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Found 50 result(s)
Yareta is a repository service built on digital solutions for archiving, preserving and sharing research data that enable researchers and institutions of any disciplines to share and showcase their research results. The solution was developed as part of a larger project focusing on Data Life Cycle Management (dlcm.ch) that aims to develop various services for research data management. Thanks to its highly modular architecture, Yareta can be adapted both to small institutions that need a "turnkey" solution and to larger ones that can rely on Yareta to complement what they have already implemented. Yareta is compatible with all formats in use in the different scientific disciplines and is based on modern technology that interconnects with researchers' environments (such as Electronic Laboratory Notebooks or Laboratory Information Management Systems).
Smithsonian figshare is best for sharing data that need a DOI including those that underlie peer-reviewed publications; bounded datasets of mixed formats; or data that is periodically updated and needs to be versioned. See the Figshare Confluence site for more information.
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This repository accepts data from life science researchers and service units in Sweden. The repository is operated by SciLifeLab, which is the national infrastructure for life science and environmental research in Sweden. This repository replaces NBIS DOI repository: https://doi.org/10.17616/R3CW52
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The repository KITopen is a key infrastructure service at KIT. Immediately KITopen not only allows the publication and archiving of publications, but also on research data from all disciplines and data types. The focus is on research data from publication projects that are specifically prepared for re-use.
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DATICE was established in late 2018 and is funded by the University of Iceland's (UI) School of Social Sciences, with a contribution from the university's Centennial Fund. DATICE is the appointed service provider for the Consortium of European Social Science Data Archives (CESSDA ERIC) in Iceland and is located within the UI Social Science Research Institute (SSRI). The main goal of the data service is to ensure open and free access to high quality research data for the research community as well as the general public.
The South African Marine Information Management System (MIMS) is an Open Archival Information System (OAIS) repository that plays a multifaceted role in archiving, publishing, and preserving marine-related datasets. As an IODE-accredited Associate Data Unit (ADU), MIMS serves as a national node for the IODE of the IOC of UNESCO. It archives and publishes collections and subsets of marine-related datasets for the National Department of Forestry, Fisheries, and the Environment (DFFE) and its regional partners. As an IOC member organization, DFFE is committed to supporting the long-term preservation and archival of marine and coastal data for South Africa and its regional partners, promoting open access to data, and encouraging scientific collaboration. Tasked with the long-term preservation of South Africa's marine and coastal data, MIMS functions as an institutional data repository. It provides primary access to all data collected by the DFFE Oceans and Coastal Research Directorate and acts as a trusted broker of scientific marine data for a wide range of South African institutions. MIMS hosts the IODE AFROBIS Node, an OBIS Node that coordinates and collates data management activities within the sub-Saharan African region. As part of the OBIS Steering Group, MIMS represents sub-Saharan Africa on issues around biological (biodiversity) data standards. It also facilitates data and metadata publishing for the region through the GBIF and OBIS networks. Operating on the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles, MIMS aligns its practices to maximize ocean data exchange and use while respecting the conditions stipulated by the Data Provider. By integrating various functions and commitments, MIMS stands as a vital component in the marine and coastal data landscape, fostering collaboration, standardization, and accessibility in alignment with international standards and regional needs.
The TromsĆø Repository of Language and Linguistics (TROLLing) is a FAIR-aligned repository of linguistic data and statistical code. The archive is open access, which means that all information is available to everyone. All data are accompanied by searchable metadata that identify the researchers, the languages and linguistic phenomena involved, the statistical methods applied, and scholarly publications based on the data (where relevant). Linguists worldwide are invited to deposit data and statistical code used in their linguistic research. TROLLing is a special collection within DataverseNO (http://doi.org/10.17616/R3TV17), and C Centre within CLARIN (Common Language Resources and Technology Infrastructure, a networked federation of European data repositories; http://www.clarin.eu/), and harvested by their Virtual Language Observatory (VLO; https://vlo.clarin.eu/).
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RADAR offers researchers at publicly funded universities and non-academic research institutions in Germany a customized and user-friendly repository for archiving and publication of research data independent of discipline and format. The administration of the service, the individual workflows for uploading, organising and annotating the research data with metadata as well as the curation of the datasets and optional quality assurance through peer review are the responsibility of the using institution. For data archiving, data providers can flexibly choose retention periods (5, 10, 15 years) and define access rights. Published datasets are kept for at least 25 years, they are always assigned a DOI via DataCite and can thus be internationally identified and cited. RADAR is operated exclusively on servers in Germany. The data are stored in three copies at two locations. All contracts are subject to German law.
The ADS is an accredited digital repository for heritage data that supports research, learning and teaching with freely available, high quality and dependable digital resources by preserving and disseminating digital data in the long term. The ADS also promotes good practice in the use of digital data, provides technical advice to the heritage community, and supports the deployment of digital technologies.
