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Found 5 result(s)
University of Alberta Dataverse is a service provided by the University of Albert Library to help researchers publish, analyze, distribute, and preserve data and datasets. Open for University of Alberta-affiliated researchers to deposit data.
The Comparative Agendas Project (CAP) assembles and codes information on the policy processes of governments from around the world. CAP enables scholars, students, policy-makers and the media to investigate trends in policy-making across time and between countries. It classifies policy activities into a single, universal and consistent coding scheme.
The Language Archive at the Max Planck Institute in Nijmegen provides a unique record of how people around the world use language in everyday life. It focuses on collecting spoken and signed language materials in audio and video form along with transcriptions, analyses, annotations and other types of relevant material (e.g. photos, accompanying notes).
Mulce (MUltimodal contextualized Learner Corpus Exchange) is a research project supported by the National Research Agency (ANR programme: "Corpus and Tools in the Humanities", ANR-06-CORP-006). A teaching corpus (LETEC - Learning and Teaching Corpora) combines a systematic and structured data set, particularly of interactional data, and traces left by a training course experimentation, conducted partially or completely online and completed by additional technical, human, pedagogical and scientific information to enable the data to be analysed in context.
e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio MadroƱo, in order to give visibility to these data, to ensure its preservation And facilitate their access and reuse. e-cienciaDatos is structured as a system constituted by different communities that collects datasets of each of the individual universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.