January 16, 2014, Las Vegas, NV: EISC Vice President and Chief Technology Officer, Paul Banfer, will speak at this year’s annual Society of Laboratory Automation and Screening (SLAS 2014) in San Diego, January 18th through the 23rd. Banfer will present on laboratory informatics, specifically on establishing an efficient and effective approach to converting big scientific data to knowledge.
“With data enabled science being at the forefront for facilitating scientific collaboration and innovation, establishing an approach for obtaining the necessary and applicable research data is essential for efficiently reaching sound scientific conclusions”, states Banfer. “Many organizations tend to apply a traditional wide-net approach to data gathering, collecting as much data as possible for scientists and researchers to painstakingly filter through then parse in order to get to the specific data needed in the first place. Today, we realize that’s not necessarily the most productive means for pinpointing the intricate scientific data being sought. Banfer also notes the criticality in obtaining sound supportive data. “Data quality is non-negotiable. So data that is known to be qualified and directly applicable to the research at hand moves the process to discovery faster by removing the “noise” that an abundance of excess and unrelated data creates”, says Banfer. “Ensuring and knowing with the utmost certainty that the data coming to you and being utilized as a scientist has the required validation to be applied in research, eliminates the risk of unintentional and/or hidden bias being introduced, inadvertently swaying results for trusted conclusions”. Banfer also points out that the key in any approach for transforming data to knowledge is allowing for the application of statistics and data analytics free of masking or overwriting critical data. As well, the capability to record conclusions, both positive and negative, in order to provide support to the final conclusion secures its defensibility. Banfer says, “Not only is recording important for the researcher’s own knowledge base, but historical reference as well, for collaboration or use in separate research studies. Concludes Banfer, “The approach to converting scientific data to ciritical knowledge is key, as it is the building block for all additional applied informatics in advancing discovery through data innovation”.
About Paul Banfer
Paul Banfer is Vice President and Chief Technology Officer at EISC, an international life & materials sciences informatics company that provides patented laboratory data integration and automation solutions. Banfer’s experience spans over 20 years and multiple industries within the life, materials and government entities. His expertise focuses on data quality and integrity within the laboratory process, with an emphasis on facilitating scientific analytical data sharing, collaboration and innovation.
About EISC
EISC is an international life sciences informatics company providing patented laboratory data integration and automation solutions for over 15 years. Its universal connectivity platform automatically assimilates and summarizes dynamic analytical instrument data, ensuring it and transforming it into comprehensive analytical information that is then communicated and used for sound decision-making across a variety of industries all within minutes.
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