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Dynamic data. In data management, dynamic data or transactional data is information that is periodically updated, meaning it changes asynchronously over time as new information becomes available. The concept is important in data management, [citation needed] since the time scale of the data determines how it is processed and stored.
Persistent data in the field of data processing denotes information that is infrequently accessed and not likely to be modified. [1] Static data is information, for example a record, that does not change and may be intended to be permanent. It may have previously been categorized as persistent or dynamic. Dynamic data (also known as ...
Panel data. In statistics and econometrics, panel data and longitudinal data [1] [2] are both multi-dimensional data involving measurements over time. Panel data is a subset of longitudinal data where observations are for the same subjects each time. Time series and cross-sectional data can be thought of as special cases of panel data that are ...
In terms of mathematical optimization, dynamic programming usually refers to simplifying a decision by breaking it down into a sequence of decision steps over time. This is done by defining a sequence of value functions V1, V2, ..., Vn taking y as an argument representing the state of the system at times i from 1 to n .
Dynamic consent is an approach to informed consent that enables on-going engagement and communication between individuals and the users and custodians of their data. It is designed to address the many issues that are raised by the use of digital technologies in research and clinical care that enable the wide-scale use, linkage, analysis and integration of diverse datasets and the use of AI and ...
Data assimilation is a mathematical discipline that seeks to optimally combine theory (usually in the form of a numerical model) with observations. There may be a number of different goals sought – for example, to determine the optimal state estimate of a system, to determine initial conditions for a numerical forecast model, to interpolate sparse observation data using (e.g. physical ...
Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains.
Dynamic assessment is a product of the research conducted by developmental psychologist Lev Vygotsky. It identifies. Constructs that a student has mastered (the Zone of Actual Development) Constructs that a student is currently able to understand or tasks a student can do with scaffolding (the Zone of Proximal Development ).