New pharmacy-specific Medical Subject Headings included in the 2017 database

Fernández-Llimós, Fernando; Minguet, Fernando; Salgado, Teresa M.

doi:10.2146/ajhp170046

Cited by 8 publications

(3 citation statements)

References 2 publications

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“…The NLM includes a process to consider user suggestions for MeSH terms, which are reviewed by NLM staff for need, usefulness, and understandability[ 20 ]. In other areas NLM has been responsive, creating new MeSH terms when gaps have been identified [ 21 , 22 ]. Similarly, as MEDLINE has expanded to incorporate an increasing number of indexed public health, life and physical sciences journals, MeSH has expanded its scope accordingly to incorporate the new controlled vocabularies associated with these fields [ 23 ].…”

Section: The Need For a Specific Meta-research Mesh Termmentioning

confidence: 99%

Recognizing the value of meta-research and making it easier to find

Stevens,

Laynor

2023

jmla

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Meta-research is a bourgeoning field studying topics with significant relevance to health sciences librarianship, such as research reproducibility, peer review, and open access. As a discipline that studies research itself and the practices of researchers, meta-research spans disciplines and encompasses a broad spectrum of topics and methods. The breadth of meta-research presents a significant challenge for identifying published meta-research studies. Introducing a subject heading for meta-research in the controlled vocabularies of literature databases has the potential to increase the visibility of meta-research, further advance the field, and expand its impact on research practices. Given the relatively recent designation of meta-research as a field and its expanding use as a term, now is the time to develop appropriate indexing vocabulary. We seek to call attention to the value of meta-research for health sciences librarianship, describe the challenges of identifying meta-research literature with currently available key terms, and highlight the need to establish controlled vocabulary specific to meta-research.

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Section: The Need For a Specific Meta-research Mesh Termmentioning

confidence: 99%

Recognizing the value of meta-research and making it easier to find

Stevens,

Laynor

2023

jmla

View full text Add to dashboard Cite

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“…from the words in the title; this could improve the relevance of the paper when it is searched in databases of literature. Some of these databases even offer supporting information in form of controlled vocabulary (National Library of Medicine's -USA, Medical Subject Headings -MeSH) (Fernandez-Llimos et al 2017).…”

Section: Substantial Contribution To Research Design [Or] Analysis and Interpretation Of Data 2 [And] Writing [Or] Critical Revision Of Mmentioning

confidence: 99%

Scientific writing and publishing with IMRaD

Teodosiu

2019

Ann. For. Res.

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The current trend of grading scientists depending on the amount and quality of scientific papers led to a pressure in publishing, which now tends to be reduced by opting for high-quality publications. Experimental research, the largest part of scientific research, is by far best presented in research articles -abbreviated IMRaD -a form of presentation developed in the last 100 years and now almost standardized. Even though writing seems simple to ever scientist, its rules can be learned by practice. It is of utmost importance that a well conducted science is presented in a properly written manuscript, as there are cases when one was delayed in publication due to a bad scientific writing. As with any other type of research papers, IMRaD also requires good knowledge when its main parts are concerned, in structuring its different sections, in using the most suitable language, in conducting the final improvements before submitting to a journal, or in interacting with other scientists during the peer-review process. Authors can follow the basic rules suggested in this paper and have to pay attention to the ethics of scientific writing throughout the development of their manuscript. The final reward, the publication, will be the accompanied by the reader satisfaction, the number of citations and, if it is the case, the mentoring of a young colleague in writing research.

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“…Additionally, RGD's custom terms are not fully mapped to other disease vocabularies. Also, the structure of MeSH, inherent in the RDO vocabulary, does not support computational reasoning across the vocabulary ( Fernandez-Llimos et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Augmenting the disease ontology improves and unifies disease annotations across species

Bello

Shimoyama

Mitraka

et al. 2018

Disease Models &Amp; Mechanisms

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Model organisms are vital to uncovering the mechanisms of human disease and developing new therapeutic tools. Researchers collecting and integrating relevant model organism and/or human data often apply disparate terminologies (vocabularies and ontologies), making comparisons and inferences difficult. A unified disease ontology is required that connects data annotated using diverse disease terminologies, and in which the terminology relationships are continuously maintained. The Mouse Genome Database (MGD, http://www.informatics.jax.org), Rat Genome Database (RGD, http://rgd.mcw.edu) and Disease Ontology (DO, http://www.disease-ontology.org) projects are collaborating to augment DO, aligning and incorporating disease terms used by MGD and RGD, and improving DO as a tool for unifying disease annotations across species. Coordinated assessment of MGD's and RGD's disease term annotations identified new terms that enhance DO's representation of human diseases. Expansion of DO term content and cross-references to clinical vocabularies (e.g. OMIM, ORDO, MeSH) has enriched the DO's domain coverage and utility for annotating many types of data generated from experimental and clinical investigations. The extension of anatomy-based DO classification structure of disease improves accessibility of terms and facilitates application of DO for computational research. A consistent representation of disease associations across data types from cellular to whole organism, generated from clinical and model organism studies, will promote the integration, mining and comparative analysis of these data. The coordinated enrichment of the DO and adoption of DO by MGD and RGD demonstrates DO's usability across human data, MGD, RGD and the rest of the model organism database community.

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New pharmacy-specific Medical Subject Headings included in the 2017 database

Cited by 8 publications

References 2 publications

Recognizing the value of meta-research and making it easier to find

Recognizing the value of meta-research and making it easier to find

Scientific writing and publishing with IMRaD

Augmenting the disease ontology improves and unifies disease annotations across species

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