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Learn how Digital Health Learning & Clinical Effectiveness Research Collaboratives support scientific review and journal selection at NLM. Gain insights into the minimum application requirements and review considerations for MEDLINE and PMC journals.
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Digital Health Learning & Clinical Effectiveness Research Collaboratives Joyce Backus Associate Director, Library Operations Scientific Review Officer, Literature Selection Technical Review Committee (LSTRC)
STEP 3 Review by Collections staff to ensure journal is in scope for NLM STEP 1 Journal submits application STEP 2 Initial application screening STEP 5 NLM staff reviews recommendation of committee STEP 4 Journal review by external committee / consultants STEP 6 NLM decision sent to journal
Literature Selection Technical Review Committee (LSTRC) Est. 1987 NIH Federal Advisory Committee that reviews and recommends journals for MEDLINE Meets three times a year: February, June, and October Approximately 160 journals are examined at each meeting. Recommendation made to the Director of the National Library of Medicine https://www.nlm.nih.gov/lstrccommittee/lstrc.html
MEDLINE Review Considerations 15% Acceptance Rate Primary consideration • Scientific quality and significance of content • Validity • Originality • Importance • Contribution to field Other considerations • Editorial quality of content • Production quality • Journal policies and practices
PMC Journal Review Group Est. 2014 • Two consultants review each journal, usually one scientist (i.e., Ph.D.- or M.D.-level researchers and physicians) and one medical librarians • Rolling application and review process • Review process generally takes 12-weeks from application until decision • Decision to archive in PMC made by NLM Collection Development Officer https://www.ncbi.nlm.nih.gov/pmc/pub/addjournal/
PMC Review Considerations 30% Acceptance Rate https://test.ncbi.nlm.nih.gov/pmc/pub/journalselect/ Primary consideration Scientific rigor / quality of article full-text • Clearly stated aims • Transparency in reporting results • Robust enough to support reproducibility • Conclusions supported by the data Other considerations • Editorial quality of content • Production quality • Journal policies and practices