Evidence map›Paper›PMID 35544299›Full record

ArticleJournal of medical Internet research2022

Improving Research Patient Data Repositories From a Health Data Industry Viewpoint.

Chunlei Tang, Jing Ma, Li Zhou, Joseph Plasek, Yuqing He, Yun Xiong, Yangyong Zhu, Yajun Huang, David Bates

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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

9 authors.

Chunlei Tang *Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-6460-0246
Jing Ma *Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Sichuan, China.ORCID 0000-0002-9132-0741
Li ZhouBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.ORCID 0000-0003-3874-4833
Joseph PlasekBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-9686-3876
Yuqing HeSchool of Economics, Fudan University, Shanghai, China.ORCID 0000-0002-9335-3782
Yun XiongSchool of Computer Science, Fudan University, Shanghai, China.ORCID 0000-0002-8575-5415
Yangyong ZhuSchool of Computer Science, Fudan University, Shanghai, China.ORCID 0000-0002-6258-0747
Yajun HuangSchool of Economics, Fudan University, Shanghai, China.ORCID 0000-0002-0508-3074
David BatesBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-6268-1540

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organizational, administrative, and educational challenges in establishing and sustaining biomedical data science infrastructures lead to the inefficient use of Research Patient Data Repositories (RPDRs). The challenges, including but not limited to deployment, sustainability, cost optimization, collaboration, governance, security, rapid response, reliability, stability, scalability, and convenience, restrict each other and may not be naturally alleviated through traditional hardware upgrades or protocol enhancements. This article attempts to borrow data science thinking and practices in the business realm, which we call the data industry viewpoint, to improve RPDRs.

Indexed as

Databases as TopicHumansbig datadata miningdata sciencedata warehousinginformation storage and retrieval

Identifiers

PMID35544299
PMCPMC9133984

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.