Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Certificates

Data access

Data access restrictions

Database access

Database access restrictions

Database licenses

Data licenses

Data upload

Data upload restrictions

Enhanced publication

Institution responsibility type

Institution type

Keywords

Metadata standards

PID systems

Provider types

Quality management

Repository languages

Software

Syndications

Repository types

Versioning

  • * at the end of a keyword allows wildcard searches
  • " quotes can be used for searching phrases
  • + represents an AND search (default)
  • | represents an OR search
  • - represents a NOT operation
  • ( and ) implies priority
  • ~N after a word specifies the desired edit distance (fuzziness)
  • ~N after a phrase specifies the desired slop amount
Found 62 result(s)
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.
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/.
Country
The Research Data Center for Higher Education Research and Science Studies (FDZ-DZHW) at the German Centre for Higher Education Research and Science Studies (DZHW) in Hannover provides the scientific community with quantitative and qualitative research data from the field of higher education and science studies for research and teaching purposes. The data pool of the Research Data Centre is based on two sources: Firstly, it contains the current surveys of the panels conducted in-house (especially DZHW Graduate Panel, Social Survey, DZHW Panel Study of School Leavers with a Higher Education Entrance Qualification, DZHW Scientists Survey), which are integrated by default. Secondly, the Research Data Centre constantly processes, documents and integrates inventory data of the DZHW and its prior organisations. External data from the research area is also integrated into the FDZ data pool.
Country
The Research Data Centre (Forschungsdatenzentrum, FDZ) at the Institute for Educational Quality Improvement (Institut zur Qualitätsentwicklung im Bildungswesen, IQB) archives and documents data sets resulting from national and international assessment studies (such as DESI, PIRLS, PISA, IQB-Bildungstrends). Moreover, the FDZ makes these data sets available for re- and secondary analysis. Members of the scientific community can apply for access to the data sets archived at the FDZ.
Country
In the framework of the Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation’ (CRC/TR32, www.tr32.de), funded by the German Research Foundation from 2007 to 2018, a RDM system was self-designed and implemented. The so-called CRC/TR32 project database (TR32DB, www.tr32db.de) is operating online since early 2008. The TR32DB handles all data including metadata, which are created by the involved project participants from several institutions (e.g. Universities of Cologne, Bonn, Aachen, and the Research Centre Jülich) and research fields (e.g. soil and plant sciences, hydrology, geography, geophysics, meteorology, remote sensing). The data is resulting from several field measurement campaigns, meteorological monitoring, remote sensing, laboratory studies and modelling approaches. Furthermore, outcomes of the scientists such as publications, conference contributions, PhD reports and corresponding images are collected in the TR32DB.
All ADNI data are shared without embargo through the LONI Image and Data Archive (IDA), a secure research data repository. Interested scientists may obtain access to ADNI imaging, clinical, genomic, and biomarker data for the purposes of scientific investigation, teaching, or planning clinical research studies. "The Alzheimer’s Disease Neuroimaging Initiative (ADNI) unites researchers with study data as they work to define the progression of Alzheimer’s disease (AD). ADNI researchers collect, validate and utilize data, including MRI and PET images, genetics, cognitive tests, CSF and blood biomarkers as predictors of the disease. Study resources and data from the North American ADNI study are available through this website, including Alzheimer’s disease patients, mild cognitive impairment subjects, and elderly controls. "
Country
Gambling Research Exchange Ontario (GREO) is a knowledge translation and exchange organization that aims to eliminate harm from gambling. Our goal is to support evidence-informed decision making in responsible gambling policies, standards and practices. In line with this mandate, datasets curated in this archive relate to gambling and reducing gambling related harms.
The ODIN Portal hosts scientific databases in the domains of structural materials and hydrogen research and is operated on behalf of the European energy research community by the Joint Research Centre, the European Commission's in-house science service providing independent scientific advice and support to policies of the European Union. ODIN contains engineering databases (Mat-Database, Hiad-Database, Nesshy-Database, HTR-Fuel-Database, HTR-Graphit-Database) and document management sites and other information related to European research in the area of nuclear and conventional energy.
Country
The arctic data archive system (ADS) collects observation data and modeling products obtained by various Japanese research projects and gives researchers to access the results. By centrally managing a wide variety of Arctic observation data, we promote the use of data across multiple disciplines. Researchers use these integrated databases to clarify the mechanisms of environmental change in the atmosphere, ocean, land-surface and cryosphere. That ADS will be provide an opportunity of collaboration between modelers and field scientists, can be expected.
The Humanitarian Data Exchange (HDX) is an open platform for sharing data across crises and organisations. Launched in July 2014, the goal of HDX is to make humanitarian data easy to find and use for analysis. HDX is managed by OCHA's Centre for Humanitarian Data, which is located in The Hague. OCHA is part of the United Nations Secretariat and is responsible for bringing together humanitarian actors to ensure a coherent response to emergencies. The HDX team includes OCHA staff and a number of consultants who are based in North America, Europe and Africa.
Lithuania became a full member of CLARIN ERIC in January of 2015 and soon CLARIN-LT consortium was founded by three partner universities: Vytautas Magnus University, Kaunas Technology University and Vilnius University. The main goal of the consortium is to become a CLARIN B centre, which will be able to serve language users in Lithuania and Europe for storing and accessing language resources.
The Global Hydrology Resource Center (GHRC) provides both historical and current Earth science data, information, and products from satellite, airborne, and surface-based instruments. GHRC acquires basic data streams and produces derived products from many instruments spread across a variety of instrument platforms.
Country
Research Data Centres offer a secure access to detailed microdata from Statistics Canada's surveys, and to Canadian censuses' data, as well as to an increasing number of administrative data sets. The search engine was designed to help you find out more easily which dataset among all the surveys available in the RDCs best suits your research needs.
