Grants and Contracts, 2012
In fiscal year 2012, ICPSR secured $10 million in grants and contracts through federal agencies, foundations, and the private sector. ICPSR is also a subcontractor on grants through outside universities and organizations. Below is a list of ICPSR grants and contracts, and subcontracts, whose terms included all or some portion of fiscal 2012. Click on the "Abstract" link to read more about each grant, and on each researcher's name to view a profile.
March 2010 - Feb. 2013
National Institutes of Health
Johanna Bleckman and Christopher Greene
Aug. 2011 - June 2013
Bill and Melinda Gates Foundation
Sept. 2012 - Aug. 2014
National Science Foundation
Researchers will have access to improved metadata and new tools to search through and analyze the General Social Survey and the American National Election Studies under a new joint initiative launched by ICPSR, the independent research organization NORC at the University of Chicago, and several partners.
Supported by a collaborative research grant from the National Science Foundation, ICPSR, together with the American National Election Studies program in the Center for Political Studies at UM's Institute for Social Research and NORC, will carry out the two-year "Metadata Portal for the Social Sciences" project. Technical support will be provided by Metadata Technology North America and Integrated Data Management Services
The first phase of the project will involve bringing the metadata for the existing GSS and ANES datasets up to the Data Documentation Initiative (DDI) standard using XML. For a sample of the surveys, the project will also capture enhanced metadata on questionnaire flow and variable transformations.
The second part of the project will create a metadata portal on the Web to demonstrate some of the prototype tools that can be built with the new structured metadata -- for example, survey catalogs and documentation libraries, question and classification banks, dynamic codebooks customized to user specifications, and tools for harmonization and comparison. These innovations will be broadly applicable to all survey data.
Thirdly, the project will develop new metadata-driven workflows and best practices to capture metadata early in the data production process so that it can be reused across the research lifecycle.
Oct. 2009 - Sept. 2013
Institute of Museum and Library Services
This project aims to build an alliance between ICPSR, the world's largest social science data archive, and Institutional Repositories to preserve and re-use the legacy of social science data. Over the last 50 years, each improvement in data processing technology resulted in an increase in research data on a variety of social, economic, and political subjects. Through its activities in the Data Preservation Alliance for the Social Sciences, ICPSR has discovered hundreds of social science datasets that could be profitably reanalyzed with current techniques, but many are in danger of being lost forever. Researchers often report that they do not have time to prepare data for archiving, and many legacy studies are in obsolete formats that will require special treatment. By working together, Institutional Repositories, data librarians, and ICPSR can provide both the technical expertise and the personal attention required to save these valuable resources.
This project will address these problems in three ways:
We will form partnerships with Institutional Repositories to curate and archive classic social science datasets.
We will use these experiences to develop best practices for archiving such materials, which we will publish in a guide for repositories and digital archives. This guide will provide advice on both technical issues, like converting obsolete media and digital preservation, and checklists for discovering important documentation and provenance.
We will identify and design services that ICPSR can offer to Institutional Repositories to assist them with specialized tasks in the archiving and dissemination of social science data.
We look forward to partnering with Institutional Repositories in the development of a network of distributed digital archives.
April 2012 - March 2013
National Institutes of Health
This project seeks to increase the availability of detailed research data about a person's neighborhood and individual characteristics, behaviors, and health outcomes, information which is crucial for research on critical national issues, such as health disparities. However, a delicate balance must be struck between providing easy access to these data and protecting the anonymity of study participants. Responding to the rising demand for contextualized microdata, large national surveys typically collect meticulous information about their subjects' personal and geographic attributes. When data are prepared for public-use files, however, much of this important detail is either suppressed or coarsened to protect the anonymity of respondents. These limitations reduce opportunities for important scientific research and impose costly burdens on producers and distributors who must implement restrictive data use agreements.
Little is known about how the ability to protect a respondent's identity (i.e., disclosure risk) is affected by releasing microdata files that contain the contextual attributes of counties, tracts, blockgroups, and half-mile geographic areas surrounding each subject. Considering factors that are determined at the outset of a study, it is not known how disclosure risk of contextualized microdata is affected by varying levels of sensitive information, or different sampling designs and analytical purposes. Turning to factors that are usually addressed after data collection when research files are prepared for dissemination, it is not known to what extent that disclosure risk and the scientific value of data is affected by the selection of different variables for release or application of various statistical techniques to limit disclosure. With a priori knowledge of these determinants, data producers will be able to anticipate how many and which respondents are at risk of disclosure, and adapt their data collection methods to protect them. Such adjustments will preserve and enhance the utility of the data for broad dissemination. Also, factors that affect data collection efficiencies can then be measured, allowing for the estimation of survey costs associated with modifying sampling designs to meet disclosure goals.
