Evidence map›Paper›PMID 37023011›Full record

ArticlePloS one2023

Implementing QR codes in academia to improve sample tracking, data accessibility, and traceability in multicampus interdisciplinary collaborations.

Cristian Hernandez, Elham Aslankoohi, Pavel Frolikov, Houpu Li, Sri Kurniawan, Marco Rolandi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

6 authors at 1 institution in 1 country.

Cristian HernandezDepartment of Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, Santa Cruz, California, United States of America.
Elham AslankoohiDepartment of Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, Santa Cruz, California, United States of America.
Pavel FrolikovDepartment of Computational Media, Baskin School of Engineering, University of California, Santa Cruz, Santa Cruz, California, United States of America.
Houpu LiDepartment of Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, Santa Cruz, California, United States of America.
Sri KurniawanDepartment of Computational Media, Baskin School of Engineering, University of California, Santa Cruz, Santa Cruz, California, United States of America.
Marco RolandiDepartment of Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, Santa Cruz, California, United States of America.ORCID 0000-0001-7898-2479
University of California, Santa Cruz · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing number of multicampus interdisciplinary projects in academic institutions expedites a necessity for tracking systems that provide instantly accessible data associated with devices, samples, and experimental results to all collaborators involved. This need has become particularly salient with the COVID pandemic when consequent travel restrictions have hampered in person meetings and laboratory visits. Minimizing post-pandemic travel can also help reduce carbon footprint of research activities. Here we developed a Quick Response (QR) code tracking system that integrates project management tools for seamless communication and tracking of materials and devices between multicampus collaborators: one school of medicine, two engineering laboratories, three manufacturing cleanroom sites, and three research laboratories. Here we aimed to use this system to track the design, fabrication, and quality control of bioelectronic devices, in vitro experimental results, and in vivo testing. Incorporating the tracking system into our project helped our multicampus teams accomplish milestones on a tight timeline via improved data traceability, manufacturing efficiency, and shared experimental results. This tracking system is particularly useful to track device issues and ensure engineering device consistency when working with expensive biological samples in vitro and animals in vivo to reduce waste of biological and animal resources associated with device failure.

Indexed as

COVID-19AnimalsQuality Control

Identifiers

PMID37023011
PMCPMC10079063
OpenAlexW4362657889

What OpenQuestion holds

Textmetadata
LicenceCC0
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.