[Modern epidemiological research is collaborative and data intensive. Sophisticated data collection, storage and quality control techniques are available and capable of greatly enhancing the efficiency and scientific precision of such projects. However, advanced expertise in utilizing these resources does not typically fall within the skill set of the individual investigator. As a result, hiring proficient personnel and centralizing the data management resources and making them available to a set of investigators with similar needs achieves great benefits and efficiencies. In addition, when the programmers and data managers are involved in work in a specialized area for a period of time, they gain unique familiarity with the methods and needs of the investigators. The data management core collaborates with Drs. Graziano, Ahsan and Gamble, as well with the Trace Metals Laboratory Core, the Biogeochemistry Laboratory Core and junior investigators on a regular basis. Standard operating procedures for data entry, storage and quality control have been developed;validation routines are regularly programmed for systems causing data cleaning efforts to become less cumbersome and more streamlined. Ultimately the process of creating required datasets for analyses has been greatly expedited. The core communicates directly with project statisticians thereby gaining a clear understanding of specific dataset requirements for each project. Data quality has been greatly enhanced and the time to completion from the beginning of the data entry process through to the submission of transcripts has been substantially reduced. A variety of program modules, database templates and a network infrastructure have been developed and are immediately available to be incorporated into solutions to address the specific aims of this proposal.

Public Health Relevance

The programming capabilities of this core allow for creative solutions to issues that arise and may be unique to projects. The core'data management is based on utilizing the relational database structure to store data on a safe, secure network. Based on this premise that data are stored in a relational database, the core has implemented, and will continue to implement, innovative solutions for the SRP.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Hazardous Substances Basic Research Grants Program (NIEHS) (P42)
Project #
5P42ES010349-12
Application #
8461590
Study Section
Special Emphasis Panel (ZES1-JAB-J)
Project Start
Project End
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
12
Fiscal Year
2013
Total Cost
$129,709
Indirect Cost
$51,945
Name
Columbia University (N.Y.)
Department
Type
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Sun, Jing; Mailloux, Brian J; Chillrud, Steven N et al. (2018) Simultaneously Quantifying Ferrihydrite and Goethite in Natural Sediments Using the Method of Standard Additions with X-ray Absorption Spectroscopy. Chem Geol 476:248-259
Argos, Maria; Tong, Lin; Roy, Shantanu et al. (2018) Screening for gene-environment (G×E) interaction using omics data from exposed individuals: an application to gene-arsenic interaction. Mamm Genome 29:101-111
Wu, Fen; Chi, Liang; Ru, Hongyu et al. (2018) Arsenic Exposure from Drinking Water and Urinary Metabolomics: Associations and Long-Term Reproducibility in Bangladesh Adults. Environ Health Perspect 126:017005
Sanchez, Tiffany R; Powers, Martha; Perzanowski, Matthew et al. (2018) A Meta-analysis of Arsenic Exposure and Lung Function: Is There Evidence of Restrictive or Obstructive Lung Disease? Curr Environ Health Rep 5:244-254
Farzan, Shohreh F; Howe, Caitlin G; Chen, Yu et al. (2018) Prenatal lead exposure and elevated blood pressure in children. Environ Int 121:1289-1296
Sanchez, Tiffany R; Slavkovich, Vesna; LoIacono, Nancy et al. (2018) Urinary metals and metal mixtures in Bangladesh: Exploring environmental sources in the Health Effects of Arsenic Longitudinal Study (HEALS). Environ Int 121:852-860
Spratlen, Miranda J; Grau-Perez, Maria; Umans, Jason G et al. (2018) Arsenic, one carbon metabolism and diabetes-related outcomes in the Strong Heart Family Study. Environ Int 121:728-740
Balakrishnan, Poojitha; Navas-Acien, Ana; Haack, Karin et al. (2018) Arsenic-gene interactions and beta-cell function in the Strong Heart Family Study. Toxicol Appl Pharmacol 348:123-129
Oliver-Williams, Clare; Howard, Annie Green; Navas-Acien, Ana et al. (2018) Cadmium body burden, hypertension, and changes in blood pressure over time: results from a prospective cohort study in American Indians. J Am Soc Hypertens 12:426-437.e9
Jones, Miranda R; Tellez-Plaza, Maria; Vaidya, Dhananjay et al. (2018) Ethnic, geographic and dietary differences in arsenic exposure in the multi-ethnic study of atherosclerosis (MESA). J Expo Sci Environ Epidemiol :

Showing the most recent 10 out of 333 publications