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https://github.com/SchapiroLabor/histoCAT

Software package to visualize and analyse multiplexed image cytometry data interactively.

Proper citation: histoCAT (RRID:SCR_026499) Copy   

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https://mimedb.org

Database containing detailed information about small molecules produced by human microbiome. Provides metabolite data including structure, names, descriptions, chemical taxonomy, chemical ontology, physico-chemical data, spectra and contains detailed information about microbes that produce these chemicals, enzymatic reactions responsible for their production, bioactivity of chemicals and anatomical location of these chemicals and microbes. Many data fields in the database are hyperlinked to other databases including FooDB, HMDB, KEGG, PubChem, MetaCyc, ChEBI, UniProt, and GenBank. Database is FAIR compliant.The data in MiMeDB are released under the Creative Commons (CC) 4.0 License.

Proper citation: MiMeDB (RRID:SCR_025108) Copy   

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http://www.nia.nih.gov/research/dab/aged-rodent-tissue-bank-handbook

A repository of tissue collected from the NIA Aged Rodent Colonies under contractual arrangement with BioReliance. The NIA colonies are barrier maintained and Specific Pathogen Free. Tissues are fresh frozen and stored at -80 degrees Celsius. Tissue from the NIA Aged Rodent Tissue Bank is available to investigators at academic and nonprofit research institutions who are engaged in funded research on aging. The project name and source of funding must accompany all orders. It may not be possible to ship tissue to foreign countries that have restrictions on the import of animal tissues or products. Please Note: Incomplete order forms will be returned. We can only offer following week delivery for those orders for which completed order forms are received by the deadline of Tuesday noon, Eastern time. Starting April 1, 2012, a copy (.pdf) of the purchase order must be emailed along with the order form.

Proper citation: Aged Rodent Tissue Bank (RRID:SCR_010607) Copy   

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http://www.nia.nih.gov/research/blog

Blog intended for grantees of the National Institute on Aging (NIA) at the NIH, as well as applicants for funding, those with an application in mind, application reviewers, and students pursuing careers in research on aging and Alzheimer's disease.

Proper citation: Inside NIA: A Blog for Researchers (RRID:SCR_012812) Copy   

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https://montilab.github.io/hypeR-docs/

Software R package that supports different types of gene set enrichment workflows. Offers multiple enrichment, visualization, and sharing methods in addition to novel features such as hierarchical geneset analysis and built-in markdown reporting.

Proper citation: hypeR (RRID:SCR_027229) Copy   

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http://www.nihpromis.org/

Repository of person centered measures that evaluates and monitors physical, mental, and social health in adults and children.

Proper citation: Patient-Reported Outcomes Measurement Information System (RRID:SCR_004718) Copy   

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http://www.nltcs.aas.duke.edu/index.htm

A data set of a longitudinal survey designed to study changes in the health and functional status of older Americans (aged 65+). It also tracks health expenditures, Medicare service use, and the availability of personal, family, and community resources for caregiving. The survey began in 1982, and follow-up surveys were conducted in 1984, 1989, 1994, 1999, and 2004. The surveys are of the entire Medicare-enrolled aged population with a particular emphasis on the functionally impaired. As sample persons are followed through the Medicare record system, virtually 100% of cases can be longitudinally tracked so that declines, as well as increases, in disability may be identified as well as exact dates of death. NLTCS sample persons are followed until death and are permanently and continuously linked to the Medicare record system from which they are drawn. Linkage to the Medicare Part A and B service use records extends from 1982 to 2004, so that detailed Medicare expenditures and types of service use may be studied. Through the careful application of methods to reduce non-sampling error, the surveys provide nationally representative data on: * The prevalence and patterns of functional limitations, both physical and cognitive; * Longitudinal and cohort patterns of change in functional limitation and mortality over 22 years; * Medical conditions and recent medical problems; * Health care services used; * The kind and amount of formal and informal services received by impaired individuals and how it is paid for; * Demographic and economic characteristics like age, race, sex, marital status, education, and income and assets; * Out-of-pocket expenditures for health care services and other sources of payment; * Housing and neighborhood characteristics. In each of the six surveys, large samples (N~20,000) of the oldest-old population (i.e., those 85 and over) are obtained. The survey data (i.e., detailed community and institutional interviews. The linkage to Medicare enrollment files between 1982 and 2004 was 100%, i.e., there was complete follow-up of all cases (including survey non-respondents) for Medicare eligibility (and for most years, detailed Part A and B use), mortality, and date of death. Medicare mortality records (and dates of death) are available for 1982 to 2005. The number of deaths (i.e., about 32,000 from 1982 to 2005) is large enough that detailed mortality analyses can be done. Over the 22 years spanned by the six surveys, a total of 49,242 distinct individuals were followed from and linked to Medicare records. Data Availability: The data are available through ICPSR as Study No. 9681. The data are available only on CD-ROM and only upon completion of a signed Data Use Agreement. Continuously linked Medicare data (1982 through 2004) for the National Long Term Care Surveys are only available from CMS. * Dates of Study: 1982-2004 * Study Features: Longitudinal, Anthropometric Measures * Sample Size: ** 1982: 20,485 ** 1984: 25,401 ** 1989: 17,565 ** 1994: 19,171 ** 1999: 19,907 ** 2004: 20,474 Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/09681

