Superfund Research Program

Data Management Core

Project Leader: Richard Buchsbaum
Grant Number: P42ES010349
Funding Period: 2006-2017

Project-Specific Links

Final Progress Reports

Year:   2016  2010 

1. A Cohort Study of Health Effects of Arsenic Exposure in Bangladesh (http://tools.niehs.nih.gov/srp/programs/Program_detail.cfm?Project_ID=P42ES103490003) (PI: Habibul Ahsan)
   1. Customized data-entry system in Bangladesh was used to complete two phases of data entry for HEALS:
      1. Follow-up 3 for 11,540 original participants
      2. Follow-up 1 for 8,267 new participants (ACE)
      Periodically, all data were automatically transferred to Columbia University's SQL database in New York.
   2. New data-entry screens were programmed to duplicate the follow-up 4 questionnaires to be administered to HEALS participants. The system has been tested by New York staff and will be installed for testing in Dhaka.
   3. Data sets have been provided to project investigators, as requested.
2. Consequences of Arsenic and Manganese Exposure on Childhood Intelligence (http://tools.niehs.nih.gov/srp/programs/Program_detail.cfm?Project_ID=P42ES103490004) (PI Joseph Graziano)
   1. New Hampshire/Maine
      1. Data for 256 children were entered. Data entry included a demographic/well questionnaire, Wechsler Intelligence Scale for Children (WISC) and Wechsler Abbreviated Scale of Intelligence (WASI) tests, and a home-assessment questionnaire.
      2. Data sets are being assembled for interim analysis.
   2. Bangladesh
      1. Scoring for manual dexterity testing was completed.
      2. Datasets were updated and distributed for analysis.
3. One-Carbon Metabolism, Oxidative Stress and Arsenic Toxicity in Bangladesh (http://tools.niehs.nih.gov/srp/programs/Program_detail.cfm?Project_ID=P42ES103490101) (PI: Mary Gamble)
   1. Periodic uploads of laboratory data to Microsoft SQL Server database. The following data have been added: plasma folate, B12, homocysteine, cysteine, Cystatin C; leukocyte DNA methylation; urinary 8-OHdG (8-hydroxydeoxyguanosine); serum retinol and carotenoids (including leutein/zeaxanthin (one variable); beta-cryptoxanthin, lycopene, alpha-carotene, and beta-carotene) serum tocopherol, arsenic (total and metabolites for both blood and urine), glutathione, glutathione disulfide, cysteine, cystine, global DNA methylation by [3H]-methyl incorporation assay, global DNA methylation by pyrosequencing (LUMA, Line-1, and Alu), plasma malondialdehyde. Protein carbonyl, s-adehosylmethionine (SAM) and s-adenosylhomocysteine (SAH) data will be added very soon.
   2. Data sets have been distributed to PI and biostatistician for analyses.
   3. Collectively, data from Dr. Graziano's research and ancillary studies have resulted in 20 publications (including 13 published and 7 in preparation).
4. Additional Efforts
   1. Health Education of School Children in Bangladesh:
      1. Consultation with PI for follow-up questionnaire
      2. Database programming and dataset creation will follow.
      3. Datasets were created for analyses.
   2. Community Participation Database
      1. Consultations continued with PI regarding questionnaire design, workflow, and database
      2. Additional modules programmed:
         1. Individual screening
         2. Baseline questionnaire
         3. Follow-up questionnaire
      3. Ten percent of questionnaires checked by staff for determination of data-entry error rates
   3. Neurological Outcomes/Tremor Study (PI: Elan Louis)
      1. Loaded neurological outcomes database into Arsenic project database
      2. Created process for entering spiral test results; results loaded in SQL database.
      3. Datasets distributed to PI and Xinhua Lui for analysis
   4. Created/taught data-management workshop for NIEHS and Superfund investigators, staff, and students.
   5. Continued support for undergraduate and graduate students working with PIs on Arsenic-related projects.
   6. Continued maintenance of secure database and web servers. Projects detailed above are direct beneficiaries of these services.
   7. Management of data flow continues using the Issue Tracking System and the Query Tracking Systems.
   8. Attending weekly project team meetings to provide data-management consultation as projects move forward