In collaboration with other centres in the Text+ consortium and in the CLARIN infrastructure, the CLARIND-UdS enables eHumanities by providing a service for hosting and processing language resources (notably corpora) for members of the research community. CLARIND-UdS centre thus contributes of lifting the fragmentation of language resources by assisting members of the research community in preparing language materials in such a way that easy discovery is ensured, interchange is facilitated and preservation is enabled by enriching such materials with meta-information, transforming them into sustainable formats and hosting them. We have an explicit mission to archive language resources especially multilingual corpora (parallel, comparable) and corpora including specific registers, both collected by associated researchers as well as researchers who are not affiliated with us.
<<<!!!<<< This record is merged into Continental Scientific Drilling Facility https://www.re3data.org/repository/r3d100012874 >>>!!!>>> LacCore curates cores and samples from continental coring and drilling expeditions around the world, and also archives metadata and contact information for cores stored at other institutions.LacCore curates cores and samples from continental coring and drilling expeditions around the world, and also archives metadata and contact information for cores stored at other institutions.
Country
NAKALA is a repository dedicated to SSH research data in France. Given its generalist and multi-disciplinary nature, all types of data are accepted, although certain formats are recommended to ensure longterm data preservation. It has been developed and is hosted by Huma-Num, the French national research infrastructure for digital humanities.
The Integrated Catalogue (InK) of Mediathek of the Basel Academy of Art and Design (Hochschule für Gestaltung und Kunst Basel, HGK) hosts, collects, archives and makes available digital resources of HGK and its digital, special collections. It is available both to members of the Academy of Applied Sciences of Northwestern Switzerland (Fachhochschule Nordwestschweiz, FHNW) to which the HGK belongs and to the general public. In addition to data for internal university use (login area), there is a large amount of unrestricted, freely accessible content. The thematic focus is on contemporary art and design, art and design research, and topics related to the HGK. The sources cover a wide range of media: in addition to thesis and PDFs based documents, there are cluster objects, which assign several images, videos, audio and/or text files to a defined data set. The InK serves as an institutional repository for research data management and as a platform for hybrid publications.
The gift of the Stowell Datasets, a digital archive of psychographic data, to the College of Liberal Arts (and continued gift of new datasets) provide a unique opportunity for WSU to facilitate access to a valuable research resource. The datasets include over 350 individual major media market surveys (CATI, Random Digit Dialing telephone surveys) collected over the period 1989-2001 and feature approximately n=1,000+ respondents for each market for each year.
The Polinsky Language Sciences Lab at Harvard University is a linguistics lab that examines questions of language structure and its effect on the ways in which people use and process language in real time. We engage in linguistic and interdisciplinary research projects ourselves; offer linguistic research capabilities for undergraduate and graduate students, faculty, and visitors; and build relationships with the linguistic communities in which we do our research. We are interested in a broad range of issues pertaining to syntax, interfaces, and cross-linguistic variation. We place a particular emphasis on novel experimental evidence that facilitates the construction of linguistic theory. We have a strong cross-linguistic focus, drawing upon English, Russian, Chinese, Korean, Mayan languages, Basque, Austronesian languages, languages of the Caucasus, and others. We believe that challenging existing theories with data from as broad a range of languages as possible is a crucial component of the successful development of linguistic theory. We investigate both fluent speakers and heritage speakers—those who grew up hearing or speaking a particular language but who are now more fluent in a different, societally dominant language. Heritage languages, a novel field of linguistic inquiry, are important because they provide new insights into processes of linguistic development and attrition in general, thus increasing our understanding of the human capacity to maintain and acquire language. Understanding language use and processing in real time and how children acquire language helps us improve language study and pedagogy, which in turn improves communication across the globe. Although our lab does not specialize in language acquisition, we have conducted some studies of acquisition of lesser-studied languages and heritage languages, with the purpose of comparing heritage speakers to adults.
The Social Science Data Archive is still active and maintained as part of the UCLA Library Data Science Center. SSDA Dataverse is one of the archiving opportunities of SSDA, the others are: Data can be archived by SSDA itself or by ICPSR or by UCLA Library or by California Digital Library. The Social Science Data Archives serves the UCLA campus as an archive of faculty and graduate student survey research. We provide long term storage of data files and documentation. We ensure that the data are useable in the future by migrating files to new operating systems. We follow government standards and archival best practices. The mission of the Social Science Data Archive has been and continues to be to provide a foundation for social science research with faculty support throughout an entire research project involving original data collection or the reuse of publicly available studies. Data Archive staff and researchers work as partners throughout all stages of the research process, beginning when a hypothesis or area of study is being developed, during grant and funding activities, while data collection and/or analysis is ongoing, and finally in long term preservation of research results. Our role is to provide a collaborative environment where the focus is on understanding the nature and scope of research approach and management of research output throughout the entire life cycle of the project. Instructional support, especially support that links research with instruction is also a mainstay of operations.
The database aims to bridge the gap between agent repositories and studies documenting the effect of antimicrobial combination therapies. Most notably, our primary aim is to compile data on the combination of antimicrobial agents, namely natural products such as AMP. To meet this purpose, we have developed a data curation workflow that combines text mining, manual expert curation and graph analysis and supports the reconstruction of AMP-Drug combinations.
Country
aviDa is the RDC for audio-visual data of empirical qualitative social research at the Department of General Sociology at the Technische Universität Berlin, developed in cooperation between the Technische Universität Berlin and the University of Bayreuth. aviDa aims at opening and sharing videographic research data since 2018.
Country
mdw Repository provides researchers with a robust infrastructure for research data management and ensures accessibility of research data during and after completion of research projects, thus, providing a quality boost to contemporary and future research.