Proper citation: National Long Term Care Survey (RRID:SCR_008943) Copy   

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http://www.ohsu.edu/xd/research/centers-institutes/neurology/alzheimers/research/data-tissue/biomarkers-genetics.cfm

A center that works with the Oregon Alzheimer's Disease Center's Data Core, and collects and stores tissue samples, family history and genotype data of various populations. These include samples and data from subjects from the following sources: OADC clinical studies, the Oregon Brain Aging Study, the Community Brain Donor Program, the Preventing Cognitive Decline with Alternative Therapies program (informally called the Dementia Prevention Study or DPS), the African American Dementia and Aging Project, and the Klamath Exceptional Aging Project. The collected data samples include genomic DNA, lymphoblast cell lines, genome-wide and candidate region SNP marker data, APOE, AD candidate gene markers.

Proper citation: Layton Center Biomarkers and Genetics (RRID:SCR_008824) Copy   

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http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/09915/version/3

A data set and sister study to the Established Populations for Epidemiologic Study of the Elderly (EPESE). It complements the findings of the three other EPESE sites (East Boston, MA; New Haven, CT; and north-central North Carolina) and has common items and methods in many domains. The target population was all persons 65 years and older in two rural counties in east central Iowa: Iowa and Washington counties. In 1981 a census of older persons in the target area was conducted by the investigators, creating an ascertainment list having 99% of the persons identified in the previous year by the US Decennial Census. The baseline survey was conducted between December 1991 and August 1992. Overall, 3,673 persons, or 80% of the target population were interviewed: 65-69 (N = 986), 70-74 (N = 988), 75-79 (N = 815), 80-84 (N = 523), and 85+ (N = 361). The population is virtually entirely Caucasian. Subsequently, personal follow-up surveys were conducted 3, 6, and 10 years after the baseline survey. Telephone surveys were conducted 1, 2, 4, 5, and 7 years after the baseline survey. Data collected from respondents included information about demographics, major health conditions, health care utilization, hearing and vision, weight and height, elements of nutrition, sleep problems, depressive and anxiety symptoms, alcohol and tobacco use, cognitive performance and dementia screening, incontinence measures, life satisfaction index, social networks and support, worries, medication use, activities of daily living, dental problems, satisfaction with medical care, life events, brief economic status, automobile driving habits, multiple measures of physical and disability status, and blood pressure. At follow-up #6, there were a series of physical function performance tests, the so-called NIA-MacArthur Battery, and blood was drawn for biochemical tests and potentially other determinations. In addition, some datasets were linked to the EPESE dataset under appropriate restrictions, including Iowa state driving records and clinical diagnoses and medical care utilization from the Centers for Medicare and Medicaid Services. Data Availability: The dataset has been shared with several investigative teams under special arrangement with the Principal Investigator. Early surveys are available from ICPSR. A small storage of blood is available for exploratory analyses. * Dates of Study: 1991-2001 * Study Features: Longitudinal, Anthropometric Measures, Biomarkers * Sample Size: 1991-2: 3,673 (baseline) Link: EPESE 1981-93 ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/09915

