Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Mapping XML documents into databases: a Data-Driven Framework for bioinformatic data interchange.

K Canfield1, J Sorace

  • 1Laboratory for Healthcare Informatics, Department of Information Systems, University of Maryland, UMBC, USA.

Proceedings. AMIA Symposium
|November 18, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Metabolic Regulation of Apoptosis in Cancer.

International review of cell and molecular biology·2016
Same author

Can the US minimum data set be used for predicting admissions to acute care facilities?

Studies in health technology and informatics·1999
Same author

Improving interorganizational data interchange for drug development.

Computers in biology and medicine·1999
Same author

Collaborative bioinformatics: data warehouses for targeted experimental results.

Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research·1998
Same author

A case study of the evolving software architecture for the FDA generic drug application process.

Journal of the American Medical Informatics Association : JAMIA·1998
Same author

Functional bioinformatics: the cellular response database.

Frontiers in bioscience : a journal and virtual library·1997
Same journal

Progressive display of very high resolution images using wavelets.

Proceedings. AMIA Symposium·2002
Same journal

The Chronus II temporal database mediator.

Proceedings. AMIA Symposium·2002
Same journal

Gene expression levels in different stages of progression in oral squamous cell carcinoma.

Proceedings. AMIA Symposium·2002
Same journal

An assessment of the visibility of MeSH-indexed medical web catalogs through search engines.

Proceedings. AMIA Symposium·2002
Same journal

Filtering for medical news items using a machine learning approach.

Proceedings. AMIA Symposium·2002
Same journal

Enriching the structure of the UMLS semantic network.

Proceedings. AMIA Symposium·2002
See all related articles

The Data-Driven Framework (DDF) streamlines healthcare data exchange by using a standard XML Document Type Definition (DTD). This approach reduces software costs and improves data representation for applications like cell assay reporting.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Health Informatics

Background:

  • Healthcare Electronic Data Interchange (EDI) faces challenges with data format standardization and high software development costs.
  • Existing data formats can be rigid, leading to increased complexity and expenses in software development and maintenance.
  • Efficient data exchange is crucial for research, particularly in areas like gene expression and regulation.

Purpose of the Study:

  • To introduce a Data-Driven Framework (DDF) to address limitations in healthcare EDI.
  • To demonstrate how a standard XML Document Type Definition (DTD) can simplify data representation and reduce software costs.
  • To apply the DDF in a case study for reporting cell assay data.

Main Methods:

  • Development of a Data-Driven Framework (DDF) utilizing a standard XML Document Type Definition (DTD).

Related Experiment Videos

  • Leveraging industry-standard tools compatible with XML DTD for data representation and software generation.
  • Implementing the DDF for the specific application of reporting cell assay results.

    • Main Results:

    • The DDF enables robust data representation applicable across various domains.
    • Significant reduction in software development and maintenance costs is achieved as tools are generated directly from the DTD.
    • The DDF facilitates dynamic updates; changes in the DTD allow for regeneration of tools.
    • Successful application in a case study for cell assay data reporting.

    Conclusions:

    • The Data-Driven Framework (DDF) offers a viable solution for improving healthcare EDI by standardizing data formats.
    • The use of XML DTD within the DDF significantly lowers software development and maintenance expenditures.
    • The framework's adaptability and cost-efficiency make it suitable for diverse applications, including biological research and gene expression studies.