Evidence map›Paper›PMID 36151511›Full record

ArticleBMC bioinformatics2022

Local data commons: the sleeping beauty in the community of data commons.

Jong Cheol Jeong, Isaac Hands, Jill M Kolesar, Mahadev Rao, Bront Davis, York Dobyns, Joseph Hurt-Mueller, Justin Levens, Jenny Gregory, John Williams and 6 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2022. 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
–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

1 citing paper in PubMed.

  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

16 authors.

Jong Cheol JeongDivision of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, USA. JongCheol.Jeong@uky.edu.ORCID http://orcid.org/0000-0002-5024-2927
Isaac HandsCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Lexington, KY, USA.
Jill M KolesarDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Kentucky, Lexington, KY, USA.
Mahadev RaoDepartment of Pharmacy Practice, Center for Translational Research, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Bront DavisCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Lexington, KY, USA.
York DobynsCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Lexington, KY, USA.
Joseph Hurt-MuellerCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Lexington, KY, USA.
Justin LevensCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Lexington, KY, USA.
Jenny GregoryCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Lexington, KY, USA.
John WilliamsCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Lexington, KY, USA.
Lisa WittCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Lexington, KY, USA.
Eun Mi KimDepartment of Computer Science, Eastern Kentucky University, Richmond, KY, USA.
Carlee BurtonCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Lexington, KY, USA.
Amir A ElbihearyCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Lexington, KY, USA.
Mingguang ChangCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Lexington, KY, USA.
Eric B DurbinDivision of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, USA. ericd@kcr.uky.edu.

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers · 2013 to 2026
$38.3M
NCI NIH HHS HHSN261201800013CNCI NIH HHS HHSN261201800013INCI NIH HHS P30 CA177558
6 · The paper itself

Abstract

backgroundPublic Data Commons (PDC) have been highlighted in the scientific literature for their capacity to collect and harmonize big data. On the other hand, local data commons (LDC), located within an institution or organization, have been underrepresented in the scientific literature, even though they are a critical part of research infrastructure. Being closest to the sources of data, LDCs provide the ability to collect and maintain the most up-to-date, high-quality data within an organization, closest to the sources of the data. As a data provider, LDCs have many challenges in both collecting and standardizing data, moreover, as a consumer of PDC, they face problems of data harmonization stemming from the monolithic harmonization pipeline designs commonly adapted by many PDCs. Unfortunately, existing guidelines and resources for building and maintaining data commons exclusively focus on PDC and provide very little information on LDC.

resultsThis article focuses on four important observations. First, there are three different types of LDC service models that are defined based on their roles and requirements. These can be used as guidelines for building new LDC or enhancing the services of existing LDC. Second, the seven core services of LDC are discussed, including cohort identification and facilitation of genomic sequencing, the management of molecular reports and associated infrastructure, quality control, data harmonization, data integration, data sharing, and data access control. Third, instead of commonly developed monolithic systems, we propose a new data sharing method for data harmonization that combines both divide-and-conquer and bottom-up approaches. Finally, an end-to-end LDC implementation is introduced with real-world examples.

conclusionsAlthough LDCs are an optimal place to identify and address data quality issues, they have traditionally been relegated to the role of passive data provider for much larger PDC. Indeed, many LDCs limit their functions to only conducting routine data storage and transmission tasks due to a lack of information on how to design, develop, and improve their services using limited resources. We hope that this work will be the first small step in raising awareness among the LDCs of their expanded utility and to publicize to a wider audience the importance of LDC.

Indexed as

Big DataInformation DisseminationDeveloping CountriesHumansCancer registryClinical dataData harmonizationData integrationData standardizationEnd-to-end modelGenomic dataLocal data commonsPublic data commons

Identifiers

PMID36151511
PMCPMC9502580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.