1 / 10

Data Management for Health Sciences Research

Data Management for Health Sciences Research. Now More than Ever-- SIR is the Best Option Howard Andrews Data Coordinating Center Columbia University School of Public Health New York State Psychiatric Institute. SIR: Traditional Advantages 1. Facilitating Structural Integrity of Data.

tejana
Download Presentation

Data Management for Health Sciences Research

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Data Management forHealth Sciences Research Now More than Ever-- SIR is the Best Option Howard Andrews Data Coordinating Center Columbia University School of Public Health New York State Psychiatric Institute

  2. SIR:Traditional Advantages1. Facilitating Structural Integrity of Data • Case-structured SIR database option • Appropriate for virtually every health research project because person (or family) is the ‘case’ • Each record in each table must be ‘owned’ by a case • ‘No New Cases’ option on data entry screens • In conjunction with case-structured option, can be used to enforce registration requirements • Eliminates ‘orphan’ records • Sir Tables offer easy access to information that is not case-structured

  3. SIR:Traditional Advantages2. Enhanced Variable Attributes • Variable labels • No less valuable with 8+ character variable names • Value labels • Still a significant lack in all major relational data management software systems other than SIR • Missing value assignment (up to 3 per variable) • Reduces analytic error & effort by statisticians • All variable attributes are directly associated with each variable, both in database creation & output • WRITE SCHEMA generates a ‘codebook’ containing all information required by investigators & statisticians

  4. SIR:Traditional Advantages3. Interface with Statistics Packages • Procedural Query Language (PQL) facilitates: • extraction of database variables • creation of new variables • structuring of information • SPSS, SAS, Stata files generated by a single command • All variable attributes recognized by the stat package are ported seamlessly by SIR • Eliminates need to rebuild variable labels, value labels and missing value assignments in the stat package • Ensures that statistical system files are self-documenting

  5. Policy shifts in medical research • Increased scrutiny of database management plans • Proposals without adequate DBM plans are rejected • Funding of multi-site projects and research centers • Individual projects (R01’s) benefit by center association • Emphasis on cost, efficiency, productivity • Emphasis on professional, ‘dedicated’ DBM staff • A need now widely recognized in the research community • Databases often serve project management as well as data management functions,e.g., scheduling of followup examinations • Greatly increased regulatory oversight of data • HIPAA Regulations / IRBs / DSMBs / PSMBs/Data Sharing

  6. Technology Shifts – Internet, Mobility Factors • Internet facilitates geographically dispersed data entry and access • Puts a premium on data security • Reinforces reliance on trained professionals and continuity of effort • Requires close cooperation between IT and data management experts • Multiuser update, ODBC, PDA update, citrix, replication

  7. Trends in the Management of Research Data • Data coordinating centers are emerging & growing • institutional and private sector • Shift from DBM by researcher to external center puts a premium on efficiency & a focus on cost • Use of sophisticated data management software is becoming the rule rather than the exception • Increasing demand for building systems in which input & output is under end-user control • data entry by research staff rather than data center staff • direct access to data by investigators and statisticians

  8. SIRis well positioned to take advantage of these trends • SIR research database management systems with user-friendly entry and data access interfaces can be set up quickly and efficiently • Traditional SIR advantages for research are enhanced in a competitive situation • SIR increases productivity of individual researchers • Data coordinating centers using SIR can run more efficiently and attract more research ‘clients’ • Procedural language • Seamless stats package interfaces • Total management solution • Consistent Upgrade Path (22 years worth)

  9. An Application - Heartbase Regulated by: • American College of Cardiology • Society of Thoracic Surgeons • Anthem • Oryx (JCAHO) • CCORP • Get with the Guidelines • Leapfrog

  10. Another - Metropolitan New York Registry (MNYR)of Breast and Ovarian Cancer Families • Funded by the National Cancer Institute at the Mailman School of Public Health, Columbia Uni. • Largest family breast cancer database in the world. • Participates in the Cooperative Family Registry of Breast & Colon Cancer • 12 Sites (6 Breast, 6 Colon) • International (USA, Canada, Australia) • Data from all sites merged in the central CFR registry • Family History Info about many People & Families • Questionnaire Data • Bio-specimen Samples and Associated Data • Genetic Test Results • Detailed Pathology Information on Tumor Specimens

More Related