NLM Musings from the Mezzanine
Innovations in Health Information from the Director of the National Library of Medicine
Guest post by Teresa Przytycka, PhD, Senior Investigator, Computational and Systems Biology section of the Computational Biology Branch at the National Library of Medicine’s National Center for Biotechnology Information, National Institutes of Health. The functioning of any complex system involves interactions between elements of that system. This is true at the cellular level, the macro … Continue reading The Significance of Network Biology
Guest post by Dr. Graciela Gonzalez-Hernandez, associate professor of informatics at the Perelman School of Medicine, University of Pennsylvania. Social media has grown in popularity for health-related research as it has become evident that it can be a good source of patient insights. Be it Twitter, Reddit, Instagram, Facebook, Amazon reviews or health forums, researchers … Continue reading On the Ethics of Using Social Media Data for Health Research
Guest post by Derek Johnson, MLIS, Health Professionals Outreach Specialist for the National Network of Libraries of Medicine Greater Midwest Region Recent articles in Preventing Chronic Disease and The Nation’s Health chronicle how public libraries can complement the efforts of public health workers in community outreach and engagement. Data tell us that more Americans visit … Continue reading National Public Health Week 2019: How NLM Brings Together Libraries and Public Health
Guest post by Dr. Valerie Florance, Director of the NLM Division of Extramural Programs. It is an exciting time to be a biomedical informatician or data scientist. First, NLM has committed to transforming the infrastructure of biomedical research and health care. In support of that, NLM’s research grant programs help fund the computational, informatics, and … Continue reading Seeking Innovative Methods in Biomedical Informatics and Data Science
Eric Dishman delivers the 2018 Leiter Lecture
Stanford's John Ioannidis recently joined 71 other methodologists in proposing that we lower the p-value threshold for claiming statistical significance in research from .05 to .005. This proposal is intended to reduce the rate of false positives and improve reproducibility in scientific research. On the other hand, given the lax, inaccurate, or confusing ways the … Continue reading Quality Data, Quality Findings
NIH-funded research is rapidly becoming more and more data-driven. This is true whether that research is intramural or extramural or whether it is focused on solving concrete problems or advancing methodologies for specific domains. Right now, NLM's role in this data-driven research centers on developing scalable, sustainable, and generalizable methods for making biomedical data FAIR: … Continue reading Next-Generation Data Science Research Challenges
On the future of scientific communication
Guest post by Mark D. Hill from the Computing Community Consortium and the University of Wisconsin-Madison. The content originally appeared in The CCC Blog on January 23, 2018. It is reprinted with permission. For weeks [The CCC Blog has] been recapping the Computing Community Consortium (CCC) Symposium from the perspective of the researchers and industry … Continue reading Connecting Computing Research with National Priorities
See last week’s guest post, “Adventures of a Computational Biologist in the Genome Space,” for Part 1 of Dr. Koonin’s musings on the importance of computational analysis in biomedical discovery. While the genomic revolution rolls on, a new one has been quietly fomenting over the last decade or so, only to take over the science … Continue reading Exploring the Brave New World of Metagenomics