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Found 1215 result(s)
The Buckeye Corpus of conversational speech contains high-quality recordings from 40 speakers in Columbus OH conversing freely with an interviewer. The speech has been orthographically transcribed and phonetically labeled. The audio and text files, together with time-aligned phonetic labels, are stored in a format for use with speech analysis software (Xwaves and Wavesurfer). Software for searching the transcription files is currently being written.
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The Canadian Opinion Research Archive at Queen's University makes available commercial and independent surveys to the academic, research and journalistic communities. Founded in 1992, CORA contains hundreds of surveys including thousands of discrete items collected by major commercial Canadian firms dating back to the 1970s. CORA is continually adding new surveys and is always soliciting new data from commercial research firms, independent think tanks, research institutes, NGOs, and academic researchers. This website also includes readily accessible results from these surveys, tracking Canadian opinion over time on frequently asked survey questions, as well as tabular results from recent Canadian surveys, and more general information on polling. This material is made available as a public service by CORA and its partners.
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The Repositorio de Datos de Investigación del Consejo Nacional de Investigaciones Científicas y Técnicas is a plataform of open access centralized in the storage, preservation and difusion of research data, which facilitates the access and reutilization of the scientific information created and self-archived by organism's researchers, fellowships and support staff.
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Welcome to the transparency portal of the city of Karlsruhe, your central contact point for open data and documents of the city of Karlsruhe. On this portal you will find documents and reports as well as machine-readable data sets ("open data"). You may - under a few conditions - distribute, edit and also commercially use this information free of charge. We are happy if interesting projects arise from this - and if you tell us about your project. The information offered is constantly being expanded.
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Intellectum is the Institutional Repository of the University of La Sabana, has been created to manage, preserve and disseminate the intellectual, scientific, cultural and historical production of the university community.
TiU Dataverse is the central online repository for research data at Tilburg University. The TiU Dataverse is managed by the Research Data Office (RDO) at Library and IT Services (LIS). TiU Dataverse takes part of the DataverseNL network. DataverseNL is a shared data service of several Dutch universities and institutions. The data management is in the hands of the member organizations, while the national organization Data Archiving and Networked Services (DANS) manages the network
The Arizona State University (ASU) Research Data Repository provides a platform for ASU-affiliated researchers to share, preserve, cite, and make research data accessible and discoverable. The ASU Research Data Repository provides a permanent digital identifier for research data, which complies with data sharing policies. The repository is powered by the Dataverse open-source application, developed and used by Harvard University. Both the ASU Research Data Repository and the KEEP Institutional Repository are managed by the ASU Library to ensure research produced at Arizona State University is discoverable and accessible to the global community.
META-SHARE, the open language resource exchange facility, is devoted to the sustainable sharing and dissemination of language resources (LRs) and aims at increasing access to such resources in a global scale. META-SHARE is an open, integrated, secure and interoperable sharing and exchange facility for LRs (datasets and tools) for the Human Language Technologies domain and other applicative domains where language plays a critical role. META-SHARE is implemented in the framework of the META-NET Network of Excellence. It is designed as a network of distributed repositories of LRs, including language data and basic language processing tools (e.g., morphological analysers, PoS taggers, speech recognisers, etc.). Data and tools can be both open and with restricted access rights, free and for-a-fee.
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The DDD, the UAB Digital Repository of Documents, is the tool that collects, manages, disseminates and preserves the scientific, educational and institutional production of the University. It also gathers digital documents that are part of or complement UAB libraries collections. The DDD repository shows an organized, open access and interoperable collection. The Universitat Autònoma de Barcelona (UAB) acknowledges the importance of research data and the need for a policy aimed at promoting its visibility and reuse. This policy was drawn up by the Open Access Commission and was approved by the University Governing Council on 11 March 2020.
