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The phrase "accommodate data from" is correct and usable in written English.
You can use it when discussing the ability of a system, application, or process to accept or integrate data from various sources.
Example: "The new software is designed to accommodate data from multiple databases, ensuring seamless integration."
Alternatives: "integrate data from" or "support data from".
Exact(11)
We present a robust RDB structure originally designed for neurophysiological data; however, it is abstract enough to accommodate data from a variety of trial-based experimental designs.
It is also working on how to accommodate data from wearables to track physical performance and potentially feed this into the Tonsser score.
This format needs to be flexible enough to accommodate data from scientific experiments of all kinds and the SciData data model and its implementation in JSON-LD fits that need.
Both Sample and Analysis modules have been defined broadly to accommodate data from different type of omics experiments and still provide a common annotation framework.
These hierarchical models can accommodate data from several levels such as cancer registry case point data and such regional data as poverty at the census, block group level.
OpenSDE is able to accommodate data from a broad specialty in which the possibility of a detailed description of history taking and physical examination is necessary, and specific needs of each (sub specialty can be customized.
Similar(49)
The data model of Social BIMCloud is also extensible for accommodating data from new domains like energy simulation, cost estimation, and site layout planning.
The challenge is being able to accommodate data spewing from unrelated platforms, sensors and systems.
As the eagle-i Consortium expands, these roles will change to accommodate data coming directly from the labs.
New cells were created as required to accommodate data.
Briefly, our model decomposes the space time field of concentrations into spatially varying long-term (i.e., duration of study period) averages, spatially varying seasonal and long-term trends, and spatially correlated but temporally independent residuals, and accommodates data from the complex monitoring design described below.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com