Therapeutic Areas for Data Standards Development (U01)
Sector: Hospital • Location: United States of America
Source: Grants.gov
Establishing common study data standards will provide new opportunities to transform the vast and continually increasing amount of clinical study data received into useful information to speed the delivery of new therapies to patients. Standardized data elements, terminologies, and data structures enable automation of important analyses of clinical study data to support more efficient and effecti
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Establishing common study data standards will provide new opportunities to transform the vast and continually increasing amount of clinical study data received into useful information to speed the delivery of new therapies to patients. Standardized data elements, terminologies, and data structures enable automation of important analyses of clinical study data to support more efficient and effective regulatory decision-making. In 2011, in response to an urgent need to further standardize study data terminologies and concepts for efficacy analysis, FDA’s Center for Drug Evaluation and Research (CDER) compiled a prioritized list of disease and therapeutic areas (TAs) for which additional data standardization was needed, and made the list available on the FDA website. The primary objective of this funding opportunity is to support projects leading to the development of specifications for TAs which capture how to structure commonly collected data and outcome measurements in disease clinical trials. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
