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The user, rather than the database itself, typically initiates data curation and maintains metadata. [8] According to the University of Illinois' Graduate School of Library and Information Science, "Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities enable data discovery and ...
For example, when an object is appraised (a sequential action that always occurs in the lifecycle of a digital object’s curation) if it adheres to or, more aptly, doesn’t adhere to certain institutional curation policies, it can be disposed of or reappraised—both of which are occasional actions in the lifecycle.
DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]
Digital thread, also known as digital chain, [1] is defined as “the use of digital tools and representations for design, evaluation, and life cycle management.”. [2] It is a data-driven architecture that links data gathered during a Product lifecycle from all involved and distributed manufacturing systems. [3]
The term "digital curation" was first used in the e-science and biological science fields as a means of differentiating the additional suite of activities ordinarily employed by library and museum curators to add value to their collections and enable its reuse [12] [13] [14] from the smaller subtask of simply preserving the data, a significantly more concise archival task. [12]
However, data has staged a comeback with the popularisation of the term big data, which refers to the collection and analyses of massive sets of data. While big data is a recent phenomenon, the requirement for data to aid decision-making traces back to the early 1970s with the emergence of decision support systems (DSS).
Examples are, the frequency to be used for keyless entry, the variant of the exhaust system needed for a particular configuration of the vehicle and the emission standard to be fulfilled by the vehicle. Figure 2. Configuration lifecycle managed through models composed of features that are an abstraction from the physical data layers.
Examples including birth, death, medical/health, and educational records. e-Science , for example, is an area where ILM has become relevant. In 2004, the Storage Networking Industry Association , on behalf of the information technology (IT) and information storage industries, attempted to assign a new and broader definition to Information ...