Hence this project seeks to incorporate disclosure risk into the conceptual and empirical frameworks used in the evaluation of survey designs. In so doing, we first develop and validate models that predict the composition of survey data under different sampling designs. Next we develop measures and methods used in the assessments of disclosure risk, analytical utility, and disclosure survey costs that are best suited for evaluating sampling and database designs. Lastly we conduct simulations to gather estimates of risk, utility, and cost for studies with a wide range of sampling and database design characteristics.
Sept. 2009 - Sept. 2014
National Institute on Drug Abuse
NIDA has funded many datasets in the social and behavioral sciences and is now pursuing archiving these datasets and making them available to other researchers in the field. ICPSR will provide the services of data archiving, technical assistance to investigators preparing their data for archiving, technical assistance to investigators accessing and analyzing archived datasets, and training in secondary data use.
Nov. 2011 - Feb. 2013
National Institute on Aging
Johanna Bleckman and Christopher Greene
July 2009 - April 2013
National Collegiate Athletic Association
ICPSR staff will review four NCAA data collections to ensure their completeness, accuracy, readability, respondent confidentiality, and usability for secondary analysis. These four datasets are:
- Longitudinal database of team-level graduation-rates
- Longitudinal database of team-level Academic Progress Rates
- Study of College Outcomes and Recent Experiences (SCORE)
- Growth, Opportunities, Aspirations and Learning of Students (GOALS)
While pertinent information about each of these datasets is expected in electronic form, ICPSR possesses a wide variety of scanning equipment so that it can easily transform any hard-copy documentation into electronic format to accompany the data files. For each collection ICPSR staff will produce a full suite of data and documentation files including raw data (ASCII) files, data definition statements compatible with the popular statistical analysis packages (i.e., SPSS, SAS and Stata) and system files for each of these packages, which will allow immediate access to the data. Complete data documentation (codebooks) in PDF format will include detailed information on each variable (e.g., variable name and label, value labels, question text, universe statements, and missing data definitions) as well as displays of univariate frequency distributions. ICPSR will also make each NCAA dataset available through its online access system, SDA (Survey Documentation and Analysis). This system provides a data exploration tool for researchers to obtain quick access to all variables and documentation within a dataset, perform interactive analyses, and specify and download a customized subset of variables and/or data records for further study.
ICPSR's data archiving operations have been developed over more than forty years, and modified frequently in that period to conform to changing technical and substantive requirements of social science researchers. Upon receipt of any data collection from the NCAA, ICPSR will prepare and retain security copies of all original data files and documentation in its preservation archive. ICPSR then will communicate with staff at NCAA to resolve any problems discovered during the examination and evaluation process. Finally, full descriptions of processed data collections will be added to both the ICPSR and NCAA websites and made available for public dissemination through normal ICPSR policies and procedures.
Throughout the data archiving process, ICPSR will work closely with NCAA staff to make certain that the public-use files meet NCAA confidentiality and data quality guidelines. ICPSR will ask NCAA staff to review processed data and documentation files as a final check before they are placed on the ICPSR server for downloading to researchers. After approval, ICPSR will work closely with NCAA staff to make certain that any data available from NCAA directly matches that released in the public-use files. All four collections will be processed and available for download from ICPSR, as directed by the NCAA.
July 2009 - Aug. 2014
Eunice Kennedy Shriver National Institute of Child Health and Development
Beginning in 2003, the National Institutes of Health developed an explicit data sharing policy which encouraged scientists whose research is funded by NIH to develop ways to share their research data with the public and, more specifically, their fellow scientists. This policy, coupled with other federal data sharing requirements and the explicit recognition of the synergistic value to science of broad-based data sharing among scientists with similar substantive interests, has led to a substantial and important expansion of structured and unstructured data archives and repositories. The first cycle of funding for this project established the basis for data infrastructure to support demographers housed at population centers and those researchers whose data collections have particular relevance to demographic research. The project proposed here is a continuation of a five year cooperative agreement that provides data archiving, preservation and dissemination, and other data infrastructure services.
