Introduction
The rigorous R&D processes of pharma and biotech have provided them with a wealth of data, documents and knowledge, but this information is often held in organizational silos, paper laboratory notebooks and disparate IT systems, rendering them virtually useless. Therefore, life sciences companies are implementing LIMS and ELNs to remove the silos and connect R&D groups across the enterprise.
Scope
*Identifies the key forces driving the adoption of data and knowledge management solutions by the life sciences industry
*Analyzes the crucial issues that will impede the use of LIMS and ELNs
*Discusses the benefits of using LIMS and ELNs and how to get the most out of the systems
*Offers insight into how IT vendors can improve their products to target pharma and biotech companies
Highlights
To enable data-sharing, life sciences companies first need to develop a corporate-wide data management strategy that allows information to seamlessly move across the enterprise. Once a clear plan of action is in place, companies should look closer at the technologies that will enable data and knowledge management, particularly LIMS and ELNs.
LIMS and ELNs offer many tangible and intangible benefits, such as increased R&D productivity and efficiency, enhanced data and knowledge sharing, reduced risk, and adherence to regulatory compliance. If life sciences companies are smart about how they use their software, they are bound to experience unquestionable operational improvements.
Data management software vendors are providing next-generation products with added informatics functionality, but it is unlikely that suppliers will ever be able to provide an all-encompassing lab informatics solution. They should look to offer an integrated laboratory informatics platform made available through partnerships with other vendors.
Reasons to Purchase
*Validate your market messaging and positioning in the pharmaceutical industry
*Identify strategies that will increase adoption of LIMS and ELNs by life sciences companies
*Understand the trends that are shaping the future of pharma data and knowledge management
Report Highlights
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