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Mobile data collection or mobile surveys is an increasingly popular method of data collection. Over 50% of surveys today are opened on mobile devices. [ 6 ] The survey, form, app or collection tool is on a mobile device such as a smart phone or a tablet.
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...
Accurate data collection is essential to many business processes, [6] [7] [8] to the enforcement of many government regulations, [9] and to maintaining the integrity of scientific research. [10] Data collection systems are an end-product of software development. Identifying and categorizing software or a software sub-system as having aspects of ...
JMP is used in applications such as data mining, Six Sigma, quality control, design of experiments, as well as for research in science, engineering, and social sciences. The software can be purchased in any of five configurations: JMP, JMP Pro, JMP Clinical, JMP Genomics and JMP Live. JMP can be automated with its proprietary scripting language ...
Importantly, data harvested into RN tools can be repurposed, especially if available as Linked Open Data (RDF triples). These RN tools enhance research support activities by providing data for customized, web pages, CV/biosketch generation and data tables for grant proposals.
The World Health Organization (WHO) uses EpiData in its STEPS method of collecting epidemiological, medical, and public health data, for biostatistics, and for other quantitative-based projects. Epicentre, the research wing of Médecins Sans Frontières , uses EpiData to manage data from its international research studies and field epidemiology ...
OpenNN – A software library written in the programming language C++ which implements neural networks, a main area of deep learning research; Orange, a data mining, machine learning, and bioinformatics software; Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels ...
Data quality assurance is the process of data profiling to discover inconsistencies and other anomalies in the data, as well as performing data cleansing [17] [18] activities (e.g. removing outliers, missing data interpolation) to improve the data quality.