WONDER online databases include county-level Compressed Mortality (death certificates) since 1979; county-level Multiple Cause of Death (death certificates) since 1999; county-level Natality (birth certificates) since 1995; county-level Linked Birth / Death records (linked birth-death certificates) since 1995; state & large metro-level United States Cancer Statistics mortality (death certificates) since 1999; state & large metro-level United States Cancer Statistics incidence (cancer registry cases) since 1999; state and metro-level Online Tuberculosis Information System (TB case reports) since 1993; state-level Sexually Transmitted Disease Morbidity (case reports) since 1984; state-level Vaccine Adverse Event Reporting system (adverse reaction case reports) since 1990; county-level population estimates since 1970. The WONDER web server also hosts the Data2010 system with state-level data for compliance with Healthy People 2010 goals since 1998; the National Notifiable Disease Surveillance System weekly provisional case reports since 1996; the 122 Cities Mortality Reporting System weekly death reports since 1996; the Prevention Guidelines database (book in electronic format) published 1998; the Scientific Data Archives (public use data sets and documentation); and links to other online data sources on the "Topics" page.

Note: Reporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated.

Authorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Kentucky (1/1/24), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.

This case surveillance publicly available dataset has 33 elements for all COVID-19 cases shared with CDC and includes demographics, geography (county and state of residence), any exposure history, disease severity indicators and outcomes, and presence of any underlying medical conditions and risk behaviors. This dataset requires a registration process and a data use agreement.

CDC has three COVID-19 case surveillance datasets:

• COVID-19 Case Surveillance Public Use Data with Geography: Public use, patient-level dataset with clinical data (including symptoms), demographics, and county and state of residence. (19 data elements)
• COVID-19 Case Surveillance Public Use Data: Public use, patient-level dataset with clinical and symptom data and demographics, with no geographic data. (12 data elements)
• COVID-19 Case Surveillance Restricted Access Detailed Data: Restricted access, patient-level dataset with clinical and symptom data, demographics, and state and county of residence. Access requires a registration process and a data use agreement. (33 data elements)

Requesting Access to the COVID-19 Case Surveillance Restricted Access Detailed Data Please review the following documents to determine your interest in accessing the COVID-19 Case Surveillance Restricted Access Detailed Data file: 1) CDC COVID-19 Case Surveillance Restricted Access Detailed Data: Summary, Guidance, Limitations Information, and Restricted Access Data Use Agreement Information 2) Data Dictionary for the COVID-19 Case Surveillance Restricted Access Detailed Data The next step is to complete the Registration Information and Data Use Restrictions Agreement (RIDURA). Once complete, CDC will review your agreement. After access is granted, Ask SRRG (eocevent394@cdc.gov) will email you information about how to access the data through GitHub. If you have questions about obtaining access, email eocevent394@cdc.gov.

Overview

The COVID-19 case surveillance database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and affili

The Crowd Data Center is an online, international aggregator of openly available data from various global crowdfunding platforms. It provides standardised, structured, and downloadable datasets containing campaign-level information such as project descriptions, funding targets, amounts raised, backer counts, campaign duration, and project categories.The crowd data center is one of the most widely utilized datasets in academia due to its high-quality, cleaned data, which is captured directly from original crowdfunding platforms through automated data extraction protocols. Available at https://thecrowddatacenter.com/Type of Data Collection MethodSecondary Data Collection or Archival Data.Description of the Data Collection MethodThe research design depends on secondary, archival data obtained from the CDC. The data were collected from previously run campaigns recorded across crowdfunding platforms, such as Kickstarter or Indiegogo, and stored within the CDC database.The crowd data center utilises automated web-scraping and API-based data extraction methods for continuous gathering, verification, and updating of data from campaigns. Researchers download datasets from the data centre in CSV or Excel format for analysis. Short Paragraph Example for Your Proposal: The study will utilize secondary data sourced from the Crowd Data Center, an international database that aggregates structured archival data from large crowdfunding platforms. The CDC contains extensive information on campaign characteristics, funding models, creator profiles, and project outcomes. Data presented by the CDC is gathered through automated web scraping and API extraction techniques, ensuring accuracy and comparability across crowdfunding platforms. This approach of collecting secondary data facilitates large-sample empirical analysis and allows one to avoid collecting primary data.

Research projects funded by the National Institutes of Health (NIH), other DHHS Operating Divisions (ACF, AHRQ, CDC, FDA, HRSA), and the Department of Veterans Affairs. The ExPORTER files provide weekly and/or yearly snapshots of the data publicly accessible through the NIH Research Portfolio Online Reporting Tools, Expenditures and Results (RePORTER) system at https://reporter.nih.gov. The RePORTER database can also be queried using the user interface or the API. The RePORTER database contains information such as project title, abstract, principal investigator, funded organization, total awarded costs, categorization by area of research (NIH only), and project keywords. Also available is information on research publications and patents that have cited support from each project.