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Why Is Taxonomy Necessary in Digital Asset Management?

Implementing and managing a Digital Asset Management (DAM) system requires much effort. Hence, you must get the most out of your DAM solution. Getting the most out of your DAM solution requires maintenance and optimization – including developing a taxonomy that is easy to navigate and evolve. One of the universal goals of operating a […]

Why Terminology Matters for Autonomous Ship Rule Development

Following the Maritime Safety Committee’s 105th session, steps were initiated for formulating an international regulatory framework for Maritime Autonomous Surface Ships (MASS). However, for successfully developing the framework, outstanding questions on terminology and scope must be resolved first, as there are currently no standard terms for MASS. The complex nature of the regulatory process offers […]

Digital Preservation Framework Goes Live as Linked Open Dataset

The National Archives and Records Administration (NARA) is making its Digital Preservation Framework available as a Linked Open Dataset. Aimed at sharing NARA’s research with digital preservation professionals worldwide, the dataset expands access previously available only through GitHub. Included in the data is an assessment of the risk level of a particular file type, with […]

Principles-Based Taxonomy for Sustainable Investing

The International Institute for Sustainable Development (IISD) developed a social taxonomy of business activities. The taxonomy is based on the client country’s social and economic development goals. It has two guiding principles and is aligned with international norms and best practices. Subsequently, these norms and practices became the minimum threshold-level activities for the user of […]

How Artificial Intelligence is Revolutionizing Publishing

Publishers are aware of the challenges in transitioning to digital-led publishing processes and a data-driven business landscape. On the one hand, many do not know how to unlock the value of their content and data. On the other, publishers are leveraging data science and Artificial Intelligence (AI) to unlock the value. These publishers understand the […]

A Model for Standardizing Data in Commercial Real Estate

Advancements in the Internet of Things (IoT), including smart buildings and smart systems, have resulted in humongous data being generated. However, for building owners, asset managers, developers, and data scientists to refine and build solutions that improve efficiency, sustainability, and the tenant experience, this data should be made usable and normalized. To collect and extract […]

Objectiv—an Open-Source Project for Customer Data Modeling

Objectiv is a community-driven open-source project aiming to do for customer data modeling what Hugging Face did for natural language processing. Its key objective is to build data models on one team/company’s dataset and run them seamlessly on another team/company’s dataset. The first step Objectiv took was to define an open analytics taxonomy, which offers […]

Asia Needs a Unified ESG Taxonomy

Many Asian countries are creating and defining Environmental, Social, and Governance (ESG) taxonomies. In some countries, taxonomies for sustainable finance have been created; in others, taxonomies are in various stages of development. So, is this multiplicity an obstacle to a greener future? To an extent, this divergence is inevitable as regional governments in Asia are […]

How Life Science Companies Benefit from Leveraging Ontologies

Life science companies face a two-pronged challenge: making their legacy data Findable, Accessible, Interoperable, and Reusable (FAIR), and ensuring newly generated data are also FAIR. Curating data with domain-specific ontologies help to overcome these challenges because ontologies structure data in a way that ticks all the FAIR boxes. It is important to ensure the legacy […]