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The National Tibetan Plateau/Third Pole Environment Data Center (TPDC) is one of a first group of 20 national data centers approved by the Ministry of Science and Technology of China in 2019. It possesses the most comprehensive scientific data on the Tibetan Plateau and surrounding regions of any data centers in China. TPDC provides online and offline data download services according to TPDC data Sharing Protocol with bilingual of Chinese and English (https://data.tpdc.ac.cn/). There are more than 2400 datasets, covering geography, atmospheric science, cryospheric science, hydrology, ecology, geology, geophysics, natural resource science, social economy, and other fields. There are more than 30000 registered users. TPDC complies with the principle of ā€œFindable, Accessible, Interoperable, and Reusable (FAIR)ā€, and has adopted a series of measures to protect the intellectual property by giving credit to data providers. Digital Object Identifiers (DOI) are used for scientific data access, tracking, and citation. The Creative Commons 4.0 protocol is used for data re-distribution and re-use. Data users are required to cite the datasets and provide necessary acknowledgement in order to give credit to data authors as journal papers. The data citation references are provided on the TPDC landing page of each dataset.
The Maine Dataverse Network is a cloud-based data repository intended to act as a long-term archive and to facilitate data sharing among the research community in accordance with NSF, NIH, NASA and other granting authority data management plan requirements. The Maine Dataverse Network offers a convenient and secure method of sharing and archiving data and is made available to the Maine research community at no cost.
ReDATA is the research data repository for the University of Arizona and a sister repository to the UA Campus Repository (which is intended for document-based materials). The UA Research Data Repository (ReDATA) serves as the institutional repository for non-traditional scholarly outputs resulting from research activities by University of Arizona researchers. Depositing research materials (datasets, code, images, videos, etc.) associated with published articles and/or completed grants and research projects, into ReDATA helps UA researchers ensure compliance with funder and journal data sharing policies as well as University data retention policies. ReDATA is designed for materials intended for public availability.
HELIX DATA is an integral component of the Hellenic Data Service "HELIX" supporting knowledge management and scholarly communication in Greece. HELIX DATA is the data catalogue and repository, with a dual role to store and preserve data that are self-deposited by researchers as well as to harvest data records from other national data sources and catalogues.
figshare allows researchers to publish all of their research outputs in an easily citable, sharable and discoverable manner. All file formats can be published, including videos and datasets. Optional peer review process. figshare uses creative commons licensing. figshare+ repository allows figshare users to share larger datasets, over 20GB up to many TBs, see: https://plus.figshare.com/
ZENODO builds and operates a simple and innovative service that enables researchers, scientists, EU projects and institutions to share and showcase multidisciplinary research results (data and publications) that are not part of the existing institutional or subject-based repositories of the research communities. ZENODO enables researchers, scientists, EU projects and institutions to: easily share the long tail of small research results in a wide variety of formats including text, spreadsheets, audio, video, and images across all fields of science. display their research results and get credited by making the research results citable and integrate them into existing reporting lines to funding agencies like the European Commission. easily access and reuse shared research results.
Online storage, sharing and registration of research data, during the research period and after its completion. DataverseNL is a shared service provided by participating institutions and DANS.
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RADAR4Chem is a low-threshold and easy-to use service for sustainable publication and preservation of research data from all disciplines of chemistry. It offers free publication for any data type and format according to the FAIR principles, independent of the researcherĀ“s institutional affiliation. Through persistent identifiers (DOI) and a guaranteed retention period of at least 25 years, the research data remain available, citable and findable long-term. Currently, the offer is aimed exclusively at researchers in the field of chemistry at publicly funded research institutions and universities in Germany. No contract is required and no data publication fees are charged. The researchers are responsible for the upload, organisation, annotation and curation of research data as well as the peer-review process (as an optional step) and finally their publication.
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Sciflection accepts structured data directly uploaded from Electronic Laboratory Notebooks (open enventory, Sciformation ELN, open for others) in JSON format. Searchable by chemical structure, text parts, numeric parameters, etc.
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Geoscientific Data & Discovery Publishing Center (GDD) is based on the geological scientific data generated globally, establishing policies and systems for the scientific data publishing, absorbing the concepts and methods of international open data, and joint Digital Object Unique Identifier-DOI registration agencies to provide standard data reference formats and permanent access address for data references, doing publishing through the Internet platform, which combines innovation and advance. GDD mainly includes data descriptor and entity data publishing. The data papers describe entity data and corresponding metadata information. The entity data includes common shared data such as geographic information, geologic maps, and databases, and also includes multiple data types, such as documents, archive records, data forms and other multimedia formed during geological work, various data-centric applications, database interface services, and typical data services.
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.