Data fuels effective R&D. Simply put, data is the lifeline between the R&D talent in life sciences organizations and breakthrough innovations. That’s why these organizations take data integration seriously; they want to make it as easy as possible for their researchers to find needed information.
That said, it’s not enough to simply ensure data integration and access. Different functions and areas within R&D have different information and content needs. Here are four main areas and their requirements:
Early phase research
When it comes to early phase research, it’s vital that researchers avoid mistakes that raise the risks and costs associated with the drug development process. This includes overlooking key information or wasting time chasing down information inefficiently.
With the right search tools, researchers can discover interesting potential biomarkers and drug targets they hadn’t known to look for in advance. These initial results can be linked to supporting source content for further review prior to wet lab.
New product development
Since R&D is the first step in developing a new product, it’s essential for researchers to get this right. Otherwise, life sciences organizations will waste time and money from the start.
One way that organizations can support their researchers is by enabling them to take advantage of well-established ontologies. This empowers researchers to search topics such as diseases and easily make connections with related illnesses, drugs, and other pertinent factors.
Another way is by giving researchers and other users in the organization access to patent information. Users can explore patents alongside non-patent literature (NPL) to gain insight into competitor strategy and whitespace analysis, uncovering opportunities for innovation, licensing, and M&A activity.
According to Deloitte, many researchers still conduct clinical trial activities using processes from the 1990s. In doing so, they are not keeping pace with “the ever-growing amounts of real-world evidence, genomics information, and emerging data sources (such as biosensors).” Yet, “harnessing this data could help demonstrate that new treatments result in differentiated improvements in patient and health economic outcomes.”
Tasked with monitoring the effects of drugs licensed for use, pharmacovigilance teams are all too familiar with the arduous process of finding relevant information in large volumes of content using conventional keyword search. As a key component of pharmacovigilance, literature monitoring poses a unique challenge. Faced with a range of spontaneous reporting systems, time is often wasted on false positives and dead ends.
Literature monitoring for pharmacovigilance can become both more comprehensive and more precise through semantic searches that suggest links between adverse events and pharmacological substances. Such searches increase the efficiency of these vital monitoring workflows.
Integrated Data Powers Successful R&D
When researchers spend too much time searching for information instead of analyzing it and making decisions, life sciences organizations feel the effects in many areas. They incur higher costs and risks in early phase research, struggle to run effective clinical trials, and suffer delays releasing new products to market.
With RightFind® Navigate from Copyright Clearance Center, life sciences organizations can deliver the search experience that satisfies all their R&D researchers. By unifying data sources within an open integration ecosystem, organizations can equip researchers with contextualized discovery to find the right information at the right time.
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