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October 27, 2022

Emerging Market and Science Trends in Sustainable Fertilizers Production

Learn the latest emerging scientific and market trends on sustainable fertilizer production, from phosphate recycling, greener ammonia production, and more in our expert-led webinar.

October 27, 2022

Hidden Polymers - Tips for finding them using CAS SciFinderⁿ

This webinar will show you how to search for polymers in CAS SciFinder using nomenclature terms, molecular formulas, and structures - and then use those results to find properties, and applications.

Unravel the potential of internal R&D data: Curate and connect for searchable insights

Valuable R&D data of a large health-tech organization was trapped in legacy documents. Discover how CAS Custom Services created searchable data connections to unlock insights.
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Dark data in R&D: How knowledge management can uncover hidden value

Jennifer Sexton, Director/CAS Custom Services
cas data space knowledge management

Dark data in R&D: How knowledge management can uncover hidden value

Dark data is defined by Gartner as “the information assets organizations collect, process, and store during regular business activities, but generally fail to use for other purposes.” As no one knows what data is there or how to access it, the insights it contains remain in the dark.

Research and development (R&D) teams amass huge quantities of complex data over long periods of time which, if exploited correctly, can be a plentiful source of useful information to improve decision-making and drive innovation. However, data can become compartmentalized in multiple disconnected database systems with limited ability to be searched, which makes accessing the truly relevant parts extremely difficult and time-consuming.

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Figure 1: Unstructured, inaccessible data cannot be leveraged to drive future discoveries. 

In effect, a company’s own data can be hidden from its researchers, meaning that experiments might be unnecessarily repeated leading to time and cost implications. Alongside concealing data, current data management systems can struggle to connect internal data with external sources; this is a missed opportunity for generating more comprehensive and complete knowledge management.

It is estimated that 55 percent of data stored by organizations is dark data. Yet, around 90 percent of global business and IT executives and managers agree that every organization will need to extract value from this unstructured data to be successful in the future.

Put simply, if information continues to be collected, stored, and left unused, it will continue to exist as dark data. So how can organizations shine a light on their valuable R&D data? Here are a few ways to uncover its hidden potential:

1. Determining where the most valuable R&D data is hiding

To alleviate the barrier of R&D data sitting in silos, a crucial first step is to determine which data collections are most valuable to enable discoverability; it is imperative to enable intuitive access to experimental results and findings to relevant individuals across the organization.

Is there knowledge that organizations are investing time and resources collecting, but is kept as dark data without future re-use? When brought to light, past experimental data and research findings can guide wise investments and prevent repeating experiments.

2. Making R&D data visible through knowledge management strategies

Knowledge management in R&D must not only consider capturing information, but also include intentional data management to guide decision-making. Organizations can only succeed in converting data into useful knowledge if they can successfully organize it in a way that is searchable, connected, and easy to access. The data may not be used all the time, but it needs to be findable when relevant.

To take advantage of the insights they own, organizations need the right IT solutions and expertise to create data management frameworks to organize R&D data. One common challenge faced is harmonizing scientific terminology across information sources. Without maintaining consistent scientific context, vital information can be missed during database searches.

CAS uses specialized lexicons, ontologies, and taxonomies paired with proprietary substance comparison technologies and expertise of scientists to standardize scientific language. This ensures critical information researchers need is at their fingertips.

3. Reaping the benefits of well-organized and accessible R&D data

Well-structured and readily accessible R&D data improves efficiency. Not only is time saved on searching for the required data, but unnecessary repetition of experiments can be avoided leading to time and cost savings. Another major benefit is that strategic decision-making can be accelerated and improved, helping an organization maintain a competitive edge.

CAS goes one step further than simply finding data – they also connect information internally and to the world’s science. This case study featuring a custom knowledge management solution shows how an organization’s documents can be securely linked to and augmented by the CAS Content CollectionTMor even to custom-curated data from a particular industry to make internal data more robust. Trends, collaborators, and competitors can be identified when concepts in internal research are connected other similar publications and patents from around the world.

