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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. [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 ...
Authorea is built primarily with Ruby on Rails, and documents and files are stored in Git repositories. Resque and Faye are used as well. [6] The site supports iPython notebooks and runs a live iPython notebook server, so that users can attach, re-run and reproduce scientific calculations and data analysis directly in an Authorea document. [3] [13]
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
[6] [7] NASA, for example, uses quad charts to document the process of all Small Business Innovation Research projects. [8] Because decision makers often review a large volume of both solicited and unsolicited proposals, the quad chart may be the only submission from a potential contractor which the decision maker actually reads.
It makes some of the old CRISP-DM documents available for download and it has incorporated it into its SPSS Modeler product. [6] Based on current research, CRISP-DM is the most widely used form of data-mining model because of its various advantages which solved the existing problems in the data mining industries.
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