The specific aims of this project complement the original agreement's goals, which included (1) data acquisition, curation, dissemination, and preservation, (2) restricted use data sharing, (3) user support and outreach, and (4) improvements in the science of data sharing including disclosure risk evaluation, complex data conceptualization and shared frameworks for data sharing (the legal framework) and data documentation (the Data Documentation Initiative). In this phase of the project, we bring new technologies and data architecture to help reengineer the way we provide these services and to expand the integrated infrastructure support that will help improve the delivery of the parts of the demographic data collection that reside at ICPSR and those that reside in affiliated population centers. The goal is to work toward a legal, technical, and substantive framework in which to share research data in the population sciences. Specifically, with partners at the Carolina Population Center, Minnesota Population Center, Hopkins Population Center, Rand Population Research Center and the Michigan Population Studies Center, we will add new technologies to provide open source methods of data curation and dissemination. The value of shared data resources such as Data Sharing for Demographic Research for health sciences cannot be understated. The analysis of secondary data undergirds many of the important findings on health disparities, fertility and family formation, sources of differential mortality, and determinants of many health behaviors.
Feb. 2009 - April 2014
Eunice Kennedy Shriver National Institute of Child Health and Development
This project will provide extremely valuable specialized training in historical demographic techniques for analyzing longitudinal data to students and researchers working in a variety of demographic sub-fields. The rational for the project is simple: Historical demography has a long history of important contributions to the theory, methods, and practice of population studies, especially in the use of longitudinal data. Historical demographers are currently making important contributions to mainstream demographic research in fertility, mortality, family systems, aging, and migration. Indeed, the size, scope, and temporal and geographic coverage of databases currently available and under construction are unprecedented. Since historical data are often longitudinal and multi-level, they raise subtle methodological problems.
Meaningful analysis often requires specialized methodologies, such as family reconstitution and back projection that are unique to historical research. Since they are based on fundamental principles of demographic theory, students trained in these methods are both prepared for historical research and better able to use complex contemporary sources. Historical data can be a perfect model for analysis of demographic processes. The number of observed covariates is usually limited, and historical demographers have excelled in creatively using longitudinal and genealogical information to construct contextual and time-varying covariates. The longitudinal analysis techniques students learn will provide a roadmap for use with any dataset with a time dimension, including many large contemporary datasets collected through NIH funding.
This program will offer both formal courses and opportunities for practical experience with active researchers. Students will be introduced to datasets and advanced statistical techniques at the forefront of current research. This project will continue an interdisciplinary project that trains students, researchers and faculty in the use and analysis of historical longitudinal demographic data. This program will enable and enhance demographic research using advanced statistical techniques in fertility, mortality, family systems, aging, and migration, using new and existing historical and contemporary datasets, many of them collected through NIH funding mechanisms.
Jan. 2009 - May. 2013
Department of Justice
Sept. 2008 - Aug. 2013
National Science Foundation
This project is working to transform teaching in the social sciences by infusing quantitative literacy throughout the curriculum and by providing undergraduates opportunities to engage in active research experiences using the most advanced social science data. The primary project activities are creating, disseminating, and assessing teaching materials that make it easy for instructors to integrate data analysis in non-methodology courses. The goal is to reduce the "quantitative reasoning gap" between what students learn in early courses and the importance of empirical research in the social sciences. The partners in this project are building upon two extant sources of data (1) the Social Science Data Analysis Network (SSDAN), which distributes teaching modules based on U.S. Census data, and (2) the Inter-university Consortium for Political and Social Research (ICPSR), the world's largest social science data archive.
A second goal of the project is to recruit experienced faculty members to develop new tools for assessing student learning and to conduct assessments in their classes. These assessment tools are intended for distribution with existing and new teaching materials. New software and teaching strategies are being developed to simplify complex data for presentation to undergraduates.
A third goal is to provide training for faculty members to introduce them to the characteristics of new data sets, relevant statistical techniques, teaching strategies, and assessment procedures. Much of the dissemination to end users is taking place through the use of cost-effective Webinars. The communication resources of the American Sociological Association, the American Political Science Association, the National Numeracy Network, and the approximately 700 colleges, universities, and research institutions who are members of ICPSR are to be mobilized to disseminate information about new teaching materials. websites are to be enhanced to help faculty form teaching communities within disciplines. This approach is expected to help bring about a transformative change in the ways that undergraduates encounter and understand the role of research in the social sciences.
