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A key part of facilitating comparison and integration of different data types is the use of ontologies for data description, as is the extensive use of metadata.
The XML-based technology provided the enormous convenience for data description, data exchange and transmission using the network.
One requisite to this end is the need for standards to measure and represent accurately biological functions, along with languages for data description and exchange.
For data description, mean and standard deviation (SD) were used for continuous variables, while frequencies were used for categorical variables.
This issue is also addressed by RDF, which allows description of vocabularies defining unique identifiers and meanings that are used for data description.
Means (SD) and frequencies were used for data description.
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Designing a DSpace-based raw data repository will also allow for defining a de facto standardized metadata collection for compchem data description that may be very useful for harmonisation of data description in this specific research area - and might eventually evolve into some kind of standard for the discipline.
For the data description, the percentage of missing responses, the frequencies for the response options mean, standard deviation (SD) and median for each item were assessed (Table 3).
For all data description and analyses an intention-to-treat analysis will be performed.
Rich information models based on the ontologies for heterogeneous sensor data description are necessary for achieving interoperability among various deployed sensor networks while providing context-related information with raw sensor data.
File format: Microsoft Excel (.xlsx) spreadsheet Title: Details of all SRA/ENA/DDBJ accessions for input read data Description: This spreadsheet contains identifiers for all Project, Study, Sample, Experiment, and Run accessions for bird, fish, and snake input read data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com