The Principles" Information Governance Maturity Model. "The Principles" identify the critical hallmarks of information governance. As such, they apply to all sizes of organizations, in all types of industries, and in both the private and public sectors. Multi-national organizations can also use "The Principles" to establish consistent practices across a variety of business units. ARMA International recognized that a clear statement of "Generally Accepted Recordkeeping Principles®" ("The Principles") would guide:

CEOs in determining how to protect their organizations in the use of information assets; Legislators in crafting legislation meant to hold organizations accountable; and Records management professionals in designing comprehensive and effective records management programs. Information governance goes beyond retention and disposition to include privacy, access controls, and other compliance issues. In electronic discovery, or e-discovery, relevant data in the form of electronically stored information is searched for by attorneys and placed on legal hold. IG includes consideration of how this data is held and controlled for e-discovery, and also provides a platform for defensible disposition and compliance. Additionally, metadata often accompanies electronically stored data and can be of great value to the enterprise if stored and managed correctly. With all of these additional considerations that go beyond traditional records management, IG emerged as a platform for organizations to define policies at the enterprise level, across multiple jurisdictions. IG then also provides for the enforcement of these policies into the various repositories of information, data, and records. A coalition of organizations known as Electronic Discovery Reference Model (EDRM), which was founded in 2005 to address issues related to electronic discovery and information governance, subsequently developed, as one of its projects, a resource called the Information Governance Reference Model (IGRM). In 2011, EDRM, in collaboration with ARMA International, published a white paper that describes How the Information Governance Reference Model (IGRM) Complements ARMA International’s Generally Accepted Recordkeeping Principles ("The Principles") The IGRM illustrates the relationship between key stakeholders and the Information Lifecycle and highlights the transparency required to enable effective governance IGRM v3.0 Update: Privacy & Security Officers As Stakeholders. In 2012, Compliance, Governance and Oversight Council (CGOC) developed the Information Governance Process Maturity Model, or (IGPMM). The model outlines 13 key processes in electronic discovery (e-discovery) and information management. Each process is described in terms of a maturity level from one to four – completely manual and ad hoc to greater degrees of process integration across functions and automation. In 2017, it was updated to include an emphasis on legal, privacy, information security, cloud security issues and evolving data privacy concerns, including the impact of The General Data Protection Regulation (GDPR)(EU).

Organizational structure In the past, records managers owned records management, perhaps within a compliance department at an enterprise. In order to address the broader issues surrounding records management, several other key stakeholders must be involved. Legal, IT, and Compliance tend to be the departments that touch information governance the most, though certainly other departments might seek representation. Many enterprises create information governance committees to ensure that all necessary constituents are represented and that all relevant issues are addressed.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Information governance

Start with the simplest possible case. Write down what Information governance claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Information governance before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Information governance ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Information governance

In research
Information governance appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Information governance in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Information governance is common in secondary-school and first-year university syllabi. It links to neighbouring topics Content management systems, Data management, Information governance, so understanding it makes those chapters shorter.
In everyday life
Look for Information governance outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Information governance” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Information governance in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Information governance means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Information governance out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Information governance in simple terms?

Information governance, or IG, is the overall strategy for information at an organization. Information governance balances the risk that information presents with the value that information provides.

Why does Information governance matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Information governance?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Information governance.

Tags

  • Content management systems
  • Data management
  • Information governance
  • Public records

Keep exploring