Dataset Information

Publishing scientifically sound papers in Traditional and Complementary Medicine.

ABSTRACT: Non-conventional medical practices that make use of dietary supplements, herbal extracts, physical manipulations, and other practices typically associated with folk and Traditional Medicine are increasingly becoming popular in Western Countries. These practices are commonly referred to by the generic, all-inclusive term "Complementary and Alternative Medicine." Scientists, practitioners, and medical institutions bear the responsibility of testing and proving the effectiveness of these non-conventional medical practices in the interest of patients. In this context, the number of peer-reviewed journals and published articles on this topic has greatly increased in the recent decades. In this editorial article, we illustrate the policy of the Journal of Traditional and Complementary Medicine for publishing solid and scientifically sound papers in the field of Traditional and Complementary Medicine.

SUBMITTER: Isidoro C

PROVIDER: S-EPMC4765763 | biostudies-other | 2016 Jan

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Publishing scientifically sound papers in Traditional and Complementary Medicine.

Isidoro Ciro C Huang Chia-Chi CC Sheen Lee-Yan LY

Journal of traditional and complementary medicine 20160116 1

Non-conventional medical practices that make use of dietary supplements, herbal extracts, physical manipulations, and other practices typically associated with folk and Traditional Medicine are increasingly becoming popular in Western Countries. These practices are commonly referred to by the generic, all-inclusive term "Complementary and Alternative Medicine." Scientists, practitioners, and medical institutions bear the responsibility of testing and proving the effectiveness of these non-conven ...[more]

PMID: 26933641

Similar Datasets

Project description:With the rapidly increasing amount of scientific literature, it is getting continuously more difficult for researchers in different disciplines to keep up-to-date with the recent findings in their field of study. Processing scientific articles in an automated fashion has been proposed as a solution to this problem, but the accuracy of such processing remains very poor for extraction tasks beyond the most basic ones (like locating and identifying entities and simple classification based on predefined categories). Few approaches have tried to change how we publish scientific results in the first place, such as by making articles machine-interpretable by expressing them with formal semantics from the start. In the work presented here, we propose a first step in this direction by setting out to demonstrate that we can formally publish high-level scientific claims in formal logic, and publish the results in a special issue of an existing journal. We use the concept and technology of nanopublications for this endeavor, and represent not just the submissions and final papers in this RDF-based format, but also the whole process in between, including reviews, responses, and decisions. We do this by performing a field study with what we call formalization papers, which contribute a novel formalization of a previously published claim. We received 15 submissions from 18 authors, who then went through the whole publication process leading to the publication of their contributions in the special issue. Our evaluation shows the technical and practical feasibility of our approach. The participating authors mostly showed high levels of interest and confidence, and mostly experienced the process as not very difficult, despite the technical nature of the current user interfaces. We believe that these results indicate that it is possible to publish scientific results from different fields with machine-interpretable semantics from the start, which in turn opens countless possibilities to radically improve in the future the effectiveness and efficiency of the scientific endeavor as a whole.

Dataset Information

Publishing scientifically sound papers in Traditional and Complementary Medicine.

Publications

Publishing scientifically sound papers in Traditional and Complementary Medicine.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets