If you are working with data in a Life Sciences organisation it is imperative that you can guarantee its integrity at every stage of the Data LifeCycle. Below we identify the 5 stages of Data LifeCycle Management and what you need to ensure is in place at each stage. Show
The 5 Stages of Data LifeCycle ManagementData LifeCycle Management is a process that helps organisations to manage the flow of data throughout its lifecycle – from initial creation through to destruction. While there are many interpretations as to the various phases of a typical data lifecycle, they can be summarised as follows: 1. Data CreationThe first phase of the data lifecycle is the creation/capture of data. This data can be in many forms e.g. PDF, image, Word document, SQL database data. Data is typically created by an organisation in one of 3 ways:
2. StorageOnce data has been created within the organisation, it needs to be stored and protected, with the appropriate level of security applied. A robust backup and recovery process should also be implemented to ensure retention of data during the lifecycle. 3. UsageDuring the usage phase of the data lifecycle, data is used to support activities in the organisation. Data can be viewed, processed, modified and saved. An audit trail should be maintained for all critical data to ensure that all modifications to data are fully traceable. Data may also be made available to share with others outside the organisation. 4. ArchivalData Archival is the copying of data to an environment where it is stored in case it is needed again in an active production environment, and the removal of this data from all active production environments. A data archive is simply a place where data is stored, but where no maintenance or general usage occurs. If necessary, the data can be restored to an environment where it can be used. 5. DestructionThe volume of archived data inevitably grows, and while you may want to save all your data forever, that’s not feasible. Storage cost and compliance issues exert pressure to destroy data you no longer need. Data destruction or purging is the removal of every copy of a data item from an organisation. It is typically done from an archive storage location. The challenge of this phase of the lifecycle is to ensure that the data has been properly destroyed. It is important to ensure before destroying data that the data items have exceeded their required regulatory retention period. Having a clearly defined and documented data lifecycle management process is key to ensuring Data Governance can be carried out effectively within your organisation. At Dataworks our highly skilled CSV & Software Engineers provide a full range of Data Integrity services as part of our offering including: Data Integrity assessments, remediation software and validation services. Contact Us today if you would like to learn more about Data Integrity and our services in this area. To stay up to date with Dataworks Limited news and events, connect with us via the links below: This preview shows page 1 - 3 out of 7 pages. Weekly challenge 3*Latest Submission Grade95%1.Question 1In which stage of the data life cycle does a business decide what kind of data it needs,how the data will be managed, and who will be responsible for it?1 / 1 pointPlanManageCaptureAnalyzeCorrectDuring planning, a business decides what kind of data it needs, how it will bemanaged throughout its life cycle, who will be responsible for it, and the optimaloutcomes. 2.Question 2A data analyst is working at a small tech startup. They’ve just completed an analysisproject, which involved private company information about a new product launch. Inorder to keep the information safe, the analyst uses secure data-erasure software forthe digital files and a shredder for the paper files. Which stage of the data life cycledoes this describe?1 / 1 point Get answer to your question and much more Upload your study docs or become a Course Hero member to access this document Upload your study docs or become a Course Hero member to access this document End of preview. Want to read all 7 pages? Upload your study docs or become a Course Hero member to access this document Tags analyst, stage of the data life cycle What is the stage called when the process of collecting data from various sources and bringing it into the company?In the data life cycle, which phase involves gathering data from various sources and bringing it into the organization? A data analyst finishes using a dataset, so they erase or shred the files in order to protect private information. This is called archiving.
During which phase of data analysis would a data analyst use?A data analyst cleans data to ensure it's complete and correct during the process phase. The process phase is all about getting the details right, so data analysts clean data by fixing typos, inconsistencies, and missing or inaccurate data.
During which phase of data analysis is data gathered from various sources?In the process of big data analysis, “Data collection” is the initial step before starting to analyze the patterns or useful information in data. The data which is to be analyzed must be collected from different valid sources.
What is the plan phase of data life cycle?The plan describes what data will be acquired; how the data will be managed, described, and stored; what standards will be used; and more.
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Which stage of the data life cycle does a business decide what kind of data it needs how the data will be managed and who will be responsible for?
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