Sept. 2008 - Oct. 2013
National Science Foundation
The Quantitative Social Science Digital Library (QSSDL) Pathway provides a portal to materials and modules that integrate quantitative analysis with the teaching of the social sciences. QSSDL is a partnership of the Inter-university Consortium for Political and Social Research (ICPSR) and the Social Science Data Analysis Network (SSDAN), both at the University of Michigan, and the American Sociological Association, the American Political Science Association, and the Association of American Geographers.
Quantitative analysis has long played a key role in social science research. Influential voices have been calling for ways make data analysis a staple feature in a large variety of courses in the social sciences, including introductory courses. This pathway is designed to help instructors find high quality teaching materials and datasets for student exercises and research. It is building on the rapid acceleration in the availability of data, the creation of new educational tools, and growing interest by instructors in making innovative use of digital resources for instruction.
The integration of this social science pathway into the portfolio of NSDL Pathway projects adds a new resource to the existing networked infrastructure of repositories and professional associations. Experts in the Science Education Resource Center (SERC) at Carleton College are providing pedagogical, assessment, and evaluation services. In particular, SERC is conducting evaluations that include pre- and post-intervention assessments of faculty use of QSSDL resources on ten selected campuses, and QSSDL teaching materials are being linked to the "Pedagogy in Action" server at SERC. The QSSDL Pathway helps individuals who create resources by providing archiving and preservation services for those lacking adequate institutional support.
This project also builds on ICPSR's long and successful model of sustainability, which is based on a diverse portfolio of memberships held by colleges and universities, research grants, and contracts.
Nov. 2007 - Feb. 2013
Robert Wood Johnson Foundation
Nov. 2007 - July 2013
Fenway Institute at Fenway Community Health
Sept. 2007 - Aug. 2013
National Institute on Aging
The mission of the National Archive on Computerized Data on Aging (NACDA) is to contribute to the intellectual vitality of the gerontological sciences. We accomplish this through the activities of the project staff under the guidance of established researchers who lead the project team, and a growing body of NACDA Research Affiliates drawn from the broader research community guiding NACDA acquisition goals. NACDA intends to accomplish four specific aims over the next five-year project period.
First, NACDA will acquire and preserve datasets of scientific importance to the gerontological research community especially in the areas of longitudinal data, international data, data on minority aging, historical data, and data that are otherwise not readily available. This will require a focused effort to encourage researchers to share and archive their data for use by the wider scientific community. NACDA's activities in training, and the provision of resources and tools have nurtured the culture of data sharing and archiving within the social science community and facilitated its growth.
Second, NACDA will distribute data and documentation to researchers in a form that will facilitate their use, and will do so in an efficient and cost-effective manner. This will involve the creation of data and documentation products that can be used more easily than the versions created by the original data producer and continued leadership in the use of new modes of data storage and transmission. New technologies and presentation strategies such as our online bibliography, variable level search capacity, and ongoing Web enhancements will significantly improve the vitality of our data in the coming years.
Third, NACDA will provide support and assistance to NIA-funded researchers who are producing data, in order to facilitate their data sharing activities and the long-term preservation of the data. NACDA will continue to be an active participant in the research process, particularly in the realm of developing tools, training and support for the preparation of data for secondary users. During the next five years, we will enhance these services to make the process easier, and will implement innovative solutions that recognize the diversity of approaches that researchers are using to share their data.
Fourth, NACDA will provide user support and technical services to facilitate secondary data analysis in gerontology. As an aspect of this goal, we see the integration of search and analysis tools within our website as enhancing the ability of researchers to utilize the array of data contained in the archive. As part of this specific aim, NACDA will retrofit its existing collection to make available ready to use system files for popular analysis software packages.
