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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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The Back Pain Consortium (BACPAC) Research Program Data Harmonization: Rationale for Data Elements and Standards.

Anna Batorsky1, Anton E Bowden2, Jessa Darwin3

  • 1Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

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Summary
This summary is machine-generated.

The Back Pain Consortium (BACPAC) developed data standards and a portal to integrate chronic low back pain research. This harmonization facilitates consortium-wide analysis and creates a model for future research collaborations.

Keywords:
common data elementsdata integrationdata standardsharmonizationlow back pain

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Area of Science:

  • Biomedical Informatics
  • Musculoskeletal Research
  • Data Science

Background:

  • Chronic low back pain research involves multiple, decentralized programs.
  • Integrating diverse data from these programs is challenging.
  • A unified approach is needed to develop comprehensive models of chronic low back pain.

Purpose of the Study:

  • To develop an integrated model of chronic low back pain (CLBP).
  • To describe efforts in data harmonization and accessibility for consortium-wide analyses.
  • To establish standards for data collection and integration across research programs.

Main Methods:

  • Established consortium-wide working groups for harmonized data elements and standards.
  • Developed the BACPAC Data Portal for research collaboration and data sharing.
  • Created a modified data standard based on CDISC Study Data Tabulation Model for data integration.

Main Results:

  • Harmonized data elements and standards were established for tabular and non-tabular data (imaging, omics).
  • The BACPAC Minimum Dataset and domain-specific measures were defined.
  • A secure, cloud-based data portal was developed for data repository and analysis.

Conclusions:

  • BACPAC's harmonization efforts and data standards provide an innovative model for data integration.
  • This framework can be adopted by other consortia with multiple, decentralized research programs.
  • Facilitates comprehensive analysis of chronic low back pain data.