cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.d58ea3
title: FAIRsharing record for: SPARC Dataset Structure
title: SDS

description: This FAIRsharing record describes:  To ensure SPARC datasets are Findable, Accessible, Interoperable and Reusable (FAIR), they are all submitted to the SPARC portal following a standard file and metadata organizational scheme, called the SPARC Data Structure (SDS). Inspired by the Brain Imaging Data Structure (BIDS), the SDS has been designed to capture the large variety of data generated by SPARC investigators who are coming from all fields of biomedical research. 
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.d11b62
title: FAIRsharing record for: Global.health
title: null

description: This FAIRsharing record describes:  Global.health is the first of its kind, easy-to-use global repository and visualization platform that enables open access to real-time de-identified epidemiological line-list case data. Data about Covid-19, ebola and Monkeypox are available.
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.a6dcff
title: FAIRsharing record for: Nanopublication Schema
title: Nanopub

description: This FAIRsharing record describes:  The Nanopublication schema provides a community-driven approach to representing structured data along with its provenance as small self-contained and citable entities. A nanopublication consists of an assertion, the provenance of the assertion (simply called "provenance"), and the provenance of the whole nanopublication (called "publication info"). Nanopublications are implemented and aligned with Semantic Web technologies, such as RDF, OWL, and SPARQL. The different levels of provenance enable users to assess the trustworthiness of data and provides a mechanism by which authors and institutions may be acknowledged for their contribution to the global knowledge graph. Nanopublications may be used to expose quantitative and qualitative data, as well as hypotheses, claims, negative results, and opinions that usually go unpublished. With nanopublications, it is possible to disseminate individual data as independent publications with or without an accompanying research article.
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.e77632
title: FAIRsharing record for: TERN Data Discovery Portal
title: TDDP

description: This FAIRsharing record describes:  The TERN Data Discovery Portal delivers open-access terrestrial ecosystem datasets from Australia's land ecosystem observatory. TERN is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy. 
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.8cdb5f
title: FAIRsharing record for: DATICE
title: DATICE

description: This FAIRsharing record describes:  DATICE is a data service and archive for Icelandic social science research data. Our goal is to ensure open and free access to high quality data for the research community as well as the general public. The service is located within the Social Science Research Institute (SSRI) at the University of Iceland.
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.9c5ec2
title: FAIRsharing record for: LDbase.org
title: null

description: This FAIRsharing record describes:  LDbase is an NIH-funded collaboration between researchers and librarians to build a first-of-its-kind behavioral data repository containing decades of knowledge from educational and developmental sciences on individuals across the full range of abilities. LDbase is an open science resource for the educational and developmental science scientific communities, providing a secure place to store and access data, as well access materials about aspects of data management and analyses.

LDbase is unique in that it is project oriented, rather than dataset oriented, meeting the needs of how our field thinks about data. What we mean by that is LDbase is hierarchical and flexible. Investigators start with a project page, and from there can add data, code, and documentation in any way that works for their work, including any level of nesting. Any dataset, code, and document can be added as a unique upload, or link to an external webpage. Every project, dataset, code, and document gets a unique citation, including doi if requested.

The aim of LDbase is to be a powerful resource that opens up new areas of research and accelerates discoveries, inspiring innovative research that helps us understand how individuals learn, develop, are different from each other, learn new languages, respond to interventions, and interact with their communities.
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.78b6a6
title: FAIRsharing record for: MorpheusML
title: null

description: This FAIRsharing record describes:  Multicellular spatial models incl. cell behaviors like motility, division and apoptosis as well as cell and tissue mechanics have become an essential tool in quantitative biology and multiple simulation frameworks coexist. The MultiCellML consortium within COMBINE develops model declaration languages and conversion libraries to foster software interoperability and simulation reproducibility. Building on the community‘s practical experiences with multiple simulators for the Cellular Potts Model, we developed MorpheusML as a first step towards MultiCellML and as a prototype standard to test the software infrastructure for sharing multicellular models across simulators. MorpheusML models are already shared at BioModels and other model repositories and they can be loaded, simulated and saved in the simulators Artistoo and Morpheus. Extensions to further simulation frameworks are in progress. 
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.ae3851
title: FAIRsharing record for: CHAVI - Comprehensive Archive of Imaging in Oncology
title: CHAVI

