cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.d4bb5f
title: FAIRsharing record for: Federal Enterprise Data Resource Repository
title: Data.gov Resources

description: This FAIRsharing record describes:  Resources.data.gov is an online repository of policies, schema standards, tools, and best practices containing various case studies and other resources to support data governance, management, exchange, and use throughout the federal government. Resources.data.gov is an effort by the Office of Management and Budget, the Office of Government Information Services of the National Archives, and the General Services Administration to provide an online repository of guidance and tools to implement the OPEN Government Data Act and the Federal Data Strategy. resources.data.gov serves a broader purpose as the central repository for Federal Enterprise Data resources and guidance on how to manage and use Federal data. The repository will be frequently updated with additional tools and resources and will be developed in an open, collaborative manner.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.08ee7f
title: FAIRsharing record for: NIH Research Tools Policy
title: null

description: This FAIRsharing record describes:  Recipients of NIH funding conducting biomedical research frequently develop unique research resources, also called research tools. NIH considers research tools to be unique research resource that encompass full range of tools that scientists use in the laboratory, including: cell lines, monoclonal antibodies, reagents, animal models, growth factors, combinatorial chemistry and DNA libraries, clones and cloning tools (such as PCR), methods, laboratory equipment and machines. NIH considers sharing research tools to be an important means for enhancing the value of NIH-sponsored research, and access to research tools is a prerequisite for catalyzing scientific advancement. NIH urges funding recipients to develop patent, license, and material sharing strategies with this goal in mind. 
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.1a0bbf
title: FAIRsharing record for: ERIC/open
title: ERIC-open

description: This FAIRsharing record describes:  The Eawag Research Data Institutional Collection (ERIC) is a CKAN based data repository for the sharing of open research data produced by eawag scientists. 
Eawag, The Swiss Federal Institute of Aquatic Science and Technology, is concerned with concepts and technologies for dealing sustainably with water bodies and with water as a resource. Our repository metadata conforms to Datacite (v4) metadata standards
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.2fe38c
title: FAIRsharing record for: NIH Human BioMolecular Atlas Program Data Portal
title: HuBMAP

description: This FAIRsharing record describes:  The HuBMAP Data Portal is the central resource for discovery, visualization, and download of single-cell tissue data generated by the Human BioMolecular Atlas Program consortium. HuBMAP tools and maps are openly available, inclusice of a standardized data curation and processing workflow ensure that only high quality is released. The HuBMAP Data Portal aims to be an open map of the human body at the cellular level to accelerate efforts to understand the relationships between the organization of cells and tissues, biological function, and human health from fresh, fixed, or frozen healthy human tissue using in situ and dissociative techniques that have high-spatial resolution data.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.5f3df5
title: FAIRsharing record for: Deep-time Digital Earth Data Publisher & Repository
title: DDE Data PR

description: This FAIRsharing record describes:  DDE Data PR is a repository of geoscience data established with the support of Deep-time Digital Earth international big science program (DDE), which is committed to building a resource base for long-term data sharing and data release. Users can provide their research results to consumers in a discoverable, shareable and referential way, provide long-term preservation, sharing and acquisition services for scientific data, and promote the findability, accessibility, interoperability and reusability (FAIR) of data on the basis of protecting the rights and interests of data authors, so as to promote the sharing of geoscience data.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.45990b
title: FAIRsharing record for: Open Archive for Miscellaneous Data
title: OMIX

description: This FAIRsharing record describes:  The Open Archive for Miscellaneous Data (OMIX) database is a data repository developed and maintained by the National Genomics Data Center (NGDC). The database specializes in descriptions of biological studies, including genomic, proteomic, and metabolomic, as well as data that do not fit in the structured archives at other databases in NGDC. It can accept various types of studies described via a simple format and enables researchers to upload supplementary information and link to it from the publication.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.559bc5
title: FAIRsharing record for: The Radboud Data Repository
title: RDR

description: This FAIRsharing record describes:  The Radboud Data Repository (RDR) is an institutional repository for archiving and sharing of data collected, processed, or analyzed by researchers working at or affiliated with the Radboud University (Nijmegen, the Netherlands). The repository allows safe long-term (at least 10 years) storage of large datasets. The RDR promotes findability of datasets by providing a DOI and rich metadata fields and allows researchers to easily manage data access. 
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.d423f4
title: FAIRsharing record for: Rothamsted Long-term Experiments Electronic Archive
title: e-RA