Proper citation: Iowa 65+ Rural Health Study (RRID:SCR_008937) Copy   

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http://ki.se/en/meb/satsa-the-swedish-adoptiontwin-study-of-aging

Longitudinal twin study to understand individual differences in aging with corresponding data and biological samples. The twin design and the inclusion of twins reared apart makes it possible to study the importance of genetic and environmental factors that may underlie differing aging outcomes. Further, the broad spectrum of biological, psychological, and social domains assessed across the life span makes it possible to study patterns of change within and across domains and how these predict health and diseases of aging. The study is comprised of several longitudinal components including, a comprehensive questionnaire that was sent to all twins in the Swedish Twin Registry who were separated at an early age and reared apart and a control sample of twins reared together. The questionnaires include items concerning rearing, family, adult, and working environment, health status, health related behaviors (e.g. alcohol, tobacco, and dietary habits) as well as relationships, and personality measures. The questionnaires were sent again at 3 year intervals in 1987, 1990, 1993 and after a break again in 2004, 2007, and 2010. Thus far more than 2,000 twins have responded to at least one of the seven questionnaire assessments conducted between 1984 and 2010. Additionally there is information about midlife life style factors from the Swedish Twin Registry that were collected about twenty years before SATSA started. In the second component a subsample of 861 individuals have participated in at least one wave of in-person testing (IPT). The first IPT started in 1986 and since then eight IPTs have been collected and the last wave will be collected during 2012-2013. The IPT includes a health examination, structured interviews, tests of functional capacity, and memory and thinking abilities. To date, over 76% of the sample has participated in 3 or more measurement waves. At IPT9 a third component was added to SATSA, a measure of day-to-day fluctuations in memory and thinking abilities, and emotions. Information about social interactions is also collected. After the visit by the research nurses the twins fill out the day-to-day booklet during the next five days. This procedure will be repeated in IPT10. This will add information about small and short-term changes and more changes are supposed to indicate the beginning of poor health. Data from SATSA can be used to study various aspects of aging. For example, the relative importance of genetic and environmental factors for individual differences in aging especially in cognitive and physical domains has been studied. A further main focus is to study changes within and across domains and which genetic and life style factors predict these changes. Given the wide spectrum of data from measured genes to social relationships collected over more than two decades they dare to say that SATSA is a unique study, with the possibility to answer many questions within gerontology and geriatrics. Types of samples * Serum * DNA Number of sample donors: 674 (June 2010)

Proper citation: KI Biobank - SATSA (RRID:SCR_005966) Copy   

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http://www.norc.org/Research/Projects/Pages/national-social-life-health-and-aging-project.aspx

