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Research topics evolve, funder and institutional mandates change, and researchers need different things from journals over time. When capacity allows, annual reviews of both data and the strategies built on them allow plans to be moderated in line with the research ecosystem’s needs. … Read More

The process of correctly labeling the datasets in order to train the Artificial Intelligence (AI) and Machine Learning (ML) algorithms to identify the data and provide the most accurate results for your queries. … Read More

Rebranding often lets go of the existing company identity due to a change (or a complete overhaul) in solution focus, delivery models, and brand and business objectives. In my case, however, it was more about building on a finely crafted legacy to cultivate a new brand identity. … Read More

Using a framework of basic schedules, milestones, task owners, emergent resource dependencies, and the like helps break down complex projects into manageable modules. Teams need reliable end-to-end visibility into resources for strategic project management planning. … Read More

Making the data supporting a scientific truth claim available for peer review and post-publication study is a crucial component of scientific publishing as it enables method and reasoning to be confirmed or refuted, conclusions to be examined, and any observations or experiments to be duplicated. … Read More

The Sustainable Development Goal (SDGs) Publishers Compact is a non-binding pledge recognizing the publishing industry’s obligation to contribute to developing a sustainable future. … Read More

Accessible images provide all users with a better experience in addition to leveling the playing field for readers with disabilities. These improvements range from better search and quicker navigation to richer audio experiences for those using text-to-speech assistive technologies. … Read More

Each organization’s decision to manage its image description workflows is influenced by a variety of factors. It is however a universal truth that you will be closer to achieving fully accessible content if you can make image description an integral part of content creation. … Read More

For enterprises, analysis of textual data retrieved, for example, from customer opinion regarding a product, can be used in market analysis and prediction. This is where data annotation solutions become indispensable. … Read More

Types of Data Annotations – The process of labeling data sets to make them machine-readable is data annotation. Data annotation or labeling is regarded as an indispensable adjutant to machine learning. … Read More

Accessible content enables maximum user flexibility for all readers, with or without disabilities. For content to be accessible, the following elements must be included: The Web Content Accessibility Guidelines (WCAG) are a set of rules that were formed by the World Wide Web Consortium (W3C). … Read More

AI in scholarly publishing – Artificial intelligence (AI) is significantly changing how researchers interact with their audiences while also transforming the scholarly publishing sector to become more technologically focused. … Read More

Research integrity has become a priority for a variety of stakeholders in the scientific community as a means to improve the dependability and validity of findings, create ethical research cultures, and maintain public faith in the scientific method. … Read More

Data analysis and reporting are essential components of research integrity that guarantee the precision and validity of study findings. Data analysis is necessary for researchers to find patterns, trends, and connections in the data they have gathered. … Read More

Web scraping is a data extraction process for collecting raw data that is generated from various processes on websites. This raw data would be going through multiple stages of cleaning, and pre-processing to analyze and derive insights for a specific use case. … Read More