Data Catalog

The purpose of this study was to determine whether adult sexual assault cases in a Midwestern community were more likely to be investigated and prosecuted after the implementation of a Sexual Assault Nurse Examiner (SANE) program, and to identify the 'critical ingredients' that contributed to that increase. The data are divided into six parts: Part 1, Study 1: Case Records Quantitative Data; Part 2, Study 2: Case Characteristics Quantitative Data; Part 3, Study 3: Police and Prosecutors Interview Qualitative Data; Part 4, Study 4: Police Reports Quantitative Data; Part 5, Study 5: Survivor Interview Qualitative Data; Part 6, Study 6: Forensic Nurse Interview Qualitative Data.

The Large Truck Crash Causation Study (LTCCS) is based on a 3-year data collection project conducted by the Federal Motor Carrier Safety Administration (FMCSA) and the National Highway Traffic Safety Administration (NHTSA) of the U.S. Department of Transportation (DOT). LTCCS is the first-ever national study to attempt to determine the critical events and associated factors that contribute to serious large truck crashes allowing DOT and others to implement effective countermeasures to reduce the occurrence and severity of these crashes. The LTCCS documents 1,070 major crashes with approximately 1,000 variables on each crash obtained through driver, passenger, and witness interviews; crash scene, truck, and driver inspections, police reports; hospital records; and coroners' reports.

This study evaluated advocacy services offered to battered women in Detroit, Michigan, and examined other aspects of coordinated community responses to domestic violence by focusing on women named as victims in police reports. Advocacy was defined as those services provided to support victims during the legal process or to enhance their safety. For the Preliminary Complaint Reports Data (Part 1), a random sample of preliminary complaint reports (PCRs), completed by police officers after they responded to domestic violence calls, were gathered, resulting in a sample of 1,057 incidents and victims. For Victim Advocacy Contact Data (Part 2), researchers obtained data from advocates' files about the services they provided to the 1,057 victims. For Case Disposition Data (Part 3), researchers conducted a computer search to determine the outcomes of the cases. They looked up each perpetrator from the list of 1,057 incidents, and determined whether there was a warrant for the focal incident, whether it turned into a prosecution, and the outcome. The Initial Victim Interview (Part 4) and Follow-Up Victim Interview Data (Part 5) were conducted from April 1998 to July 1999. During the same period that researchers were completing the second interviews, they also interviewed 23 women (Victim Comparison Group Interview Data, Part 6) from the list of 1,057 whom they had been unable to reach during the first interviews. They compared these 23 women to the 63 who had second interviews to determine if there were any differences in use of services, or views toward or participation in prosecution. Variables in Part 1 focus on whether alcohol and abuse were involved, previous incidents, the suspect's psychological aggressions and physical assaults, if a weapon was used, if the victim was hurt, if property was damaged, if the victim sought medical attention, and the severity of physical abuse or injury. Variables in Part 2 provide information on the role of the advocate, methods of contact, types of referrals made, and services provided. Variables in Part 3 include the type of charge, outcome of resolved case, why the case was dismissed, if applicable, and if the suspect was sentenced to probation, costs, confinement, no contact with the victim, a batterer program, or community service. [...]

The COVID Racial Data Tracker is a collaboration between the COVID Tracking Project and the Antiracist Research & Policy Center. This team tracks race and ethnicity data from every state that reports it, and is updated twice per week.

This study reports the sequencing and manual annotation of the Gerris buenoi (G. buenoi) genome; the first water strider genome to be sequenced thus far. The size of the G. buenoi genome is approximately 1,000 Mb, and this sequencing effort has recovered 20,949 predicted protein-coding genes. Manual annotation uncovered a number of local (tandem and proximal) gene duplications and expansions of gene families known for their importance in a variety of processes associated with morphological and physiological adaptations to a water surface lifestyle.

The National Institutes of Health (NIH) Data Book (NDB) provides basic summary statistics on extramural grants and contract awards, grant applications, the organizations that NIH supports, the trainees and fellows supported through NIH programs, and the national biomedical workforce. The Data Book is organized into categories and sub-categories, each of which will display related reports together on a single page. Most reports provide both an interactive chart visualization and the underlying data table.

It has long been thought that biomedical doctoral students pursue careers primarily as tenure-track/tenured faculty at research institutions. Recent reports showed, however, that the majority of biomedical doctoral alumni engage in a variety of careers. Wayne State University (WSU) undertook a project to understand the career trajectories of its biomedical doctoral alumni to create programs to better prepare its students for careers in multiple pathways. Data were collected on career outcomes of WSU's biomedical doctoral alumni who graduated in a 15-year period from 1999-2014. Careers were classified into three tiers by Employment Sector, Career Types and Job Functions and career paths were examined by alumni gender, race, U.S. citizenship status, and association with certain academic characteristics. Several statistically significant differences in career paths among all demographics were found.

The Federal Transit Administration's National Transit Database (NTD) records the financial, operating and asset condition of transit systems. After data reporting was required by Congress in 1974, the NTD was set up to be the repository of data about the financial, operating and asset conditions of American transit systems. The NTD is designed to support local, state and regional planning efforts and help governments and other decision-makers make multi-year comparisons and perform trend analyses. It contains a wealth of information such as agency funding sources, inventories of vehicles and maintenance facilities, safety event reports, measures of transit service provided and consumed, and data on transit employees. Those receiving funding from the Urbanized Area Formula Program (5307) or Rural Formula Program (5311) – are required to submit data to the NTD in uniform categories. More than 660 transit providers report to the NTD through the Internet-based system.