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A data ecosystem is the complex environment of co-dependent networks and actors that contribute to data collection, transfer and use. [1] It can span multiple sectors – such as healthcare or finance, to inform one another's practices. [2] A data ecosystem often consists of numerous data assemblages. [3]
Big data is defined as the algorithm-based analysis of large-scale, distinct digital data for purposes of prediction, measurement, and governance. [6] [7]This involves processing vast amounts of information from various sources, like social media, sensors, or online transactions, using advanced computer programs (algorithms).
The term big data has been in use since the 1990s, with some giving credit to John Mashey for popularizing the term. [21] [22] Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time.
The environment can be organizational (a company), social (an open-source community), or technical (the Ruby ecosystem). The ecosystem metaphor is used in order to denote an analysis which takes into account multiple software systems. [7] The most frequent of such analyses is static analysis of the source code of the component systems of the ...
In The Wealth of Networks: How Social Production Transforms Markets and Freedom, a book published in 2006 and available under a Creative Commons license on its own wikispace, [1] Yochai Benkler provides an analytic framework for the emergence of the networked information economy that draws deeply on the language and perspectives of information ecology together with observations and analyses of ...
A digital ecosystem is a distributed, adaptive, open socio-technical system with properties of self-organization, scalability and sustainability inspired from natural ecosystems. Digital ecosystem models are informed by knowledge of natural ecosystems, especially for aspects related to competition and collaboration among diverse entities.
Knowledge ecosystems operate on two types of technology cores – one involving content or substantive industry knowledge, and the other involving computer hardware and software – telecommunications, which serve as the "procedural technology" for performing operations.
In education, a data system is a computer system that aims to provide educators with student data to help solve educational problems. [3] Examples of data systems include Student Information Systems (SISs), assessment systems, Instructional Management Systems (IMSs), and data-warehousing systems, but distinctions between different types of data systems are blurring as these separate systems ...