January 20, 2023
Antibody development is a data-driven endeavor requiring specialized biotech software. A vast amount of data is generated from many teams with the hopes of answering questions and informing decision-making along the way. Centralizing this data and their analyses across experiments amplifies the power and impact that data has on antibody research and development.
Of course, centralizing assay data means much more than simply storing data in a LIMS. Data centralization increases the value of antibody data beyond one particular experiment or result by helping defining data relationships. The ability of biotech software to aggregate data across multiple samples, assays, and experiments, with metadata describing the relationship of all of these to each other, is where modern data science resides. Whereas the analysis of a single value from a single assay shows a distribution, joining that assay with others reveals a richer data landscape that is ripe for analysis. These data landscapes yield even more insights when they are related to one another across many controlled variables and conditions.
Below are more ways that implementing software and strategies for data centralization can impact the speed and efficiency of antibody development.
Having a single source of truth for data makes it easier for organizations to track how (and by whom) antibody development data is generated, accessed, and modified. With the assistance of biotech software serving as a central hub- permissions, auditing, and backups provide control over how, when, where, and by whom data is used. Centralization of data also encourages standardization of data formats across research teams. Standardizing data structures helps validate the data being entered and helps preserve the relationships between data. This leads to downstream efficiency and maximizes the utility of experiments beyond the individual or team from which it was derived.
Centralizing antibody development data also helps promote collaboration between research teams. By storing data in one central location in standardized formats, scientists can easily find, compare and reference existing data in their research. A central repository for data also makes it much easier to see what data is missing or needed to inform decisions. Hand-offs of data are also made easier when all data is centrally stored.
Biologics LIMS provides antibody researchers with a set of tools to centralize biological entity registration, workflow management, and data exploration.
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