May 2010 - May 2015
Substance Abuse and Mental Health Services Administration (SAMHSA)
ICPSR is a subcontractor on the following grants:
Sela Panapasa, U-M Research Center for Group Dynamics
Jan. 2012 - Dec. 2014
American Cancer Society
This project represents innovative research to improve current understandings of cancer disparities and the disproportionate cancer burden among U.S. Pacific Islanders. Our research will focus on Native Hawaiians, Guamanian/Chamorros and Samoans, three Pacific Islander ethnic minority groups that face significant risks of being medically underserved. Understudied in the broader health disparity literature, these distinct minority groups share common traits. As U.S. citizens (Native Hawaiians and Guamanian/Chamorros) and immigrants of the U.S. territories including the independent Samoa, they face high levels of under-employment and poverty, frequently lack health insurance, and often suffer from untreated illness. Moreover the rarity of Pacific Islander respondents in national health surveys has led many researchers to declare it impossible to examine Pacific Islander health needs in a statistically robust manner using periodic surveys that measure the nation's health. The artificial grouping of Pacific Islanders with Asians has created additional measurement problems due to the high level of heterogeneity with the Asian Pacific Islander (API) category. The specific aims of this study are: 1) to describe cancer incidence and mortality among Pacific Islanders living in Hawaii and California; 2) Identify disparities in cancer incidence and mortality for their three subgroups; and 3) Compare cancer incidence and mortality among Pacific Islanders in Hawaii and California. The study involves analysis of population based data - the National Cancer Institute Surveillance Epidemiology and End Results (SEER) cancer registry system, the National Center for Health Statistics Mortality Detail Files (MDFs), U.S. Census summary files and a specialized county-level contextual data file that can be linked to these other data sets to reflect community effects. Initially cancer incidence rates and cancer related mortality rates will be calculated using the cohort-component approach, generating the annual intercensal population estimates currently lacking for both the SEERS and the NCHS data. Age cohort differentials across the lifecourse of cancer care and risk of mortality will be examined using life table analysis and age standardized comparisons across groups by gender and geography. Logistic and multiple regression models are employed in the analysis of socioeconomic factors associated with differences in cancer incidence and mortality. To determine survival patterns for leading cancer sites and level of cancer care the proposed study will employ life-table techniques, distributional hazard and Cox models. The proposed research will establish useful baseline information on cancer incidence and mortality, and lay the foundation for meaningful systematic interventions to reduce cancer disparities among this underserved population.
James McNally of NACDA and ICPSR will advise the project on data file management, data preservation, and statistical data analysis. He will also contribute to preparation of presentations and papers for professional meetings and publication in peer-review journals.
Sept. 2011 - Aug. 2013
National Institute on Aging
Sept. 2012 - Sept. 2013
Agency for Health Care Research and Quality, Department of Health and Human Services
Sept. 2010 - Sept. 2013
Agency for Healthcare Research and Quality, Department of Health and Human Services
The Agency of Healthcare Research and Quality (AHRQ) has funded a series of R21 and R24 grants to expand and enhance the existing body of knowledge and evidence on care for complex patients. The Abt team understands the challenges facing AHRQ in meeting the goals of the Prevention/Care Management Portfolio at this critical time in the transformation of the health care system and is ready to assist AHRQ. Abt Associates offers an outstanding team to support AHRQ’s efforts to facilitate sharing among the R21 and R24 research grantees with each other and other researchers via the Learning Network and creation of public use datasets. Technical assistance (TA) to the AHRQ grantees in the creation of public use data sets will be provided by the Inter-University Consortium for Political and Social Research (ICPSR) via a subcontract with Abt Associates.
ICPSR shall do the following:
- Develop and implement a plan for a technical assistance program for 2008 (non-ARRA R21) and 2010 (ARRA R21 and R24) grantees. The plan should reflect the unique needs of the researchers. For example, the infrastructure development (R24) grants will share a requirement that they establish and follow through specific plans to make any new datasets available to future researchers, even those outside of the original institution. This particular feat has proved extremely challenging to researchers and funders in the past. We foresee a tremendous advantage to the program of grants if there can be technical assistance to aid grantees in finding solutions to common technical problems with data and in particular with solutions to the building of public-access datasets, including important protections for personal data. The plan also should include details on how grantees will request technical assistance, what technical assistance will be provide to all grantees (content and format), and the level of technical assistance that will be available to grantees.
- Develop and implement a dissemination plan including the 2008 R21, the 2010 R21and the R24 grantees. The plan should include: development of materials targeted to researchers and policy-makers to describe study results (from R21 grants) as well as the newly created data sets, and a marketing plan to advertise the availability of the newly created public use data sets and increase use of the data sets.
