Home » R Discovery » Quality Matters: Improving Your Literature Reading With High-Quality Content

Quality Matters: Improving Your Literature Reading With High-Quality Content

Photo by Pixabay from Pexels

Academic literature is made up of an ever growing and seemingly endless supply of content. For researchers looking to wade through this data to find the most relevant literature reading for their work, there are two critical aspects to their search. First, their search should cover all the content in their field of study, especially the most recent developments. Secondly, it should help them discover the right content that is both relevant and trustworthy. R Discovery knows why reading literature is important for researchers and how critical it is to find high quality research, so we put our best minds together to ensure we get these key aspects right for you.

One of the challenges researchers face in getting trustworthy results is the growing presence of predatory journals. Predatory journals have been acknowledged as a threat to the integrity of science and research worldwide. They lure in inexperienced researchers and often publish content without critical peer review, failing to ensure it is high-quality research. So, when other researchers or the wider public refer to and rely on this unverified research content, there is an increased risk of failure, inconsistent results and even possible retractions of referred papers.

Building a growing repository of reliable high-quality research

To ensure academicians have access to high-quality research on their literature reading journey, R Discovery decided to take on the extra cost of building its own data repository from scratch. At present, this smart app has set up a separate repository consisting of over 100 million research papers, which allows it to ensure only high-quality research to be included. Nothing is added to this carefully curated repository unless it passes all the stringent checks and tests needed for data to qualify.

When looking to expand its repository, R Discovery follows a strict three-step check to ensure you are exposed to reliable research.

  1. We only consider content from reputed academic data sources. R Discovery’s research repository is based on integrations with top research databases like PubMed, PubMed Central, and Crossref, and through partnerships with reputed publishers to get direct access to high-quality research articles.
  2. We conduct checks and eliminate predatory content before ingestion. The R Discovery system identifies red flags and removes all potentially fraudulent research content from the list. This one-of-a-kind check, which combines third-party lists and proprietary logic, allows R Discovery to clean up the research at the data ingestion stage itself, well before it is added to our repository. This is a massive success for R Discovery, allowing us to present you with only high-quality research that improves your literature reading experience. What makes this unique is that even the largest data aggregators are unable to remove unreliable content because it is exceedingly difficult to tag and remove these predatory journals and publishers.
  3. Additional checks to weed out any unreliable content from the repository. If research content added to the R Discovery repository earlier is publicly identified as predatory at a later stage, it is deleted from the database with appropriate messaging to the affected users. This helps us retain your trust as a reliable literature reading app.

At R Discovery, we know why reading literature is important for researchers and therefore it is important for us to ensure we provide you with high-quality research. We genuinely believe in providing you with the best; we will continue to listen to what you want and work to address all your literature reading challenges.

More than 2 million academicians from over 190 countries have chosen R Discovery for their literature reading needs, and we’re just getting started. If you are using or have just downloaded the R Discovery app and want to share some feedback with us, write to us at discovery@researcher.life.

Related Posts