FAIR data Archives

FAIR data – Ten simple rules to FAIRify your data

In the fourth and final blog in this series Scibite’s Head of Ontologies, Jane Lomax, shares her top 10 simple rules to start and progress your FAIR data journey.
Read
Are ontologies still relevant in the age of LLMs?

Technological advancements exhibit varying degrees of longevity. Some are tried and trusted, enduring longer than others, while other technologies succumb to fleeting hype without attaining substantive fruition. One constant, in this dynamic landscape is the data.
Read
Microbiome repurposing: Is it a potential therapeutic approach & how can we do it with LLMs?

Discover the past and future of microbiome-based healing. From ancient remedies to modern AI, learn how SciBite's groundbreaking approach blends Large Language Models (LLMs) with advanced tech to unravel the potential of therapeutic microbiomes.
Read
FAIR as a means to get more value from your data

In this blog, we’ll explore a selection of the many ways organizations can leverage the rapid developments in data discovery, machine learning, and data mining to release value from this asset.
Read
Unlocking important real world evidence from patient data (Part 2) – Data domain deep dive

In this part of our blog series, "Unlocking important real-world evidence from patient data," we will demonstrate our expertise in various important data domains using SciBite tooling, including problem list diagnoses, lab orders, and medication orders.
Read
The key to being FAIR

In our previous blog, we explained why FAIR data is important not only for biotech and pharmaceutical companies but also for their partners. Here we describe how ontologies are the key to having the richly described metadata that is at the heart of making data FAIR. Let’s explore how ontologies help with each aspect of the FAIR data principles…
Read
Unlocking important RWE from patient data (Part 1) – Why and how?

In this three-part blog series, we explore the challenges healthcare organizations face in unlocking patient data for real-world evidence. In part 1 Unlocking Important Real World Evidence (RWE) from Patient Data – Why and How?
Read
Why do you need FAIR data?

For many organizations, the idea of adopting FAIR can be confusing and daunting. Over the coming weeks, we’ll present a series of blogs to help demystify FAIR. In this series, we’ll cover topics including how ontologies provide the key to being FAIR, and how FAIR enables you to get more value from your data.
Read
How SciBite and Elsevier manage KOL identification

Identifying KOLs enables our customers to be the first to follow the latest trends and markets or start new collaborations. As you can imagine, spotting and engaging KOLs as fast and accurately as possible is crucial - read more to understand how.
Read
Large language models (LLMs) and search; it’s a FAIR game

Large language models (LLMs) have limitations when applied to search due to their inability to distinguish between fact and fiction, potential privacy concerns, and provenance issues. LLMs can, however, support search when used in conjunction with FAIR data and could even support the democratisation of data, if used correctly…
Read
A report from the Biocuration 2023 Conference in Padua, Italy

The Biocuration Conference this year was held in the beautiful historic town of Padua in the Veneto region of Italy, renowned for its ancient University and picturesque old town. The stylish and relaxed atmosphere was the perfect place for catching up with old friends and establishing new connections and collaborations.
Read
A review of the Pistoia Alliance Spring Conference 2023

Last week SciBite was lucky enough to attend, and present at, the Pistoia Alliance Annual Spring Conference ‘23, held at the fantastic Leonardo Royal Hotel, St. Pauls, London. Read the thoughts of our Director of Technical Consultants, Joe Mullen
Read
Streamlining data-intensive scientific workflows through FAIR data

Streamlining data-intensive scientific workflows and supply chains through FAIR data, data models and applications – A collaboration between L7 Informatics and SciBite. With increasingly complex manufacturing and supply chains in the life sciences, there is a requirement for flexible and extensible tools to support data management.
Read
SciBite unveils partnership with Modak

Modak, a leading provider of data engineering solutions, and SciBite, an award-winning provider of semantic analytics technologies, today announced a partnership that will empower Life Science enterprises to fast track the process of generating insights from research publications, patents, and documents, which is crucial for advancing scientific discovery.
Read
Delivery of precision medicine through alignment of clinical data to ontologies

Precision medicine is changing the way that we think about the treatment of disease, moving from broad-acting therapies to therapies tailored to the individual patient. This increasingly relies on real-world data (RWD), encompassing a diverse range of sources, spanning multi-omic molecular characterisation of the patient’s condition, clinical presentation, treatment, and broader medical histories.
Read
SKOS in CENtree: Further support in our latest 2.1 release

At SciBite terminologies underpin all that we do. There are many ways to represent and build a standardised terminology, each with different levels of complexity. On one hand you have simple, informal, lightweight terminologies (e.g., glossaries, dictionaries, and thesauri), where the meaning (semantics) of terms is captured using natural language.
Read
SciBite brings enterprise ontologies to Benchling – Ontology backed data capture

Unstructured and siloed data in the life sciences remains a significant barrier to fulfilling the promise of digital transformation. Awareness is growing for the importance of data capture and storage, enabling it to be effectively found, accessed, used interoperably and reused. These are the foundations of FAIR. Capturing data with FAIR in mind, ensuring your data is “born FAIR”, is key to unlocking the full potential of data.
Read
SciBite announces the release of CENtree 2.0.1

In this blog we announce the 2.0.1 release of CENtree, SciBite’s ontology management platform, which sees the introduction of features that enable you and your team greater control over managing and deploying ontologies in your applications, and a closer integration with TERMite.
Read
What’s new in CENtree 1.4:
Making ontology management simple

Find out what's new in CENtree 1.4, the latest release of the enterprise ready multi-user ontology management platform for browsing and managing ontologies.
Read
Bringing FAIR data and CMC procedures together

In this blog we introduce our new package of vocabularies designed to enable the FAIR data principles and help pharmaceutical companies navigate their documents with respect to Chemistry, Manufacture and Control (CMC) procedures.
Read
Sprinkling a little semantic enrichment into your data catalog

This blog focuses on the use and value of data catalogs and Master Data Management (MDM) tools and how the additional layer of Semantics is required in order to truly see their value for enterprises looking to manage their data better.
Read
SciBite launches CENtree, ontology management for life sciences

Cambridge, UK - SciBite, the award-winning semantic technology company, today announced the launch of CENtree, an innovative, collaborative platform which revolutionizes the way life sciences organizations manage and release ontologies.
Read