description: This FAIRsharing record describes:  e-RA provides a permanent managed repository and knowledgebase for secure storage of metadata and data from Rothamsted's Long-term Experiments, the oldest, continuous agronomic experiments in the world. Together with the accompanying meteorological records, associated documentation and sample archive, it is a unique historical record of experiments that have been measured continuously since 1843. e-RA provides comprehensive descriptions of Rothamsted's long-term experiments including Broadbalk Wheat, Park Grass Hay, Hoosfield Barley, Rothamsted and Woburn Ley Arables, and Long-term Liming. e-RA maintains long-term routine data collections including crop yields, quality traits, agronomic management, soil chemistry, disease, and botanical diversity. The experiments are available as a research infrastructure to scientists and scientists are encouraged to deposit any new data generated with e-RA.    
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.3b55ce
title: FAIRsharing record for: The Library of Congress - Recommended Formats Statement
title: LOC

description: This FAIRsharing record describes:  The Library of Congress is the largest library in the world, with millions of books, films and video, audio recordings, photographs, newspapers, maps and manuscripts in its collections. The Library is the main research arm of the U.S. Congress and the home of the U.S. Copyright Office. The Library of Congress Recommended Formats Statement identifies hierarchies of the physical and technical characteristics of creative formats, both analog and digital, which will best meet the needs of all concerned, maximizing the chances for survival and continued accessibility of creative content well into the future. Preservation is a top priority of the Library of Congress. Preservation of the world's largest collection is accomplished through a broad range of activities distributed across the Library. Recommended Formats Statement identifies hierarchies of the physical and technical characteristics of creative formats, both analog and digital, which will best meet the needs of all concerned, maximizing the chances for survival and continued accessibility of creative content well into the future.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.88d503
title: FAIRsharing record for: TU Wien Research Data
title: TUWRD

description: This FAIRsharing record describes:  TU Wien Research Data is an institutional repository of TU Wien to enable storing, sharing and publishing of digital objects, in particular research data. It facilitates the funders' requirements for open access to research data and the FAIR principles by making research output findable, accessible, interoperable and re-usable. This service is developed by the TU Wien Center for Research Data Management and hosted by TU.it.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.88520c
title: FAIRsharing record for: Brain Image Library
title: BIL

description: This FAIRsharing record describes:  Brain Image Library (BIL) is an NIH-funded public resource serving the neuroscience community by providing a persistent centralized repository for brain microscopy data. Data scope of the BIL archive includes whole brain microscopy image datasets and their accompanying secondary data such as neuron morphologies, targeted microscope-enabled experiments including connectivity between cells and spatial transcriptomics, and other historical collections of value to the community. The BIL Analysis Ecosystem provides an integrated computational and visualization system to explore, visualize, and access BIL data without having to download it.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.1d4f8b
title: FAIRsharing record for: W3C Web Content Accessibility Guideline International Standards
title: WCAG

description: This FAIRsharing record describes:  The W3C Accessibility Guidelines (WCAG) provide a wide range of recommendations for making web content more accessible to users with disabilities. Following these guidelines will address many of the needs of users with blindness, low vision and other vision impairments; deafness and hearing loss; limited movement and dexterity; speech disabilities; sensory disorders; cognitive and learning disabilities; and combinations of these. These guidelines address accessibility of web content on desktops, laptops, tablets, mobile devices, wearable devices, and other web of things devices. They address various types of web content including static content, interactive content, visual and auditory media, and virtual and augmented reality. The guidelines also address related web tools such as user agents (browsers and assistive technologies), content management systems, authoring tools, and testing tools. This is a Recommendation of the Accessibility Guidelines Working Group.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.30f312
title: FAIRsharing record for: Desirable Characteristics of Data Repositories for Federally Funded Research
title: null

description: This FAIRsharing record describes:  This document aims to improve consistency across Federal departments and agencies in the instructions they provide to researchers about selecting repositories for data resulting from Federally funded research. It identifies a set of desirable characteristics of online, public access data repositories to help ensure that research data are findable, accessible, interoperable, and reusable (FAIR) to the greatest extent possible, while integrating privacy, security, and other protections. Individual departments and agencies may use the characteristics to guide development of further instructions for the research communities they support.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.95d0c4
title: FAIRsharing record for: Arizona State University Research Data Repository
title: ASU Research Data Repository

