Investment in better data management and utilization is one of the top three goals for life science CIOs in 2023, according to a Gartner survey. In addition, a Deloitte Insights poll found that digital innovation is a competitive differentiator for biopharma organizations. Despite these results, a third survey by Forbes found that one-third of quality professionals working in life sciences continue to use legacy data entry and management processes.
The digitalization of in vivo research is necessary for labs to remain competitive in the modern research environment. As the quantity and complexity of research data increases, using legacy methods to manage and store it becomes increasingly risky. Paper notes, spreadsheets, and disconnected point solutions lead to data silos, missed opportunities, and wasted time wrangling data into usable formats- issues no forward-thinking research organization wants to be dealing with!
How will a digital transformation directly affect in vivo research and the associated data management challenges?
Enhanced collaboration is one expected key benefit of digitalizing your animal model data and metadata. The COVID-19 vaccines available to us now are the results of multiple global initiatives where data was collected, shared widely, and analyzed in real-time to inform actionable decisions. There were several significant contributing factors to the success of these projects, such as efficient data management and the use of technological infrastructure to reduce data silos and facilitate the easy transfer of data between collaborators.
Additionally, implementing cloud-computing platforms that could house and process large data sets allowed researchers in multiple locations to collaborate remotely in real-time. To take full advantage of these new advancements in data management and processing, in vivo data needs to be accurately collected, harmonized, aggregated, and stored in the cloud.
Many labs choose third-party software to accomplish this, and some of the most innovative organizations in the world turn to Climb. Climb is a collaborative in vivo data and research management software hosted in the secure Microsoft Azure cloud. Our application allows life sciences organizations to execute their scientific research from the experimental design stage through data collection and sample management. Climb replaces spreadsheets, paper notes, and disconnected point solutions with a single solution that serves as a ‘source of truth’ for your organization’s animal model research. Climb’s robust data storage and management capabilities make it easy to capture data accurately in several different ways and then easily filter, sort, export, and share that data as needed.
RockStep Solutions is committed to being a leader in the future of research and helping our greatest minds focus on the development of novel therapies, not wrangling data. We built Climb to address the looming research challenges and help organizations get ahead of the curve. The future-ready labs of today are increasing efficiency in research operations by digitalizing their data organization and management, so their researchers can spend their time on the real-time strategic decisions that guide innovation.