As R&D teams are pressed to accelerate the pace of innovation while facing stagnant or shrinking budgets, the promise of data-centric R&D models seem irrefutable. Whether organizations are aiming to increase the reuse of existing knowledge, implement data-driven decision making, or are working towards new R&D models based on artificial intelligence (AI) / machine learning (ML), two prerequisites are often neglected: Data needs to be readily available and the context of these data needs to be understood.
Data together with context is data intelligence, and therefore should be viewed as foundational for any data-centric R&D effort.
Data-scientists need accurate and reliable R&D that correctly reflect experimental context, without having to worry about their sources, i.e. departments, disciplines, and collaborations.
Research managers need clear line-of-sight into how their projects are progressing with up-to-date dashboards and update reports that are easy to compile.
Scientists need to learn from past successes and failures. They need to understand what worked before and what steps lead to success.
Why is it so difficult to gain value from R&D data? After all, many organizations in life sciences and chemicals/materials research have invested in digital infrastructure designed to capture and manage R&D data. However, when it comes to retrieving data out, the situation is often less than ideal, because the wider experimental context is lost.
Dotmatics resolves this challenge with a unified, data-centric platform approach that integrates the different data types which make up the experimental fabric. This capability also allows tailoring of permissions, based on roles For example, lab technicians may only see the data relevant to a specific test, while scientists can analyze the totality of data that makes up a specific experiment.
Given access to all data connected to a given experiment, scientists can explore data in ways that they otherwise couldn’t. Dotmatics experimental workflows are configured to include all relevant data in one place without overburdening the user with data that aren’t relevant to their analysis.
Whether experiments are highly standardized, such as antibody screening workflows, or highly diverse such as in materials science applications, Dotmatics provides a flexible framework to give a holistic view onto your research data, allowing you to cross reference chemistry, biology, formulation, process and analytical/physical characterization data.
While it is incredibly powerful being able to access all relevant data for an experiment in one place, Dotmatics can take advanced knowledge extraction one step further. Oftentimes, researchers need their analyses to span series of experiments, whether to analyze a multi-step reaction with all their intermediates, or to understand how a series of experiments resulted in a successful outcome. Or, when project requirements are close to prior work, relevant experiments need to be aggregated to create the best possible starting point. Without Dotmatics’ data intelligence solutions these efforts often become insurmountable, resulting in the duplication of costly experimentation.
Data visualization is a key activity within data intelligence: the process of turning data into knowledge. Unlike others who see data visualization as an endpoint, Dotmatics’ Vortex is an integral part of the data lifecycle, allowing scientists to feed their insights back into the platform. This enables decision support or creates the basis of new projects. Or, selections of relevant experiments within the design space may be fed into other applications, creating an open environment for innovation.
The Dotmatics unified platform can be deployed either standalone or as a solution to integrate various transactional systems (e.g. LIMS and/or ELN) to help you turn your research data into valuable assets to accelerate innovation. Integrations can be implemented to tie various data silos together or to span a variety of disciplines (e.g. chemical synthesis, formulations, process and analytical/physical characterization). Other integrations at the application level allow for the streamlining of workflows (e.g. for instrument data acquisition and preprocessing).
Dotmatics Browser is a powerful web-based search and reporting solution that provides federated searching across Dotmatics and third party research databases, enabling research scientists to access all of their data whenever they need it, irrespective of where it is stored.
Blueprint is a web-based visualization and scientific analytics application. It is designed to help project scientists working on small molecule discovery projects to visualize and analyze their data, and to help them to design their next set of compounds to make.
Dotmatics Studies Notebook is an Electronic Laboratory Notebook (ELN) with flexible templating to capture, store and search experiments from all scientific disciplines.
Dotmatics Vortex is an interactive data visualization and analysis solution for scientific decision support. Building on and extending the spreadsheet paradigm, it provides the data manipulation, statistical analysis and sophisticated plotting capabilities required to explore and understand any complexity and size of data. Vortex is also scientifically aware providing native cheminformatics and bioinformatics analysis and visualizations.
The Dotmatics Platform is the common framework that supports the Dotmatics web-based scientific applications and allows them to work together to provide users seamless end-to-end workflows. The Platform supports managed deployments in the Cloud or self-supported deployments on premise. An open architecture enables workflows to include third-party software integration. When used together with Dotmatics Browser the Platform allows federated data access across corporate and external research data. The Dotmatics Platform is completely unified – it provides common data models, code and architecture to support business workflows that span the capabilities of the individual applications. This is important for enterprise enablement of research organizations, providing ease of maintenance and development. It gives the lowest possible total cost of ownership compared to platforms that support their applications with less tightly integrated collections of multiple technologies and/or architectures with multiple development histories.
Mobile technology offers a unique opportunity to collaborate, access data and make decisions on the go, increasing throughput and reducing time consumed by review processes. The Dotmatics Platform on the cloud allows the integration of multiple, diverse systems and data sources. Organizations can now securely access all of the Dotmatics solutions, using a web browser, on their own dedicated instance running in the cloud. This provides users with an all-encompassing view of relevant information, enabling better informed science and business decisions. The Dotmatics Platform in the cloud is powered by Amazon Web Services™ (AWS). Data security is guaranteed when using the gold standard AWS infrastructure. Dotmatics’ solutions are installed in Amazon-controlled data centers around the world thus ensuring that data is housed at the user’s preferred location. The Dotmatics Platform provides a single point of access to all science data and functions across multidisciplinary groups. The flexibility enables scientists, collaborators and partners to instantly interact with the same data via the cloud regardless of location and time zone, fulfilling the promise of real time research.
At the heart of collaborative research
Protect and control your database with single tenancy
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Dotmatics Chemselector manages very large chemistry datasets with fast search and trivially simple maintenance/update. It has a modern user interface focused on browsing and filtering for molecule, reagent and sample selection. The available eMolecules+ for Chemselector dataset provides access to highly curated eMolecules sourcing data.
eMolecules+ for Chemselector
Dotmatics Cascade manages the requesting and assignment of laboratory tasks, and tracking the progression of samples, across multiple teams within an organization or across a collaborating network.
Dotmatics Reaction Workflows is a graphical environment that enables scientists to build and execute data processing workflows to perform common cheminformatics tasks, such as library enumeration, structure normalization and compound profiling. Users build workflows in a drag-and-drop environment by selecting and connecting nodes that provide inputs (e.g a list of reagents) and outputs (e.g. view in Dotmatics Vortex) or perform actions (e.g. perform a reaction), configuring them with data and then executing the workflow to produce results. Many different tasks can be configured including:
Dotmatics Inventory is a fully searchable sample and materials inventory that tracks chemicals, biologics, instruments and associated data across a hierarchy of locations and manages the dispensing and plating workflows, as samples are moved through an R&D process.
Dotmatics Pinpoint is a chemical cartridge for indexing and searching chemistry within Oracle databases.
Pinpoint enables indexing of chemical structures, calculations of physical chemical properties and substructure searches within an Oracle database. It is used to support structure searching with Dotmatics Browser, check for structural uniqueness and register molecules in Dotmatics Register, and store and search chemical reactions in Dotmatics Studies Notebook.
Dotmatics Elemental is a chemical sketcher that enable scientists to draw, edit and save structures and reactions, and calculate properties.
Dotmatics Register is a web-based compound and batch registration system used to maintain corporate chemical registration and reagent databases.