) This applicant undertakes to deliver and maintain the Cancer Genetics Network (CGN) information resource database (i.e., objective 3 as specified in the RFA). The sub-objectives include: 1. Centralized data management, and ready access of the data to authorized users. 2. Quality assurance of the contents of the database. 3. Tracking of biospecimens such as tissue samples, as part of an inventory management system. This proposal does not address the tasks of subject recruitment coordination, primary collection of information, study design and statistical analysis, all of which are part of objective 3. The investigators will provide informatics support to other ITG investigators who are funded to carry out these tasks as and when needed. Creation of the database will involve integration and porting from other Internet-accessible, client-server systems that the investigators have previously built to address the management of clinical data, gene characterization data and biospecimen inventory. The database will be accessible over the World-Wide through a standard browser. The advantages of a Web solution include lower distribution costs, simplified setup and maintenance, and end-user hardware platform independence. The database will incorporate security measures to limit unauthorized access, and restrict viewing and editing of data from individual studies only to the users who are appropriately authorized. Input of data into the system will come primarily through periodic bulk import of data that is maintained locally at individual nodes in the CGN. Informatics assistance will be provided to the individual nodes to assist the task of data exchange, and when necessary, to assist the design of local data collection systems.
| Dinu, Valentin; Nadkarni, Prakash (2007) Guidelines for the effective use of entity-attribute-value modeling for biomedical databases. Int J Med Inform 76:769-79 |
| Brandt, Cynthia A; Argraves, Stephanie; Money, Roy et al. (2006) Informatics tools to improve clinical research study implementation. Contemp Clin Trials 27:112-22 |
| Dinu, Valentin; Nadkarni, Prakash; Brandt, Cynthia (2006) Pivoting approaches for bulk extraction of Entity-Attribute-Value data. Comput Methods Programs Biomed 82:38-43 |
| Nadkarni, P M; Brandt, C A (2006) The Common Data Elements for cancer research: remarks on functions and structure. Methods Inf Med 45:594-601 |
| Deshpande, Aniruddha M; Shiffman, Richard N; Nadkarni, Prakash M (2005) Metadata-driven Delphi rating on the Internet. Comput Methods Programs Biomed 77:49-56 |
| Brandt, Cynthia A; Gadagkar, Rohit; Rodriguez, Cesar et al. (2004) Managing complex change in clinical study metadata. J Am Med Inform Assoc 11:380-91 |
| Brandt, C A; Sun, K; Charpentier, P et al. (2004) Integration of Web-based and PC-based clinical research databases. Methods Inf Med 43:287-95 |
| Brandt, C A; Cohen, D B; Shifman, M A et al. (2004) Approaches and informatics tools to assist in the integration of similar clinical research questionnaires. Methods Inf Med 43:156-62 |
| Nadkarni, P M (2003) The challenges of recording phenotype in a generalizable and computable form. Pharmacogenomics J 3:8-10 |
| Deshpande, Aniruddha M; Brandt, Cynthia; Nadkarni, Prakash M (2003) Temporal query of attribute-value patient data: utilizing the constraints of clinical studies. Int J Med Inform 70:59-77 |
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