Taking inventory of all previously published knowledge on a specific topic is a daunting and time-consuming task for researchers. Evidence is often scattered across sources, and multiple searches across different platforms are often required to dig up all the necessary evidence. This added complexity forces the researcher to perform careful manual curation and review to avoid duplicative results – costing organizations months of time and thousands of dollars per review.  The manual curation and review process is time-consuming, expensive, and not scalable.

So, how can we make sure that research does not miss important information?

One way is by making sure that researchers use published literature for their research. Publications are accepted versions of scientific work based on peer review processes. They are written in a standardized format so that other researchers can access them easily and find the relevant pieces of information quickly and efficiently. Scientists have been using publications as a source of knowledge for years; however, they were traditionally not considered as scientific sources due to the fact that they did not undergo peer review processes or were not published in high-impact journals.

With the development of digital technologies, this idea has changed because publications can be found online and can be easily accessed. In fact, the impact of publications is growing rapidly, as they are widely used by scientists to find relevant information for their research. It is now common to find scientific papers on social media or on websites that share scientific information.

So why are publications important?

The information in published literature is peer-reviewed and has been analyzed by experts. It also includes a description of how the experiments were carried out and the results obtained. This means that it is more reliable than information derived from other sources, such as databases or scientific instruments. Publications are also well structured so that scientists can easily find what they need, which saves time and effort when carrying out research activities. Finally, publications have a large number of readers (usually referred to as citations) which indicates that their contents have been widely accepted by other researchers in the field—this could be a good indicator for selecting new drug candidates!

This is where the role of data curation comes into play. Data curation is the process of organizing, cleaning, and maintaining data from different sources to create a coherent set of information. This method allows scientists to access all available information, assess its quality and relevance, and use it to discover new drug candidates.

 But what if a platform could do the heavy lifting? Platforms are adept at crawling through multiple sources, collecting and organizing data, and then synthesizing a report that is easy to read and understand.

The DISQOVER Knowledge Platform is designed to do just that – gather all relevant information on an issue in seconds. The engine uses natural language processing (NLP) to read through previously published material and extract the key points, then builds a report around these findings. The engine can also be programmed with specific keywords or phrases to search for, which means it can pull up specific evidence on an issue that is relevant only to your organization’s interests.



DISQOVER integrates numerous publication sources into one consistent and intuitive interface. Literature search results are harmonized into a common data model, significantly reducing the risk of duplicates and enhancing data curation. As a result, researchers can get the comprehensive results and the evidence they need faster, accelerating research.DISQOVER Literatrue

DISQOVER is a knowledge platform that combines the power of DISQOVER’s natural language processing (NLP) technology with a modern and intuitive user interface. The platform enables researchers to quickly scan, search, browse, and navigate through all available evidence in one place. This unique approach allows them to find relevant information instantly, no matter the format, content, or source.
DISQOVER uses various patented technologies to support full-text search and analysis of unstructured content.
DISQOVER’s Data Ingestion Engine has been integrated into the Knowledge Platform to enable it to read through previously published material and extract the key points in seconds. The engine can also be programmed with specific keywords or phrases to search for, which means it can pull up particular evidence on an issue relevant only to your organization’s interests. As a result, researchers can get the comprehensive results they need faster than ever before.
The Knowledge Platform also enables researchers to browse through previously published material by country or region, by topic area or keyword, or by publication source — which means you can reveal insights faster than ever before.




  • Scan numerous publications simultaneously for literature and evidence relevant to your case.

  • Rely on a consistent and intuitive user interface that harmonizes search results and makes information curation easier than ever.

  • Speed up the research process, boost productivity, and lower costs while accelerating time to value.



Go hands-on with the DISQOVER Community Edition to search, explore and visualize data from a variety of public sources for free, or get in touch with our team to schedule a personalized demo. 



The term ‘big data’ seems old school now that ‘machine learning’, ‘deep learning’ and emerging concepts such as ‘edge AI’ are the hypes of the day. However, despite our general familiarity with the concept of big data, challenges related to data-driven decision making still remain.  Several key learnings have emerged over the last decade. How do we use our expensive data processing and analytics tools to generate actionable insights?