Before delving into the role of technology, it is crucial to understand the detrimental impact of paper mills on scholarly publishing. The rise of paper mills has had a profound.
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Our Blogs
The Impact of Paper Mills on Scholarly Publishing: Understanding the Problem and its Consequences
Examining the Role of Technology in Combating Paper Mills: Innovations and Challenges
The growing prevalence of predatory publishing practices is a cause for alarm. As the digital age has made publishing more accessible, it has also opened the floodgates for unscrupulous entities. Read More
Why Digital Transformation is the Fuel for Fluid Business Intelligence
Cutting-edge technology, such as end-to-end artificial Intelligence (AI) and machine learning (ML), must be deployed to provide insights to businesses in a cost-efficient way. As a result, we can implement. Read More
Ensuring Originality in Academic Writing and Research: The Role of Similarity Check Reports – Part 2
The CrossRef Similarity Check service helps publishers and editors to detect potential plagiarism in submitted manuscripts. The Similarity Check service is powered by iThenticate, a plagiarism detection software that uses. Read More
Ensuring Originality in Academic Writing and Research: The Role of Similarity Check Reports – Part 1
The significance of similarity check reports lies in ensuring academic work is original and properly cited. This is crucial in academic writing, as the author’s reputation and credibility depend on.
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How Journals Should Address the Challenges in the Peer Review Process Part 2
Peer-reviewed journals publish good, high-quality, and pioneering articles written by experts on their discoveries. The journals bring credibility to these articles by engaging experts from the same domain as the. Read More
How Journals Should Address the Challenges in the Peer Review Process Part 1
Peer reviewers might be trained to enhance the quality of the reviews and the turnaround time. Several training programs, such as open review, co-review, etc., are already being conducted though. Read More
The STM Integrity Hub: A cohesive approach to preserve the integrity of research
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
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