Evidence map›Paper›PMID 17712081›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Data standards in clinical research: gaps, overlaps, challenges and future directions.

Rachel L Richesson, Jeffrey Krischer

Erratum issuedAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Recommendations for Standardizing Nuclear Medicine Terminology and Data in the Era of Theranostics and Artificial Intelligence.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  6. Supporting rapid innovation in research data capture and management: the REDCap external module framework.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
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  12. Review
  13. Article
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  18. Article
  19. Article
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors.

Rachel L RichessonDepartment of Pediatrics, College of Medicine, University of South Florida, 3650 Spectrum Blvd., Tampa, FL, USA. richesrl@epi.usf.edu
Jeffrey Krischer

Funding

RARE DISEASES DATA AND TECHNOLOGY COORDINATING CENTERU54RR019259 · NCRR · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2003 to 2008
$14.4M
NCRR NIH HHS RR 019259NCRR NIH HHS U54 RR019259
6 · The paper itself

Abstract

Current efforts to define and implement health data standards are driven by issues related to the quality, cost and continuity of care, patient safety concerns, and desires to speed clinical research findings to the bedside. The President's goal for national adoption of electronic medical records in the next decade, coupled with the current emphasis on translational research, underscore the urgent need for data standards in clinical research. This paper reviews the motivations and requirements for standardized clinical research data, and the current state of standards development and adoption--including gaps and overlaps--in relevant areas. Unresolved issues and informatics challenges related to the adoption of clinical research data and terminology standards are mentioned, as are the collaborations and activities the authors perceive as most likely to address them.

Indexed as

Vocabulary, ControlledBiomedical ResearchMedical InformaticsMedical Records Systems, ComputerizedQuality ControlReference Standards

Identifiers

PMID17712081
PMCPMC2213488

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.