A longitudinal, population-based study of health and social factors, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health and illness, medication use, cognitive function, emotional health, sensory function, health behaviors, social connectedness, sexuality, and relationship quality. NSHAP provides policy makers, health providers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships. The study contributes to finding new ways to improve health as people age. In 2005 and 2006, NORC and Principal Investigators at the University of Chicago conducted the first wave of NSHAP, completing more than 3,000 interviews with a nationally representative sample of adults aged 57 to 85. In 2010 and 2011, nearly 3,400 interviews were completed for Wave 2 with these Wave 1 Respondents, Wave 1 Non-Interviewed Respondents, and their spouses or cohabiting romantic partners. The second wave of NSHAP is essential to understanding how social and biological characteristics change. NSHAP, by eliciting a variety of information from respondents over time, provides data that will allow researchers in a number of fields to examine how specific factors may or may not affect each other across the life course. For both waves, data collection included three measurements: in-home interviews, biomeasures, and leave-behind respondent-administered questionnaires. The face-to-face interviews and biomeasure collection took place in respondents'''' homes. NSHAP uses a national area probability sample of community residing adults born between 1920 and 1947 (aged 57 to 85 at the time of the Wave 1 interview), which includes an oversampling of African-Americans and Hispanics. The NSHAP sample is built on the foundation of the national household screening carried out by the Health and Retirement Study (HRS) in 2004. Through a collaborative agreement, HRS identified households for the NSHAP eligible population. A sample of 4,400 people was selected from the screened households. NSHAP made one selection per household. Ninety-two percent of the persons selected for the NSHAP interview were eligible. For Wave 2 in 2010 and 2011, NSHAP returned to Wave 1 Respondents and eligible non-interviewed respondents from Wave 1 (Wave 1 Non-Interviewed Respondents). NSHAP also extended the Wave 2 sample to include the cohabiting spouses and romantic partners of Wave 1 Respondents and Wave 1 Non-Interviewed Respondents. Partners were considered to be eligible to participate in NSHAP if they resided in the household with the Wave 1 Respondent/Wave 1 Non-Interviewed Respondent at the time of the Wave 2 interview and were at least 18 years of age. Wave I biomeasures: height; weight; waist circumference; blood pressure; smell; taste; vision; touch; respondent-administered vaginal swabs; oral mucosal transudate (OMT) for HIV-1 antibody screening; saliva; ����??get up and go����??; and blood spots. Technological advances in biomeasure collection methods have decreased respondent burden and increased ease of collection, storage, and yield of various biomeasures for the second wave of NSHAP. Wave II biomeasures: anthropometrics, including height, hip and waist circumference, and weight; cardiovascular function, including blood pressure, heart rate variability, and pulse; 2 of the 3 components of the short physical performance battery (SPPB) including chair stands and a timed walk; sensory function including smell; and actigraphy. In addition, we collect dried blood spots, microtainer blood, passive drool and salivettes, urine, and respondent-administered vaginal swabs, each of which are analyzed using multiple assays for a variety of measures and rationales. Furthermore, we assess respondents����?? cognition using the Montreal Cognitive Assessment (MoCA). Data Availability: NSHAP data made available to the public does not contain any identifiable respondent information and uses code numbers instead of names for all data. De-identified data from the 2005 and 2006 interviews are available to researchers through the National Archive of Computerized Data on Aging, located within Inter-University Consortium for Political and Social Research (ICPSR). Data from the Wave 2 interviews in 2010 and 2011 will be available in the summer of 2012. * Dates of Study: 2005-2006, 2010-2011 * Study Features: Biospecimens, Anthropometric Measures * Sample Size: ** Wave 1: 3,005 ** Wave 2: 3,377 Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/20541

Proper citation: National Social Life Health and Aging Project (NSHAP) (RRID:SCR_008950) Copy   

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http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03255

Data set that looked at religion, self-rated health, depression, and psychological well-being in a sample of older Blacks and older Whites (aged 65 and over) within the United States. Questions were asked regarding religious status, activities, and beliefs among those who currently practice the Christian faith, those who used to be Christian but are not now, and those who have never been associated with any religion during their lifetimes. Demographic variables include age, race, sex, education, and income. Wave II was collected in 2004 and reinterviewed 1,024 respondents. There were 75 respondents who refused to participate, 112 who could not be located, 70 that were too ill for participation, 11 who had moved to nursing homes and 208 were deceased. * Dates of Study: 2001- 2004 * Study Features: Longitudinal, Minority Oversample * Sample Size: 1,500

Proper citation: Religion Aging and Health Survey (RRID:SCR_003625) Copy   

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http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00158

Data set from an ongoing, longitudinal-sequential study of adult-cognitive development, which began in 1956, that focuses on individual differences in age-related changes and differences across cohorts. The general purpose of the study is to examine the changes in intelligence and various abilities throughout adulthood. The data provide a normative base to determine the ages of detectable decrements in ability and the magnitudes of the decrements. The study also seeks to examine patterns of generational differences and age-related differences and to determine the effects of educational intervention on intellectual decline. This study is a mixed cross-sectional, longitudinal, and time-lag design. Included are family studies of cognitive similarity, prospective studies of early signs of dementia via psychological and genetic markers, as well as the investigation of personality and demographic variables that affect cognitive change in adults from young adulthood to advanced old age. Questionnaire topics include health behavior, behavioral rigidity, family environment, Life Complexity Inventory, CES-D Depression, and cognitive and neuropsychology batteries. Group Health Cooperative of Puget Sound Medical Records and Pharmacy Records. * Dates of Study: 1956-Present * Study Features: Longitudinal * Sample Size: 6,000+

Proper citation: Seattle Longitudinal Study (RRID:SCR_003654) Copy   

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http://www.census.gov/did/www/nlms/

