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Automated Indexing for Publication Types and Study Designs

Award Number: R01LM014292
ORGANIZATION: NATIONAL LIBRARY OF MEDICINE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 08/02/2023
PERIOD OF PERFORMANCE END DATE: 07/31/2026

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Automated Indexing for Publication Types and Study Designs - Project Summary/Abstract Retrieving biomedical articles from bibliographic databases requires accurate, detailed indexing of the topics that are discussed as well as their publication types and study designs. It is difficult for indexers to keep up with manual assignments in view of the explosion of published literature. Although NLM has recently employed automatic machine learning methods to index articles according to the major topics discussed, there is still no automatic means of indexing each article across all publication types and study designs. We have recently created a working prototype tool, Multi-Tagger, which has assigned probabilistic predictive scores for all PubMed articles for 50 different publication types and study designs (collectively, PTs). We now propose to develop Multi-Tagger 2.0, to handle a wider variety of study designs, articles, users and use cases, and to ensure that the data are disseminated in a form that is appropriate to each different type of user. Specifically, we aim to: Aim 1. Optimize methods for assigning Publication Types and study designs to both PubMed and non- PubMed biomedical articles, preprints and manuscripts. Aim 2. Evaluate PTs in detail, taking into account model performance, use cases and users. Aim 3. Optimize dissemination of PT predictive scores by query interface and API. Aim 4. Explore how to integrate Multi-Tagger with other tools for automating evidence synthesis. The proposed studies will greatly enhance retrieval of relevant articles and preprints across multiple databases, and will be useful for a wide range of biomedical end-users (clinicians, researchers, students and journal editors) as well as user groups including systematic review groups, bibliographic database managers, those studying preclinical animal models of human disease, and pharmaceutical companies developing new drug treatments. Improving the infrastructure of the biomedical literature will thus indirectly impact on human health.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $304,022 )
2025	2025	UNIVERSITY OF ILLINOIS	809 S MARSHFIELD AVE M/C 551	CHICAGO	IL	60612	COOK	USA	Medical Library Assistance	000	3	8/1/2025	NON-COMPETING CONTINUATION	$304,022
														Subtotal = $304,022

Issue Date FY: 2024 ( Subtotal = $322,210 )
2024	2024	UNIVERSITY OF ILLINOIS	809 S MARSHFIELD AVE M/C 551	CHICAGO	IL	60612	COOK	USA	Medical Library Assistance	000	2	7/29/2024	NON-COMPETING CONTINUATION	$322,210
														Subtotal = $322,210

Issue Date FY: 2023 ( Subtotal = $321,693 )
2023	2023	UNIVERSITY OF ILLINOIS	809 S MARSHFIELD AVE M/C 551	CHICAGO	IL	60612	COOK	USA	Medical Library Assistance	000	1	8/2/2023	NEW	$321,693
														Subtotal = $321,693

Grand Total All Awards = $947,925

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Automated Indexing for Publication Types and Study Designs

Award Number: R01LM014292

ORGANIZATION: NATIONAL LIBRARY OF MEDICINE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 08/02/2023

PERIOD OF PERFORMANCE END DATE: 07/31/2026

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