The goal of the Center of Estonian Language Resources (CELR) is to create and manage an infrastructure to make the Estonian language digital resources (dictionaries, corpora – both text and speech –, various language databases) and language technology tools (software) available to everyone working with digital language materials. CELR coordinates and organises the documentation and archiving of the resources as well as develops language technology standards and draws up necessary legal contracts and licences for different types of users (public, academic, commercial, etc.). In addition to collecting language resources, a system will be launched for introducing the resources to, informing and educating the potential users. The main users of CELR are researchers from Estonian R&D institutions and Social Sciences and Humanities researchers all over the world via the CLARIN ERIC network of similar centers in Europe. Access to data is provided through different sites: Public Repository https://entu.keeleressursid.ee/public-document, Language resources https://keeleressursid.ee/en/resources/corpora, and MetaShare CELR https://metashare.ut.ee/.
The African Development Bank Group (AfDB) is committed to supporting statistical development in Africa as a sound basis for designing and managing effective development policies for reducing poverty on the continent. Reliable and timely data is critical to setting goals and targets as well as evaluating project impact. Reliable data constitutes the single most convincing way of getting the people involved in what their leaders and institutions are doing. It also helps them to get involved in the development process, thus giving them a sense of ownership of the entire development process. The AfDB has a large team of researchers who focus on the production of statistical data on economic and social situations. The data produced by the institution’s statistics department constitutes the background information in the Bank’s flagship development publications. Besides its own publication, the AfDB also finances studies in collaboration with its partners. The Statistics Department aims to stand as the primary source of relevant, reliable and timely data on African development processes, starting with the data generated from its current management of the Africa component of the International Comparison Program (ICP-Africa). The Department discharges its responsibilities through two divisions: The Economic and Social Statistics Division (ESTA1); The Statistical Capacity Building Division (ESTA2)
The Linguistic Data Consortium (LDC) is an open consortium of universities, libraries, corporations and government research laboratories. It was formed in 1992 to address the critical data shortage then facing language technology research and development. Initially, LDC's primary role was as a repository and distribution point for language resources. Since that time, and with the help of its members, LDC has grown into an organization that creates and distributes a wide array of language resources. LDC also supports sponsored research programs and language-based technology evaluations by providing resources and contributing organizational expertise. LDC is hosted by the University of Pennsylvania and is a center within the University’s School of Arts and Sciences.
ALSPAC is a longitudinal birth cohort study which enrolled pregnant women who were resident in one of three Bristol-based health districts in the former County of Avon with an expected delivery date between 1st April 1991 and 31st December 1992. Around 14,000 pregnant women were initially recruited. Detailed information has been collected on these women, their partners and subsequent children using self-completion questionnaires, data extraction from medical notes, linkage to routine information systems and from hands-on research clinics. Additional cohorts of participants have since been enrolled in their own right including fathers, siblings, children of the children and grandparents of the children. Ethical approval for the study was obtained from the ALSPAC Ethics and Law Committee (IRB00003312) and Local Research Ethics.
The Pacific Islands Families (PIF) Study is an ongoing longitudinal birth cohort study that has been tracking the health and development of 1,398 Pacific children and their parents since the children were born at Middlemore Hospital in South Auckland in the year 2000. It is the only prospective study specifically of Pacific peoples in the world.
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REGARDS is an observational study of risk factors for stroke in adults 45 years or older. 30,239 participants were recruited between January 2003 and October 2007. They completed a telephone interview followed by an in-home physical exam. Measurements included traditional risk factors such as blood pressure and cholesterol levels, and an echocardiogram of the heart. At six month intervals, participants are contacted by phone to ask about stroke symptoms, hospitalizations and general health status. The study is ongoing and will follow participants for many years.
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The University of Northern British Columbia Dataverse is a research data repository for research data from UNBC researchers. Files are held in a secure environment on Canadian servers. The platform makes it possible for researchers to deposit data, create appropriate metadata, and version documents as they work. Researchers can choose to make content available publicly, to specific individuals, or to keep it locked.
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As part of Halifax Regional Municipality’s commitment to improving citizen engagement and enhancing transparency and accountability to its residents, the municipality is pleased to provide public access to its data. Open Data is a permanent service provided to citizens and businesses to access data free of charge in machine readable format.
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The Universidad del Rosario Research data repository is an institutional iniciative launched in 2019 to preserve, provide access and promote the use of data resulting from Universidad del Rosario research projects. The Repository aims to consolidate an online, collaborative working space and data-sharing platform to support Universidad del Rosario researchers and their collaborators, and to ensure that research data is available to the community, in order to support further research and contribute to the democratization of knowledge. The Research data repository is the heart of an institutional strategy that seeks to ensure the generation of Findable, Accessible, Interoperable and Reusable (FAIR) data, with the aim of increasing its impact and visibility. This strategy follows the international philosophy of making research data “as open as possible and as closed as necessary”, in order to foster the expansion, valuation, acceleration and reusability of scientific research, but at the same time, safeguard the privacy of the subjects. The platform storage, preserves and facilitates the management of research data from all disciplines, generated by the researchers of all the schools and faculties of the University, that work together to ensure research with the highest standards of quality and scientific integrity, encouraging innovation for the benefit of society.
DMU Figshare is De Montfort University's institutional research data management platform. It showcases research from staff at the university.
UNC Dataverse is an open-source repository software application for archiving, sharing, and accessing research data of all kinds. Each dataverse within the larger repository contains a multitude of datasets, and each dataset contains descriptive metadata and data files. UNC Dataverse is hosted by Odum Institute for Research in Social Science.
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Etsin is a research data finder that contains descriptive information – that is, metadata – on research datasets. In the service you can search and find data from various fields of research. A researcher, research group or organisation can use Etsin to publish information on their datasets and offer them for wider use. The metadata contained in Etsin makes it easy for anyone to discover the datasets. Etsin assigns a permanent URN identifier to datasets, making it possible to link to the dataset and gather merit through its publication and use. The metadata enables users to search for datasets and evaluate the potential for reuse. Etsin includes a description of the dataset, keywords and various dataset identifiers. The dataset information includes, for example, its subject, language, author, owner and how it is licensed for reuse. Good description of data plays an important role in its discoverability and visibility. Etsin encourages comprehensive descriptions by adapting a common set of discipline independent metadata fields and by making it easy to enter metadata. Etsin only collects metadata on datasets, not the data themselves. Anyone may browse and read the metadata. Etsin can be used with a browser or through an open interface (API). The service is discipline independent and free to use. Etsin is a service provided by the Ministry of Education and Culture to actors in the Finnish research system. The service is produced by CSC – IT Center for Science (CSC). Customer service contacts and feedback is available through servicedesk@csc.fi. The service maintenance window is on the fourth Monday of every month between 4 and 6 PM (EET). During that time, the service will be out of use.
ORTOLANG is an EQUIPEX project accepted in February 2012 in the framework of investissements d’avenir. Its aim is to construct a network infrastructure including a repository of language data (corpora, lexicons, dictionaries etc.) and readily available, well-documented tools for its processing. Expected outcomes comprize: promoting research on analysis, modelling and automatic processing of our language to their highest international levels thanks to effective resource pooling; facilitating the use and transfer of resources and tools set up within public laboratories to industrial partners, notably SMEs which often cannot develop such resources and tools for language processing given the cost of investment; promoting French language and the regional languages of France by sharing expertise acquired by public laboratories. ORTOLANG is a service for the language, which is complementary to the service offered by Huma-Num (très grande infrastructure de recherche). Ortolang gives access to SLDR for speech, and CNRTL for text resources.
The MRC National Survey of Health and Development 1946 (NSHD) was the first ever British birth cohort study. It has collected information from birth to the current day on the health and life circumstances of five and a half thousand men and women born during a week in March 1946 throughout England, Wales, and Scotland. The study explores differences in child development by factors like social class, biological factors, health and education. Due to the length of the study it has developed into a study of ageing.
The Mexican Health and Aging Study (MHAS) started as a prospective panel study of health and aging in Mexico. MHAS is nationally representative of the 13 million Mexicans born prior to 1951. The survey has national and urban/rural representation. The baseline survey, in 2001, included a nationally representative sample of Mexicans aged 50 and over and their spouse/partners regardless of their age. A direct interview was sought with each individual and proxy interviews were obtained when poor health or temporary absence precluded a direct interview. The sample was distributed in all 32 states of the country in urban and rural areas. Households in the six states which account for 40% of all migrants to the U.S. were over-sampled. A sub-sample was selected to obtain anthropometric measures.