A database based on a random sample of the noninstitutionalized population of the United States, developed for the purpose of studying the effects of demographic and socio-economic characteristics on differentials in mortality rates. It consists of data from 26 U.S. Current Population Surveys (CPS) cohorts, annual Social and Economic Supplements, and the 1980 Census cohort, combined with death certificate information to identify mortality status and cause of death covering the time interval, 1979 to 1998. The Current Population Surveys are March Supplements selected from the time period from March 1973 to March 1998. The NLMS routinely links geographical and demographic information from Census Bureau surveys and censuses to the NLMS database, and other available sources upon request. The Census Bureau and CMS have approved the linkage protocol and data acquisition is currently underway. The plan for the NLMS is to link information on mortality to the NLMS every two years from 1998 through 2006 with research on the resulting database to continue, at least, through 2009. The NLMS will continue to incorporate data from the yearly Annual Social and Economic Supplement into the study as the data become available. Based on the expected size of the Annual Social and Economic Supplements to be conducted, the expected number of deaths to be added to the NLMS through the updating process will increase the mortality content of the study to nearly 500,000 cases out of a total number of approximately 3.3 million records. This effort would also include expanding the NLMS population base by incorporating new March Supplement Current Population Survey data into the study as they become available. Linkages to the SEER and CMS datasets are also available. Data Availability: Due to the confidential nature of the data used in the NLMS, the public use dataset consists of a reduced number of CPS cohorts with a fixed follow-up period of five years. NIA does not make the data available directly. Research access to the entire NLMS database can be obtained through the NIA program contact listed. Interested investigators should email the NIA contact and send in a one page prospectus of the proposed project. NIA will approve projects based on their relevance to NIA/BSR''s areas of emphasis. Approved projects are then assigned to NLMS statisticians at the Census Bureau who work directly with the researcher to interface with the database. A modified version of the public use data files is available also through the Census restricted Data Centers. However, since the database is quite complex, many investigators have found that the most efficient way to access it is through the Census programmers. * Dates of Study: 1973-2009 * Study Features: Longitudinal * Sample Size: ~3.3 Million Link: *ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00134

Proper citation: National Longitudinal Mortality Study (RRID:SCR_008946) Copy   

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http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/04076/version/1

A dataset of a survey of intergenerational relations among 2,044 adult members of some 300 three- (and later four-) generation California families: grandparents (then in their sixties), middle-aged parents (then in their early forties), grandchildren (then aged 16 to 26), and later the great-grandchildren as they turn age 16, and further surveys in 1985, 1988, 1991, 1994, 1997 and 2001. This first fully-elaborated generation-sequential design makes it possible to compare sets of parents and adult-children at the same age across different historical periods and addresses the following objectives: # To track life-course trajectories of family intergenerational solidarity and conflict over three decades of adulthood, and across successive generations of family members; # To identify how intergenerational solidarity, and conflict influence the well-being of family members throughout the adult life course and across successive generations; # To chart the effects of socio-historical change on families, intergenerational relationships, and individual life-course development during the past three decades; # To examine women''s roles and relationships in multigenerational families over 30 years of rapid change in the social trajectories of women''s lives. These data can extend understanding of the complex interplay among macro-social change, family functioning, and individual well-being over the adult life-course and across successive generations. Data Availability: Data from 1971-1997 are available through ICPSR as Study number 4076. * Dates of Study: 1971-2001 * Study Features: Longitudinal * Sample Size: ** 345 Three-generational families ** 2,044 Adults (1971 baseline) Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04076

Proper citation: Longitudinal Study of Generations (RRID:SCR_008939) Copy   

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http://www.rand.org/labor/FLS/MFLS.html

