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Drug discovery researchers can work more efficiently to bring new therapies to market using innovative user-defined data capture solutions to document experiments and analyze data.
Within large research and development organizations, the need for standardized data reporting and analysis conflicts with the need for flexibility within experimental data capture. Scientists often resort to self defining data capture parameters on a case-by-case basis, which make it difficult to compare data across experiments, perform consistent data analyses and share data within a research organization.
The novel approach of providing user-defined data capture mechanisms within a structured organizational network allows researchers to be flexible while still ensuring that the data they are recording will be analytically relevant within the larger sense of a laboratory’s data collection.
Scientifically-intelligent software platforms not only allow for creative data capture but also reduce or eliminate the time scientists traditionally have had to spend transcribing and combining data from different sources. Automated merging of data allows for information to be combined through the introduction of metadata to support input from different sources of capture, and removes the possibility for manual transcription errors to occur. This merge of data is achieved without the need for writing code, which reduces the need for substantial IT support traditionally necessary to maintain an organized, searchable collection of experimental information.
Read our white paper titled “User-Defined Data Management Solutions Free the Drug Discovery Researcher” to learn more specifically how pharmaceutical scientists can leverage informatics to improve their research and development processes.