The Pacific Innovations, Knowledge, and Opportunities (PIKO) Program: A Data Lifecycle Research Experience.

Rylan Chong, Laura Tipton

Abstract read

In one paragraph

Article in Hawai'i journal of health & social welfare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Rylan ChongSchool of Natural Sciences and Mathematics, Department of Data Science, Analytics and Visualization, Chaminade University of Honolulu, Honolulu, HI.

Laura TiptonSchool of Natural Sciences and Mathematics, Department of Data Science, Analytics and Visualization, Chaminade University of Honolulu, Honolulu, HI.

Funding

Tracking and Evaluation CoreU54GM138062 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI KAHOLOKULA, JOSEPH KEAWE'AIMOKU · 2021 to 2025

$15.5M

NIGMS NIH HHS U54 GM138062

6 · The paper itself

Abstract

Pacific evidence-based clinical and translational research is greatly needed. However, there are research challenges that stem from the creation, accessibility, availability, usability, and compliance of data in the Pacific. As a result, there is a growing demand for a complementary approach to the traditional Western research process in clinical and translational research. The data lifecycle is one such approach with a history of use in various other disciplines. It was designed as a data management tool with a set of activities that guide researchers and organizations on the creation, management, usage, and distribution of data. This manuscript describes the data lifecycle and its use by the Biostatistics, Epidemiology, and Research Design core data science team in support of the Center for Pacific Innovations, Knowledge, and Opportunities program.

Indexed as

Biomedical ResearchNative Hawaiian or Pacific IslanderBiostatisticsData ManagementHumansTranslational Research, Biomedicalclinicaldata lifecycledata scienceevidence-basedFilipino healthhealthNative Hawaiian healthPacific Islander healthPIKOtranslational

Identifiers

PMID37901670

PMCPMC10612409

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.