A follow-up of the 1976-1977 MFLS-1 dataset covering the respondents'' and spouses'' marriage, fertility, employment, education and migration histories as well as extensive information on the household economy. The MFLS-2 contains a supplementary sample of persons age 50 or older. The data permit analysis of intergenerational transfers to the elderly and their covariates; the living arrangements of the elderly; the health of the elderly; labor supply, occupation and retirement status of the elderly; and their migration patterns. This supplement fills the gap left by many standard sources of demographic and economic information about Third World populations, such as fertility surveys and labor force surveys, which effectively exclude the elderly. Field work for MFLS-2 began in Aug. 1988 and was completed in Jan. 1989. The survey was fielded in four samples: * The Panel Sample Women who were the primary respondents to the MFLS-1, who at that time (1976) were ever-married women aged 50 or younger. There are 926 panel households in MFLS-2, a follow-up rate of 72%. * The Children Sample Children aged 18 or older in 1988 of the women interviewed as primary respondents for MFLS-1; i.e. adult children of the women eligible for the MFLS-2 Panel sample. There were interviews with one child, selected at random, inside the Panel household and two children, selected at random, living elsewhere in Peninsular Malaysia. There are 1,136 respondents in the Children sample. * The New Sample A sample of households with a woman aged 18-49 (regardless of her marital status) or an ever-married woman under age 18. There are 2,184 respondents in MFLS-2 New Sample. * The Senior Sample Selected households with a person age 50 or over. There are 1,357 respondents in the Senior Sample. Data Availability: The MFLS-2 (and MFLS-1) data files and documentation are available on-line or from NACDA at ICPSR as Study No. 9805. * Dates of Study: 1988-1989 * Study Features: International * Sample Size: Seniors (aged 50+): 1,357 Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/09805

Proper citation: Second Malaysian Family Life Survey (RRID:SCR_008892) Copy   

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http://cph.georgetown.edu/taiwan.html

Data sets of information regarding the health and well-being of older persons in Taiwan (from 2000 and 2006), in particular the relationship between life challenges and mental and physical health, the impact of social environment on the health and well-being of the elderly, and biological markers of health and stress. The study collected self-reports of physical, psychological, and social well-being, plus extensive clinical data based on medical examinations and laboratory analyses. Examination of health outcomes included chronic illnesses, functional status, psychological well-being, and cognitive function. Questions regarding life challenges focused on perceived stress, economic difficulties, security and safety, and the consequences of a major earthquake. Biological markers were used to identify cardiovascular risk factors, metabolic process measures, immune-system activity, the hypothalamic-pituitary adrenal axis, and sympathetic nervous system activity. The study design consists of face-to-face interviews with participants drawn from a random sub-sample of participants from 27 PSUs from the 1999 Survey of Health and Living Status of the Middle Aged and Elderly in Taiwan. Hospital visits and blood and urine specimens also were collected. A second wave of SEBAS was conducted in 2006 using a similar protocol to SEBAS 2000, but with the addition of performance assessments conducted by the interviewers at the end of the home interview. * Dates of Study: -2000, 2006 * Study Features: Longitudinal, International, Anthropometric Measures * Sample Size: 27 PSUs

Proper citation: Social Environment and Biomarkers of Aging Study in Taiwan (RRID:SCR_003704) Copy   

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http://www.nlsinfo.org/

A dataset that permits examination of health, economic, work, and retirement trajectories for a representative national sample of men from middle to old age. The original sample of 5,020 men, first interviewed in 1966, was re-interviewed periodically until 1983 under a contract with the US Department of Labor. The study provided a detailed longitudinal record of their labor market activity, health, financial status, family structure, and attitudes toward and experience in retirement. The NIA grant made possible a re-interview in 1990 with the surviving men and the widows (or other next-of-kin) of the decedents. The merging of the 1990 data includes death certificate information for the decedents, Blacks were over-represented in the original sample in a ratio of about three or four to one, resulting in about 500 surviving black men in the sample. Information on labor market activity, income, and assets also is available for a sample of about 1,350 widows, 90 percent of whom are between 60 and 89 years of age. This information can be linked to earlier data on the women''s health and work activity that was reported by their late husbands. Due to the original sample selection, other NLS cohorts contain wives and daughters of the older men. These other surveys also hold a wealth of detailed information on aging and retirement issues, especially on income transfers. * Dates of Study: 1966-1990 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** 1966: 5,020 men (baseline) ** 1990: 2,092 surviving men, 1,341 widows, 865 other next-of-kin Links: * BLS Website on NLS: http://www.bls.gov/nls/ * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04675

Proper citation: National Longitudinal Survey of Older Men (RRID:SCR_008947) Copy   

