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Duckling, the collaboration environment software suite for e-Science, is an open-source software suite developed by the Collaboration Environment Research Center [1] of Computer Network Information Center [2] of the Chinese Academy of Sciences to meet the rapid progress of the Chinese Academy of Sciences’ e-Science activities.
Data collection systems are an end-product of software development. Identifying and categorizing software or a software sub-system as having aspects of, or as actually being a "Data collection system" is very important. This categorization allows encyclopedic knowledge to be gathered and applied in the design and implementation of future systems.
Finally, they propose modifications and show how the DCT method can be further strengthened. All in all, they conclude that the DCT is an adequate method to research Romance prosody (as well as the prosody of other languages) and that future research should continue to consider how to further refine and improve this data collection instrument ...
Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn) Perl Data Language – Scientific computing with Perl; Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics
Another report indicated that Epi Info was among the most widely used tools during outbreaks. [12] Another study also reported that Epi Info was among the tools used to collect data during pandemics. [13] One study compared the statistical results from various free to use statistical software and found that Epi Info gave the same results as did ...
Dat is free software distributed under the terms of the BSD-3-Clause license. One of the main implementations is Beaker, a web browser that seamlessly handles dat:// URLs and allows building and seeding Dat websites. [13] Homebase is a server-side permanent seeding tool for Dat. [14]
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 ...
EpiData is widely used by organizations and individuals to create and analyze large amounts of data. 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.