description: This FAIRsharing record describes:  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.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.bfcfd0
title: FAIRsharing record for: Provisional Cell Ontology
title: PCL

description: This FAIRsharing record describes:  PCL is an ontology created to record claims of potential new cell types derived from single cell data analysis, where there is no additional evidence that supports the addition of corresponding classically defined cell type to the Cell Ontology (CL). PCL hence provides a place for terms that might not be ready for CL.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.2f32de
title: FAIRsharing record for: MediaDive
title: null

description: This FAIRsharing record describes:  Cultivation media are a substantial part of many fields of life sciences and are key for successful cultivation and therefore achieving a deeper understanding of microorganisms. Despite their fundamental importance, cultivation media as data resource are mostly neglected, especially in terms of standardization and availability. We present MediaDive (https://mediadive.dsmz.de), a comprehensive and expert-curated cultivation media database, which comprises recipes, instructions and molecular compositions of almost 3,200 standardized cultivation media for more than 40,000 microbial strains from all domains of life. MediaDive is designed to enable broad range applications from every-day-use in research and diagnostic laboratories to knowledge-driven support of new media design and artificial intelligence-driven data mining. A number of intuitive search and comparison tools is fostering these approaches. External user engagement is covered by a dedicated media builder tool.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.343864
title: FAIRsharing record for: FAIR Implementation Profile Ontology
title: FIP

description: This FAIRsharing record describes:  The FAIR Implementation Profile (FIP) Ontology is an extension of the FAIR Principles Vocabulary, implemented as a formal vocabulary, for describing Nanopublication schema classes, properties and data properties designed for machine-actionable FAIR implementations at the discretion of individual communities of practice. 
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.61ae59
title: FAIRsharing record for: ISO 19135-1:2015 Geographic information — Procedures for item registration — Part 1: Fundamentals
title: ISO 19135-1:2015

description: This FAIRsharing record describes:  ISO 19135-1:2015 specifies procedures to be followed in establishing, maintaining, and publishing registers of unique, unambiguous, and permanent identifiers and meanings that are assigned to items of geographic information. In order to accomplish this purpose, ISO 19135-1:2015 specifies elements that are necessary to manage the registration of these items.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.785d2f
title: FAIRsharing record for: Purdue University Reaserch Repository
title: PURR

description: This FAIRsharing record describes:  PURR is an institutional data repository for the research community of Purdue University. PURR provides capabilities currently required by the NSF and other funding agencies for digital data management such as workflows and tools for collaborating on data-driven research, publishing and archiving data, and ensuring data security, fidelity, backup, and mirroring. PURR comes with a set of policies and functionalities that address privacy and confidentiality, intellectual property, preservation, and access and use of research data. Data published in PURR are assigned Digital Objects Identifiers (DOIs) and exposed to the web using open standards to maximize their discoverability and scholarly reuse. Data producers can review how often their published data are viewed, downloaded, and cited.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.8daaf4
title: FAIRsharing record for: Research Data Scotland Catalogue
title: RDS Catalogue

description: This FAIRsharing record describes:  The Research Data Scotland Catalogue is a government data repository created to improve the economic, social and environmental wellbeing in Scotland by enabling access to and linkage of data about people, places and businesses for research in the public good.

description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.d0307c
title: FAIRsharing record for: Stimulating Peripheral Activity to Relieve Conditions Repository
title: SPARC

description: This FAIRsharing record describes:  The NIH Common Fund’s Stimulating Peripheral Activity to Relieve Conditions (SPARC) program aims to transform our understanding of nerve-organ interactions with the intent of advancing bioelectronic medicine towards treatments that change lives. The SPARC repository was developed as part of the NIH SPARC initiative and has been used by SPARC funded investigator groups to curate and publish high quality datasets related to the autonomic nervous system. As of August 2022, SPARC is accepting datasets from investigators that are not funded through the NIH SPARC program. If you are interested in publishing your scientific data on SPARC and working with our curation team to ensure that your dataset will have significant impact, please reach out by sending an email to curation@sparc.science
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.