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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 ...
The DCC Curation Lifecycle Model is especially relevant to three key participants in the digital curation process: data creators, data archivists, and data reusers. The model highlights the importance of data creation, such as metadata, in successful, sustainable curation practices. This is relevant to data creators.
Preservation metadata provides the vital information which will make “digital objects self-documenting across time.” [6] Data maintenance is considered a key piece of collections maintenance [8] by ensuring the availability of a resource over time, a concept detailed in the Reference Model for an Open Archival Information System (OAIS).
Data can be described as the elements or units in which knowledge and information is created, [2] and metadata are the summarizing subsets of the elements of data; or the data about the data. [3] The main goal of data preservation is to protect data from being lost or destroyed and to contribute to the reuse and progression of the data.
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]
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 ISO 15926 is a standard for data integration, sharing, exchange, and hand-over between computer systems.. The title, "Industrial automation systems and integration—Integration of life-cycle data for process plants including oil and gas production facilities", is regarded too narrow by the present ISO 15926 developers.
Records life-cycle in records management refers to the following stages of a records "life span": from its creation to its preservation (in an archives) or disposal. While various models of the records life-cycle exist, they all feature creation or receipt, use, and disposition.