A pioneer in voluntary collective licensing, CCC (Copyright Clearance Center) helps organizations integrate, access, and share information through licensing, content, software, and professional services. With expertise in copyright and information management, CCC and its subsidiary RightsDirect design and deliver innovative information solutions that power decision-making by helping clients integrate and navigate data sources and content assets.

Through our partnership with SciBite, CCC integrates SciBite’s award-winning semantic platform, hand-curated VOCabs, and Named Entity Recognition (NER) engine TERMite in our RightFind Insight and RightFind Navigate products. These integrations improve discovery and enhance the reading experience for customers. Also, through the combination of SciBite DOCStore and RightFind XML for Mining, clients can easily access, enrich and index full-texted XML articles from a wide range of scientific publishers.

Managing data during the development and manufacture of precision medicines or crops is challenging. Data is generated at multiple stages of the process, and this flows between different tools, groups, and even organisations.

Through their Enterprise Science Platform (L7|ESP), L7 provides a platform to drive data intelligence and support data management, combining ELN, LIMS, Sample Management, Inventory, Electronic Batch Record (EBR), and dashboarding functionality into a single tool.

To support this complex data capture and management process, L7 builds and maintains data models using CENtree (SciBite's enterprise ontology management platform), leveraging public ontologies where possible and embracing FAIR. These data models in the form of ontologies are supplied to customers, and L7 customers use CENtree functionality through L7|ESP. Customers can modify and extend these models to fit the specific data and use cases, facilitating robust search and analytics.

Modak is a solutions company that enables enterprises to manage and utilize their data landscape effectively and provide technology, and cloud-agnostic software and services to accelerate data migration initiatives.

Modak uses machine learning (ML) techniques to transform how structured and unstructured data is prepared, consumed, and shared. Modak Nabu™ converges data discovery, ingestion, preparation, cataloging, unification, quality, and profiling into a single data engineering platform to provide Google-like metadata search across data repositories.

By automating mundane and laborious data preparation tasks, Modak Nabu™ significantly reduces the time taken to develop and deploy data pipelines across thousands of on-premise, cloud, and external data sources.

The integration of Modak Nabu™ with SciBite’s TERMite empowers customers with the ability to simplify TERMite annotations by possessing ready access through Modak Nabu™ to the data and integrate TERMite ontologies into standardized and harmonized data pipelines. Thus streamlining and accelerating the preparation of machine-readable and FAIR data.

Data overwhelms most life science organizations. It’s spread across siloed systems and is difficult to turn into usable information and insights. This friction slows processes, such as the development time for new drugs or devices.

Sinequa Intelligent Search platform helps Healthcare and Life Sciences organizations connect employees to the data, knowledge, and expertise in their work. Sinequa provides the unique ability to access content in all formats, securely and at scale across all sources. Scibite and Sinequa work in concert to enrich this data semantically and extract its meaning, allowing employees to surface relevant information and remove ambiguity.

Knowledge Graphs are increasingly being used as a tool to navigate and extract insight from the huge volumes of scientific data being collected. Major challenges in the production of knowledge graphs are the scale of data being served and having machine readable and clean data to feed into the graph.

SciBite and Stardog are addressing these challenges together through partnership. SciBite provides the tooling to build an underlying data model based on ontologies and generates machine readable input for the graph, through the extraction and tagging of scientific entities and their relationships. Stardog provides a robust and highly scalable graph technology, allowing machine readable data to be queried and new and novel scientific insight extracted.