- Develop and implement an evaluation plan. The plan should include outcomes of interest, data collection strategies, timeline for data collection, analysis plan, and format for the final report.
- Develop and implement a marketing plan to insure the research products of the ARRA grants designed to evaluate health care delivery for complex patients in coordination with partners at Abt and the TOO at the Agency of Health Care Research and Quality.
Sept. 2009 - Sept. 2013
Department of Health and Human Services
ICPSR will be responsible for the following set of tasks as part of the Child Care and Early Education Research Connections cooperative agreement:
website infrastructure (IWS and RDB): ICPSR will be responsible for housing, installing, configuring, maintaining, evaluating, and planning the enhancement of the website infrastructure on which the Interactive Web Site (IWS) and Research Data Base (RDB) rely. This will include hardware, network, system software (Linux), Web server applications (Apache, Cocoon, Tomcat), the relational database (Oracle) infrastructure developed during the first 5 years of the project and extending to new technologies incorporated in the second 5 years. ICPSR will be responsible for infrastructure supporting two broad functions, the Manage function through which project staff manage content for the website, and the Discover function through which users find the information they need.
website design (IWS and RDB): ICPSR will be responsible for maintaining and enhancing the reliability and usability of the Research Connections website. Enhancements will include Web design features such as the appearance, navigation, search-browse, and rich linkage elements of the site. These will require changes to both the Interactive Web Site (IWS) and the underlying Research Data Base (RDB).
ICPSR will also work on developing and implementing enhancements that increase the ease of use and the overall functional appeal of the IWS such as the ability to browse the collection through a topical classification system, better use of the thesaurus in searching, and more Web 2.0 (user-generated site content) features.
Also planned are fundamental changes to the underlying architecture of the RDB to bring it more in line with international and archival community standards, such as FEDORA. ICPSR will conduct a review of the current full text search tools and experiment with ways to improve search result relevancy, possibly leading to significant changes in how searching is done.
The exact feature list and task priorities will be set in consultation with NCCP and the project Steering Committee.
Archive of Datasets (AD): ICPSR will acquire, process, document, archive, and disseminate research data relevant to child care and early education policy for use in secondary data analysis. Research Connections will continue to maintain a list of large-scale surveys and key administrative data that should be considered for inclusion in the AD. This list will continue to be reviewed and revised. Priorities for acquiring data and the level of processing that datasets will receive will be set in conjunction with NCCP, OPRE and the appropriate committee of the project's Advisory Council.
ICPSR will generate high-quality metadata that will be used to describe, index and search the holdings. Data holdings will be formatted for easy download and subsetting. Many collections will be setup for on-line analysis and quick reporting. A process for providing access to restricted-use data, audio and video material is in place and will be further refined based on feedback from users and the relevant stake holders.
Technical Assistance (TA): The IWS already contains a number of elements supporting the TA objective: email links for users to ask questions, report problems, or give feedback, tutorials explaining key concepts of understanding research, data preparation, and data usage, user guides explaining key aspects of complex data collections, sample setups for loading and using data in statistical packages, listservs and bulletin boards to allow theme or dataset oriented collaboration. Where indicated these tools will be refined. Additional tutorials and user guides are planned, as well as a more user friendly on-line analysis interface.
ICPSR will also contribute to the TA component by responding to electronic and telephone questions related to the use and preparation of datasets, through in-person activities such as attending conferences, planning and presenting mini workshops on relevant datasets at conferences. ICPSR will continue to plan and host a multi-day, intensive workshop, currently presented in Ann Arbor, MI each summer, on a major topic covered that can be analyzed using data available through the AD.
ICPSR will reach out to OPRE grantees whose projects involve the production of a research dataset to assist them in preparing their data for dissemination and long-term preservation through Research Connections. AD staff will contact OPRE grantees as soon as possible and throughout the life cycle of the research to provide support aimed at facilitating the eventual deposit in the Research Connections Archive of Datasets.