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http://psidonline.isr.umich.edu/

Long-term longitudinal dataset with information on generational links and socioeconomic and health conditions of individuals over time. The central foci of the data are economic and demographic, with substantial detail on income sources and amounts, wealth, savings, employment, pensions, family composition changes, childbirth and marriage histories, and residential location. Over the life of the PSID, the NIA has funded supplements on wealth, health, parental health and long term care, housing, and the financial impact of illness, thus also making it possible to model retirement and residential mobility. Starting in 1999, much greater detail on specific health conditions and health care expenses is included for respondent and spouse. Other enhancements have included a question series about emotional distress (2001); the two stem questions from the Composite International Diagnostic Interview to assess symptoms of major depression (2003); a supplement on philanthropic giving and volunteering (2001-03); a question series on Internet and computer use (2003); linkage to the National Death Index with cause of death information for more than 4,000 individuals through the 1997 wave, updated for each subsequent wave; social and family history variables and GIS-linked environmental data; basic data on pension plans; event history calendar methodology to facilitate recall of employment spells (2001). The reporting unit is the family: single person living alone or sharing a household with other non-relatives; group of people related by blood, marriage, or adoption; unmarried couple living together in what appears to be a fairly permanent arrangement. Interviews were conducted annually from 1968 through 1997; biennial interviewing began in 1999. There is an oversample of Blacks (30%). Waves 1990 through 1995 included a 20% Hispanic oversample; within the Hispanic oversample, Cubans and Puerto Ricans were oversampled relative to Mexicans. All data from 1994 through 2001 are available as public release files; prior waves can be obtained in archive versions. The special files with weights for families are also available. Restricted files include the Geocode Match File with information for 1968 through 2001, the 1968-2001 Death File, and the 1991 Medicare Claims File. * Dates of Study: 1968-2003 * Study Features: Longitudinal, Minority Oversampling * Sample Size: 65,000+ Links * ICPSR Series: http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/00131 * ICPSR 1968-1999: Annual Core Data: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/07439 * ICPSR 1968-1999: Supplemental Files: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03202 * ICPSR 1989-1990: Latino Sample: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03203

Proper citation: Panel Study of Income Dynamics (RRID:SCR_008976) Copy   

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http://nis.princeton.edu/

Public use data set on new legal immigrants to the U.S. that can address scientific and policy questions about migration behavior and the impacts of migration. A survey pilot project, the NIS-P, was carried out in 1996 to inform the fielding and design of the full NIS. Baseline interviews were ultimately conducted with 1,127 adult immigrants. Sample members were interviewed at baseline, 6 months, and 12 months, with half of the sample also interviewed at three months. The first full cohort, NIS-2003, is based on a nationally representative sample of the electronic administrative records compiled for new immigrants by the US government. NIS-2003 sampled immigrants in the period May-November 2003. The geographic sampling design takes advantage of the natural clustering of immigrants. It includes all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of other MSAs and counties. Interviews were conducted in respondents'' preferred languages. The baseline was multi-modal: 60% of adult interviews were administered by telephone; 40% were in-person. The baseline round was in the field from June 2003 to June 2004, and includes in the Adult Sample 8,573 respondents, 4,336 spouses, and 1,072 children aged 8-12. A follow-up was planned for 2007. Several modules of the NIS were designed to replicate sections of the continuing surveys of the US population that provide a natural comparison group. Questionnaire topics include Health (self-reports of conditions, symptoms, functional status, smoking and drinking history) and use/source/costs of health care services, depression, pain; background; (2) Background: Childhood history and living conditions, education, migration history, marital history, military history, fertility history, language skills, employment history in the US and foreign countries, social networks, religion; Family: Rosters of all children; for each, demographic attributes, education, current work status, migration, marital status and children; for some, summary indicators of childhood and current health, language ability; Economic: Sources and amounts of income, including wages, pensions, and government subsidies; type, value of assets and debts, financial assistance given/received to/from respondent from/to relatives, friends, employer, type of housing and ownership of consumable durables. * Dates of Study: 2003-2007 * Study Features: Longitudinal * Sample Size: 13,981

Proper citation: New Immigrant Survey (RRID:SCR_008973) Copy   

•   Source: SciCrunch Registry