Managing information is a complex but vital task for organisations and individuals alike. Understanding the information lifecycle, from its creation to eventual destruction, is crucial for efficient information management. This article explores the various stages of the information lifecycle and their significance.
Contents
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Phases of the Information Lifecycle: A Closer Look at its Process
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Conclusion: Embracing the Full Potential of Information Lifecycle
Phases of the Information Lifecycle: A Closer Look at its Process
The information lifecycle describes how data and information are gathered, checked, used and eventually archived or destroyed. It also allows assurance and oversight of effective data and information management, and the management of information risks.
In our data-driven world, information is the lifeblood of decision-making, innovation, and progress. The journey of information, from its inception to its eventual archiving or deletion, is a complex and critical process. In this article, we explore the various stages of the information lifecycle, delving into how data and information are identified, sought, verified, utilised, and ultimately archived or deleted.
illustration of example D&I control framework
In short, like this example we produced for a client, an information lifecycle is the end to end process of data and information management. Let’s look at the detail of some of the key elements of the information lifecycle.
Identifying the Need for Data or Information
The information lifecycle begins when people identify a need for data or information. This phase sets the foundation for the entire journey:
Defining the Information Need
It begins with a clear understanding of what data or information is required to address a specific challenge or question. This can come from Identifying gaps in existing knowledge or data that need to be filled to make informed decisions. Whatever the gap in existing data and information that has been identified, it is also important to be clear that it will be used for. Establishing clear objectives for what the information should achieve, whether it’s supporting a research project, guiding business strategies, or solving a problem.
This is important to later stages in the information lifecycle because this initial planning stage can help avoid problems like:
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avoidable costs: data and information can cost money to buy or licence, analyse, store and archive.
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quality issues: do you need data to two decimal places or three? Do you need 100 survey responses or 1000? If you do not know the data and information you get may not be usable.
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other risks: if you process personal data then you must be clear exactly what you need it for to ensure GDPR compliance. Having too much, too little, or the wrong personal data could breach the principle of data minimisation which is key (read more here)
Seeking Data or Information
Once the need for data or information is established, the next step is actively seeking it. It can be sourced externally or created from existing or new data sources internally.
Identifying potential sources of data or information, which can range from databases and archives to surveys, interviews, or external repositories can help you synthesis new data. Alternatively you can obtain the necessary data from external sources through methods like data collection, data purchase, or data extraction.
Using search engines, libraries, and information systems to access relevant information, is another common way of obtaining information.
Checking Data or Information
Data and information are not inherently reliable. You cannot assume what you bought or paid for is what you will receive. Therefore, the checking phase is crucial. You should verify the accuracy and reliability of data through validation processes, including data cleansing and quality checks. It can also be helpful to compare information from multiple sources to confirm consistency and reduce the chances of errors or biases.
Once you have done this you have the choice of accepting the data or information or rejecting it. Only when you are satisfied that what you have received meets the quality standards you set out in the planning stage should you start using it.
Using Data or Information
The primary purpose of gathering data or information is to use it to achieve defined outcomes or objectives. In many respects this is the beginning of the end of the data and information lifecycle because you have what you need, so in theory you can get what you want. Examples include:
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employing statistical, analytical, or data mining techniques to derive insights, patterns, or trends.
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using information to make informed decisions in various fields, from business strategies to public policy.
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information often fuels innovation by providing a basis for new ideas and solutions.
There are endless applications for data and information, depending on business needs. Once you have the outputs from the data and information you need it is important to perform validation checks to ensure you got what you wanted. If you did not then either there was a quality issue with the data or information you received, or it was not well defined enough at the planning stage.
Sharing and Publishing Information
One of the uses data and information may be used for include sharing or publishing the data. This can include news reports, research, or responding to freedom of information requests.
It is a normal part of the information life cycle for it to be published or shared. If the intention was to do so all along this should form part of the planning stage.
Archiving or Deleting Data
The end of the information lifecycle involves deciding what to do with the data or information. If it is no longer needed there are probably strong arguments for deleting it. Alternatively there may be compelling reasons for keeping it. This include:
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the potential for reuse for other projects
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the need to protect the organisation from potential legal actions
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regulations requiring data retention for different industries
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archiving data and information in the national interest
In these circumstances organisations need a detailed retention schedule, which will set out a retention period for different classes of data and information. When information should be retained for a long period if will need to be archived. Data archiving involves preserving data or information for future reference, historical purposes, or compliance with legal requirements.
If data and information are not needed they should be deleted. Data deletion involves the secure and permanent removal of data that is no longer needed, obsolete, or irrelevant.
Top Information Lifecycle Management Benefits
The main benefits of getting the data and information lifecycle right include:
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lower costs such as storage costs
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greater data quality, leading to improved business decisions
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reduced risks of a data breach or other legal risks
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effective data management
Many businesses that manage information effectively as a core part of their operations often achieve higher performance and better outcomes than their competitors.
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Conclusion: Embracing the Full Potential of Information Lifecycle
The information lifecycle is a continuous cycle that involves the creation, storage, organisation, usage, preservation, maintenance, sharing, retention, and ultimately, the destruction of information. Effective information lifecycle management is essential for harnessing the value of data while ensuring its security, integrity, and compliance with legal requirements. Understanding this lifecycle equips organisations and individuals with the knowledge needed to make informed decisions about their information assets.