The STM Integrity Hub is a platform developed in collaboration between publishers and STM Solutions, the operational arm of The International Association of Scientific, Technical, and Medical Publishers (STM) worldwide. Read More
Our Blogs
How Enterprises Leverage Web Scrapping to Their Benefit
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. Read More
Preserving Scientific Integrity: The Vital Role of Stakeholders
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. Read More
Ensuring Credibility and Trustworthiness: Promoting Best Practices for Research Integrity
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 connections. Read More
AI/ML is Transforming the Scholarly Publishing Industry
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 advanced and efficient. Read More
The undeniable value of accessibility
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). Read More
Motives behind Different Types of Data Annotations
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
Data Annotation, Crucial Success Factor for AI/ML
For enterprises, analyzing textual data from customer opinions on products aids in market analysis and prediction. Data annotation solutions are indispensable for accurately interpreting this information and driving strategic insights. Read More
Providing descriptive captions for images part 2
Accessible images enhance user experience, improve search, navigation, and provide richer audio experiences, benefiting all users and leveling the playing field for those with disabilities and diverse access needs effectively. Read More
Providing descriptive captions for images. How important is this for authors and publishers?
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. Read More
Making Real Progress towards the SDGs: What Publishers Can Do
The Sustainable Development Goal (SDGs) Publishers Compact is a non-binding pledge recognizing the publishing industry’s duty to contribute to a sustainable future by promoting responsible practices and advancing global sustainability. Read More
Upholding the Highest Standards of Quality, Trust, and Ethics to Maintain the Integrity of Published Literature
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 confirmed. Read More
Achieving Seamless Business Processes Using Data
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. Read More
Lessons From Rebranding During A Pandemic
Rebranding often discards the existing company identity due to changes in focus, delivery models, and objectives. In my case, it was about building on a finely crafted legacy rather than. Read More
Data Annotation, Imperative to Drive Excellence
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. Read More