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The analyses will be reviewed annually as the data evolves.
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The codes evolved as each transcript was read, with some codes being subsumed by others, some being disaggregated and some being renamed as the researcher's understanding of the data evolved [ 38].
"We're helping deliver personalized products and services in a way that can scale to large volumes of data and be flexible as data evolves," he says.
While this approach may be suitable for certain projects such as analyzing past events, it becomes problematic when data evolves, as the full process must be repeated each time a model requires updating.
So, concluding, as the data- analytics Industry evolves further we would see the IT Testing Services getting closely aligned with the Database Engineering and the industry would need more skilled testing professional in this domain to grab the new opportunities.
In the case of eagle-i, the requirements for data annotation evolved as the data were collected, the ontology updated, and the guidelines enhanced.
From codes, more abstract categories were developed; these evolved iteratively as the data collection and analysis progressed.
"As our understanding of the data has evolved," says Winer, "we've learned more about the need to individualize breast cancer screening and treatment".
The importance of data modeling in an analytical context is coupled with managing the metadata associated with the data that evolved as a critical component of the BI environment.
In the same way as we see models for representing proteomic data evolving in the light of practical experience, we anticipate that the PEDRo repository, and the overall understanding of the data access and dissemination requirements for proteomic data, will evolve as the opportunities presented by high-throughput experimental techniques and comprehensive data sets become more fully understood.
The use of microarray technology to assess gene expression levels is now widespread in biology and, particularly in the clinical setting, the applicability of the methodology is likely to broaden as the technology evolves, data analysis procedures improve, and costs decline [ 1- 3].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com