Sentence examples for database to allow for from inspiring English sources
We chose to acquire our patent data through the DPMA database to allow for systematic analysis and to avoid various biases associated with alternative methods, such as surveying research institutions on patenting.
Weights are provided for each year of the database to allow for calculation of national estimates of all hospitalizations.
The TOOTH study has a stated aim to create a database to allow for detailed analysis of physical, mental, and oral health and modifiable determinants of maintaining health, independence, and community participation.
Data obtained from online questionnaires for participants and mailed questionnaires for non-responders, including characteristics such as self-reported sexual history and clinical symptoms, are also linked to the central database to allow for more detailed analyses.
The data collected during this study will be populated in a database to allow for health professional and researcher access to NHPs, prescription drugs and combinations that have been used with and without reported AEs, as well as details around specific AEs found.
These graphs are thus stored in databases to allow for efficient queries using declarative query languages such as Structured Query Language (SQL).
One of the key aspects of genomic research, which is frequently adopted by these studies (including those studies involving WGES), is the concept of data sharing through databases to allow for the secondary use of data.
Several at this meeting called for the development of a user-friendly database to allow better access for anyone eager to participate.
The resource use data were combined into one database to allow derivation of an overall cost for each participant.
Clinical trials will be mined for each disease before database generation, to allow for effective unification of entries representing the same trials performed at different locations.
A specific design objective of the architecture of the database was to allow for the extension and incorporation of new modules and tools to support further types of experimental data and workflows.
