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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. 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; this may lead to data being well-managed in the present, [citation ...
Data literacy. Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. It is, however, not similar to the ability to read text since it requires certain skills involving reading and ...
The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage.. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a ...
The Data Management Association ( DAMA ), formerly known as the Data Administration Management Association, [citation needed] is a global not-for-profit organization which aims to advance concepts and practices about information management and data management. [1] [2] It describes itself as vendor-independent, all-volunteer organization, [3 ...
Clinical data management ( CDM) is a critical process in clinical research, which leads to generation of high-quality, reliable, and statistically sound data from clinical trials. [1] Clinical data management ensures collection, integration and availability of data at appropriate quality and cost. It also supports the conduct, management and ...
Data classification is the process of organizing data into categories based on its attributes, e.g. file type, contents, other metadata. The data is then assigned class labels that describe a set of attributes that hold true for the corresponding data sets. The goal is to provide meaningful class attributes to raw unstructured information.
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