The phrase "and interaction with data" is correct and usable in written English.
It can be used when discussing processes, systems, or activities that involve engaging with or manipulating data.
Example: "The software provides tools for analysis and interaction with data, allowing users to gain insights quickly."
Alternatives: "and engagement with data" or "and working with data".
Results not only show examples of how to technically build GIS applications enabling user collection and interaction with geospatial data, but they also draw conclusions about the methods and needs of public participation.
To better facilitate the appreciation of and interaction with these data and to compare the effects of specific genes in the context of different polymerase mutations, we have developed an online data visualization tool called DIXY (http://bsu-srv.ncl.ac.uk/dixy-pol).
The purpose of this study was to evaluate the effects of echo planar imaging (EPI) readout bandwidth and its interaction with data processing procedures on the measured blood oxygenation level dependent (BOLD) response and activation in fMRI experiments.
The sample of patients is described in table 3. The sampling was conducted as a theoretical sampling in accordance with GTM [ 29], i.e., data were collected continuously and in interaction with data analyses.
The sample of patients the FPs chose to talk about is described in table 2. The sampling procedure was conducted in accordance with GTM [ 10], i.e. theoretical sampling, which means that the collection of data is done continuously and in interaction with data analyses.
This prototype was implemented mainly for demonstrating a feasibility of visualization and interaction with heterogeneous personal data.
The functional categories of these DEGs showed similar enrichment patterns for each comparison, including categories of metabolism, development, cellular transport, and interaction with the environment (data not shown).
The following themes emerged from data generated from pupil's activities, through constant comparison, iterative interaction with data and literature, and a network analysis.
As well as designing the logs to record the time, nature and purpose of any interaction with data, we'd also like to be able to prove that there's no other software secretly interacting with data in the background.
These are utilized to provide a focal point for collaborative interaction with data and applications.
