According to its own description, the biomedical meta-database PubMed exists "with the aim of improving health-both globally and personally." Unfortunately, PubMed contains an increasing amount of low-quality research that may detract from this goal. Currently, PubMed warns its users and protects itself from such problems with a disclaimer stating that the presence of any article, book, or document in PubMed does not imply an endorsement of, or concurrence with, its contents by the NLM, the National Institutes of Health (NIH), or the U.S. Federal Government. However, we are critical of a "disclaimer-only" stance and encourage PubMed to take further action against low-quality research being found and indexed in its database, and thus available for use. To address this problem, we offer two lines of reasoning to argue that PubMed should not function merely as a passive index of health-related research. Instead, we first argue that only trustworthy published research is able to further PubMed's goal of health improvement. Secondly, on the basis of surveys, we argue that researchers place a high level of trust in articles that are referenced in this meta-database. We cannot expect any one set of actors to ensure trustworthy content on PubMed, which requires collective responsibility among authors, peer reviewers, editors, and indexers alike. Instead, we propose a curation-based model that incorporates three mechanisms of collaborative content curation: open expert feedback on indexed content, journal auditing, and constant transparent reassessment of indexed entities.
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http://dx.doi.org/10.1080/03007995.2024.2350612 | DOI Listing |
Curr Med Res Opin
May 2024
Department of Oral Health & Medicine, University Center for Dental Medicine UZB, University of Basel, Basel, Switzerland.
According to its own description, the biomedical meta-database PubMed exists "with the aim of improving health-both globally and personally." Unfortunately, PubMed contains an increasing amount of low-quality research that may detract from this goal. Currently, PubMed warns its users and protects itself from such problems with a disclaimer stating that the presence of any article, book, or document in PubMed does not imply an endorsement of, or concurrence with, its contents by the NLM, the National Institutes of Health (NIH), or the U.
View Article and Find Full Text PDFThe Asian citrus psyllid, , is an insect vector that transmits Liberibacter asiaticus, the causal agent of the Huanglongbing (HLB), or citrus greening disease. This disease has devastated Florida's citrus industry, and threatens California's industry as well as other citrus producing regions around the world. To find novel solutions to the disease, a better understanding of the vector is needed.
View Article and Find Full Text PDFNPJ Syst Biol Appl
January 2020
Department of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.
Staphylococcus aureus is a metabolically versatile pathogen that colonizes nearly all organs of the human body. A detailed and comprehensive knowledge of staphylococcal metabolism is essential to understand its pathogenesis. To this end, we have reconstructed and experimentally validated an updated and enhanced genome-scale metabolic model of S.
View Article and Find Full Text PDFCurr Protoc Bioinformatics
September 2019
BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
In recent years, the number of human long noncoding RNAs (lncRNAs) that have been identified has increased exponentially. However, these lncRNAs are poorly annotated compared to protein-coding genes, posing great challenges for a better understanding of their functional significance and elucidating their complex functioning molecular mechanisms. Here we employ both community and expert curation to yield a comprehensive collection of human lncRNAs and their annotations.
View Article and Find Full Text PDFPLoS One
August 2017
Department of Geology, University of Illinois Urbana-Champaign, Urbana, Illinois United States of America.
Site-Based Data Curation (SBDC) is an approach to managing research data that prioritizes sharing and reuse of data collected at scientifically significant sites. The SBDC framework is based on geobiology research at natural hot spring sites in Yellowstone National Park as an exemplar case of high value field data in contemporary, cross-disciplinary earth systems science. Through stakeholder analysis and investigation of data artifacts, we determined that meaningful and valid reuse of digital hot spring data requires systematic documentation of sampling processes and particular contextual information about the site of data collection.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!