Aug. 2009 - June 2014
National Institutes of Health
July 2009 - June 2013
National Institutes of Health
This project will be undertaken by an interdisciplinary team from four institutions: the Uniformed Services University of the Health Sciences (USUHS), Harvard Medical School (HMS), the University of Michigan (UM), and Columbia University (CU). The team has unparalleled expertise in research on military mental health (USUHS), general population psychiatric epidemiology (HMS), large-scale epidemiological data collection (UM), and neurobiological-clinical research on suicidal behaviors (CU). We will do a multi-phase epidemiological study that considers diverse psychosocial and neurobiological risk and protective factors for suicidal behaviors and secondary outcomes in order to make evidence-based recommendations for implementation of army suicide prevention interventions. An enriched version of the Army Suicide Event Report (ASER) system will be developed to define the primary outcomes incorporating information from the Department of Defense Medical Mortality Registry (MMR) and Total Army Injury and Health Outcomes Database (TAIHOD). Our study design will include both a retrospective case-control component for quick efficient hypothesis testing and a prospective survey component to predict subsequent suicidal behaviors and secondary outcomes (onset, persistence, worsening of DSM-IV disorders, suicide ideation, suicide plans). We will also use data from the ongoing Pre- and Post-Deployment Health Reassessment Program (PDHRP) surveys as secondary outcomes. The case-control survey will study soldiers who made nonfatal attempts and relatives of soldiers who committed suicide in a psychological autopsy framework. Parallel data will be collected from carefully matched controls. Blood samples and, in the case of nonfatal attempters and their controls, saliva samples will be collected to allow neurobiological risk and protective factors to be studied. The survey component will include active duty personnel across all phases of army service. Survey reports will be linked to subsequent ASER records and PDHRP reports to study prospective associations of predictors with suicidal behaviors and secondary outcomes. A number of innovative measurement, design and analysis features will be used to increase chances of discovering effective intervention possibilities.
The problem of army suicide is one of great importance because an effective military force requires its members to be not only physically healthy but also mentally healthy. The relevance of a current study of army suicide is heightened by the alarming rise in the suicide rate of U.S. Army personnel over the past five years. The research proposed here has the potential to be of great value in helping the Army select optimally effective interventions to address this problem.
Sept. 2007 - June 2017
National Institute on Aging
April 2007 - March 2013
National Institutes of Health
The central goal of this project is to produce a harmonized dataset of U.S. family and fertility surveys spanning the 1955-2002 period, including the 1955 and 1960 Growth of American Families (GAF); the 1965, 1970, and 1975 National Fertility Survey (NFS); and the 1973, 1976, 1982, 1988, 1995, and 2002 National Survey of Family Growth (Cycles 1-6 of the NSFG). This new Integrated Fertility Survey Series (IFSS) and its associated data products will facilitate analyses across nearly a 50-year period, yielding new insights into changes in fertility and the family. The past five decades have witnessed marked changes in family and fertility patterns. While scientists from a broad range of disciplines have produced a large body of research on these topics, the ability to make comparisons over time -- a central task for understanding family change -- has been inhibited by difficulties in using multiple datasets to make time-series comparisons (e.g., changes in universe, weighting procedures, imputation protocols, question wording, variable availability). This is especially true when attempting to include surveys from the earlier years (i.e., 1950s and 1960s). Yet these early surveys, used in combination with later ones, would provide vital benchmarks for documenting and understanding transformations in fertility and the family.
Our project has four goals: (1) to prepare clean, standardized electronic data files and documentation for eleven fertility surveys and to archive and document the files at a single source site using Inter-university Consortium for Political and Social Research (ICPSR) archival standards; (2) to produce a harmonized data file with metadata; (3) to create online data analysis files with an analytic interface; and, (4) to provide user training in the use of the harmonized data file and other data products created by the project.
Aug. 2010 - July 2014
National Institutes of Health
ICPSR holds the physical and digital materials assoicated with the Cornell Sutdy of Occupational Retirement, a 1952 survey of more than 4,000 individuals. Four follow-up studies were conducted every one to two years. The archive is comprised of punched cards and documentation that were collected and analyzed in the 1950s and 1960s, painting a broad-based picture of retirement in the 1950s. The data represent a unique, large-scale data source that has never been made publically available to demographers, sociologists, and economists, who could now investigate state-of-the-art research questions and apply advanced multivariate models to these data.
The aims of ICPSR's portion of this project, under the auspices of the Michigan Center on the Demography of Aging, are to a) conduct a complete inventory of the physical and digital archives, b) read all the punched cards and convert the data to modern, tab-delimited format to prevent future loss/obsolescence, and c) provide pilot data to seed an application to the National Institute on Aging.