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It provides online tools, such as the Data Management Planning tool, to support the creation and management of research data. Another tool developed by the DCC, the DCC Curation Lifecycle Model, provides a pictorial representation of the steps and behaviours necessary to the curation and preservation of digital objects. [8]
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 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]
A web-based tool Canto; [41] was developed to facilitate community submissions. Since Canto is freely available, generic and highly configurable, it has been adopted by other projects. [42] Curation is subjected to review by professional curators resulting in high quality in-depth curation of all molecular data-types. [43]
Canto is a generic tool that can be readily configured for use with other organisms and other databases and now supports pathogen-host interactions for PHI-base (Rothamsted research) and the curation of phenotypes and genetic interactions at FlyBase (University of Cambridge), and all gene-specific datatypes for the emerging model species ...
A data management plan or DMP is a formal document that outlines how data are to be handled both during a research project, and after the project is completed. [1] The goal of a data management plan is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; [2] this may lead to data being well-managed in the present ...
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The item-level data further stores technical details on the format, structure and uses of a digital resource, along with the history of all actions performed on the resource. These technical details include changes and decisions regarding digitization, migration to other formats, authenticity information such as technical features or custody ...