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Found 9 result(s)
The UK Data Archive is curator of the largest collection of digital data in the social sciences and humanities in the United Kingdom. With several thousand datasets relating to society, both historical and contemporary, our Archive is a vital resource for researchers, teachers and learners.We are an internationally acknowledged centre of expertise in the areas of acquiring, curating and providing access to data. Since 2005 our archive has been designated a Place of Deposit by the National Archives allowing us to curate public records. We acquire high quality data from the academic, public, and commercial sectors, providing continuous access to these data while we also support existing and emerging communities of data users.
The DNB Household Survey (DHS) supplies longitudinal data to the international academic community, with a focus on the psychological and economic aspects of financial behavior. The study comprises information on work, pensions, housing, mortgages, income, assets, loans, health, economic and psychological concepts, and personal characteristics. The DHS data are collected from 2,000 households participating in the CentERpanel. The CentERpanel is an Internet panel that reflects the composition of the Dutch-speaking population in the Netherlands. Both the DHS as well as the CentERpanel, in which the study in conducted, are run by CentERdata
The Longitudinal Aging Study Amsterdam (LASA) at the VU University and VU University Medical Centre is initiated by the Ministry of Health, Welfare and Sports in 1991 to determine predictors and consequences of ageing. LASA focuses on, physical, emotional, cognitive and social functioning in late life, the connections between these aspects, and the changes that occur in the course of time
CPES provides access to information that relates to mental disorders among the general population. Its primary goal is to collect data about the prevalence of mental disorders and their treatments in adult populations in the United States. It also allows for research related to cultural and ethnic influences on mental health. CPES combines the data collected in three different nationally representative surveys (National Comorbidity Survey Replication, National Survey of American Life, National Latino and Asian American Study).
TRAILS is a prospective cohort study, which started in 2001 with population cohort and 2004 with a clinical cohort (CC). Since then, a group of 2500 young people from the Northern part of the Netherlands has been closely monitored in order to chart and explain their mental, physical, and social development. These TRAILS participants have been measured every two to three years, by means of questionnaires, interviews, and all kinds of tests. By now, we have collected information that spans the total period from preadolescence up until young adulthood. One of the main goals of TRAILS is to contribute to the knowledge of the development of emotional and behavioral problems and the (social) functioning of preadolescents into adulthood, their determinants, and underlying mechanisms.
The LISS panel (Longitudinal Internet Studies for the Social sciences) is the principal component of the MESS project. It consists of 4500 households, comprising 7000 individuals. The panel is based on a true probability sample of households drawn from the population register by Statistics Netherlands. Households that could not otherwise participate are provided with a computer and Internet connection. A special immigrant panel is available in addition to the LISS panel. This immigrant panel is comprised of around 1600 households (2400 individuals) of which 1100 households (1700 individuals) are of non-Dutch origin. Panel members complete online questionnaires every month of about 15 to 30 minutes in total. They are paid for each completed questionnaire. One member in the household provides the household data and updates this information at regular time intervals.
Country
PUB represents the central publication data service of Bielefeld University. It serves Bielefeld academics to easily create and administer their personal publication lists and make them available on the web. The University Bielefeld encourages scientists to publish their research data on research data archives. The publications are intended to take account into personal and business related interests and carried out unter mandatory license conditions. The Bielefeld University supports faculties and scientific institutions to link their offerings with global data archives. The university-wide service " PUB - Publications at Bielefeld University " allows the primary publication of research data.
Country
During the past ten years, CINES historical missions have evolved to encompass the field of long term preservation. The long-term preservation of digital data produced daily is an issue that moves more and more at the heart of current concerns. Also, the last six years have seen the emergence of projects in the public or private sector, in national, European and global level, aimed to develop infrastructure dedicated to the preservation of electronic information. Among these projects, the CINES aims to give the French scientific and technical community a real service for long-term archiving of digital data, which is now operational.
ORA-Data is the University of Oxford's digital catalogue and repository for research data, managed by the Bodleian Libraries. It offers a service to archive, preserve and enable the discovery and sharing of data produced by Oxford researchers. Any type of digital research data – from across all academic disciplines – may be deposited in ORA-Data. We accept any file format. ORA-Data is aimed at researchers who: wish to include an entry for their dataset in the University's catalogue of research data, irrespective of where the data is archived need a repository to deposit research data – especially data that underpins publications, and data where the funding body requires archiving and preservation. ORA-Data sits within the original Oxford Research Archive (ORA) for publications, so that data can be linked easily to – and browsed alongside – related publications.