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Figure 2. Connecting an organization’s data with the world’s published science. 

Custom knowledge management design in action 

CAS Custom ServicesSM builds solutions for storing and connecting existing data in a structured format, allowing all employees to access valuable R&D data in a straightforward and efficient manner.

Find out exactly how our solutions can benefit you.
We invite you to contact CAS Custom Services to discuss how CAS can meet your unique knowledge management needs.

CAS reveals the full potential of an organization’s digital assets with similar processes to the one it uses to curate the world’s published science. Our knowledge management solutions move beyond standard keyword search and enable scientific context. By curating, connecting, and analyzing internal documents, organizations can search the full text of once-hidden documents, connect similar concepts and substances, and search by concepts tailored to their specific discovery focus.

Connecting an organization’s data to the world’s science allows for improved decision- making, faster innovation, and makes your data more valuable.

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Figure 3. Unlock the potential of your R&D data through capturing insights to help make data-driven decisions. 

See how our innovative information solutions have driven discovery in a large health-tech organization. Learn more by downloading our case study, “Unravel the potential of internal R&D data: Curate and connect for searchable insights”. 

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Dow and CAS Announce Strategic Collaboration to Accelerate R&D Capabilities and Efficiency

This collaboration leverages a tailored CAS Custom Services solution designed on a foundation of specialized CAS technologies, data science, and the CAS Content Collection to empower efficiencies in Dow’s research processes.
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Nuclear energy could be the key to cutting global emissions

Tatyana Konovalova, Information Scientist/CAS

Nuclear Energy Infographic


While many people think nuclear is a scary or dangerous form of energy, there are new approaches to nuclear power that reduce risks, increase the recyclability of nuclear wastes, and have low emissions. See why these emerging trends and new recycling approaches are redefining nuclear energy for the future in our latest article.

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ACS webinar on molecular glues and targeted protein degradation

Janet Sasso, Information Scientist/CAS

Molecular glues and targeted protein degraders are changing the landscape of drug discovery. This approach ‘sticks’ proteins of interests to E3 ubiquitin ligases of the ubiquitin-proteasome pathway, which helps with protein turnover and removes excess or damaged proteins within the body. Learn more about their rise in oncology, inflammatory, and immune disease treatment through trends, protein targets, scientific mechanisms, and more in our latest article.

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Expert perspective from panelist Janet Sasso 

This webinar hosted by Angela Zhou, occurred live on October 5th, 2022 with several outside experts: 

Dr Philip Chamberlain and Dr Benjamin Ebert

The opening section focused on the landscape analysis, research trends, key ligases targeted, and a more connected view of the emerging players and therapeutic areas. You can learn more in our detailed Insight Report

Key highlights from the webinar

Dr. Ebert started off with discussing some of the natural molecular glues such as Cyclosporin and molecular glues that do not utilize the E3 ligase for protein destruction, such as FK-506. He also discussed more in-depth, thalidomide analogs that are being explored further in the field and at Dana-Farber. Additionally, he discussed some of the practical challenges of leveraging genetic libraries and screenings to help identify and understand the mechanisms of these novel structures.

Dr. Chamberlain initiated his presentation with how molecular glues confer neomorphic function to the body’s cellular machinery. He focused on the thalidomide analogs as prototype glues and the challenges of advancing these with species resistance to the transcription factor IKZF1 and the identification of SALL4 as the major driver of teratogenicity. Finally, he shared a few practical takeaways from lessons learned around the challenges of library design, screening, and validation specific to molecular glues.

To wrap up, attendees asked a wide range of questions: from basic molecular glue construct(s) to more advanced modeling questions. In short, this was an engaging panel that highlights future opportunities with molecular glues, targeted protein degraders, and the treatment of diseases with high unmet needs moving forward. See the recording and the associated slides from the webinar here.

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CAS Sequences

The CAS Sequences collection empowers scientists to explore how changes to nucleic acid and protein sequences affect biological functions, driving drug discovery.
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