description: This FAIRsharing record describes:  CHAVI - The Comprehensive Archive of Imaging is the first imaging biobank from India with an exclusive focus on Oncological Imaging. CHAVI was designed as a research collaboration between Tata Medical Center, Kolkata and Indian Institute of Technology, Kharagpur. Researchers, academicians and industry are welcome to collaborate and use the wealth of imaging data available in CHAVI subject to our terms and conditions of use. Please note that all users who would like to download the imaging data available in CHAVI will need to complete a user profile, user agreement form as well as provide us with a brief statement of the purpose for which they would like to use these images. All images have been de-identified but certain sets of images may require additional licensing prior to use. Collaborators who would like to contribute imaging data to CHAVI would be provided with a free copy of the CHAVI de-identification system on premises. 
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.b83dd9
title: FAIRsharing record for: MorpheusML model repository
title: null

description: This FAIRsharing record describes:  The public MorpheusML model repository collects, curates, documents and tests computational models for multi-scale and multicellular biological systems. Model must be encoded in the model description language MorpheusML. Subsections of the repository distinguish published models from contributed non-published and example models. New models are simulated in Morpheus or Artistoo independently from the authors and results are compared to published results. Successful reproduction is documented on the model's webpage. Models in this repository are included into the CI and test pipelines for each release of the model simulator Morpheus to check and guarantee reproducibility of results across future simulator updates. The model’s webpage provides a History-link to all past model versions and edits that are automatically tracked via Git. Each model is registered with a unique and persistent ID of the format M..... The model description page (incl. the biological context and key results of that model), the model’s XML file, the associated paper, and all further files (often simulation result videos) connected with that model can be retrieved via a persistent URL of the format https://identifiers.org/morpheus/M.....

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.486d41
title: FAIRsharing record for: Virtual Metabolic Human
title: VMH

description: This FAIRsharing record describes:  The Virtual Metabolic Human (VMH) database captures information on human and gut microbial metabolism, linking to information from hundreds of diseases and nutritional data-related resources (5,607 unique metabolites, 19,313 unique reactions, 3,695 human genes, 255 Mendelian diseases, 818 microbe reconstructions, 632, 685 microbial genes, and 8,790 food items as of 2022-09-19). VMH also contains manually curated genome-scale metabolic reconstructions, which have been assembled based on genomic, biochemical, and physiological data. The VMH helps to facilitate rapid analyses and interpretations of complex biological data arising from large-scaled biomedical studies for enabling complex queries and detailed graphical representations of human metabolism (distributing computational models for simulating human and microbial metabolism). 
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.6a8f6f
title: FAIRsharing record for: QUADRatlas
title: null

description: This FAIRsharing record describes:  QUADRatlas is a database of experimentally-derived and computationally predicted RNA G-quadruplex (RG4s) in the human transcriptome, enriched with biological function and disease associations. QUADRatlas includes known interactions of RG4s with RNA-binding proteins (RBPs), complemented with an extensive RBP binding sites dataset. Users can thus intersect RG4s with their potential regulators and effectors, enabling the formulation of novel hypotheses on RG4 regulation, function and pathogenicity. To support this capability, we provide analysis tools for predicting whether an RBP can bind RG4s, RG4 enrichment in a gene set, and de novo RG4 prediction. Genome-browser and table views allow exploring, filtering, and downloading the data quickly for individual genes and in batch. 
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.6eee69
title: FAIRsharing record for: National Information Exchange Model
title: NIEM

description: This FAIRsharing record describes:  The National Information Exchange Model (NIEM) is a common vocabulary that enables efficient information exchange across diverse public and private organizations with interest in knowledge graph applications.  The NIEM model defines agreed-upon terms, definitions, relationships and formats—independent of how information is stored in individual systems—for data being exchanged. The NIEM model consists of two related vocabularies: core elements that are commonly agreed to by all of the communities who use NIEM, and community-specific elements that align to individual NIEM domains. 
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.85b457
title: FAIRsharing record for: Sextant - Infrastructure de données géographiques marines et littorales
title: null

description: This FAIRsharing record describes:  Sextant is a marine and coastal Geographic Data Infrastructure (GDI) that aims to document, disseminate and promote a catalogue of data relating to the marine environment. For Ifremer's laboratories and partners, as well as national and European actors working in the marine and coastal field, Sextant provides tools to promote and facilitate the archiving, consultation and availability of this geographical data. Data published by Sextant are available free or restricted. They can be used in accordance with the terms of the Creative Commons license selected by the author of data. Sextant infrastructure and the technologies used are in line with the implementation of the INSPIRE Directive and make it possible to follow the Open Data approach. Some data set published by Sextant has a DOI which enables it to be cited in a publication in a reliable and sustainable way. The long-term preservation of data filed in Sextant is ensured by Ifremer infrastructure. It is operated by Scientific Information Systems for the Sea (SISMER) of Ifremer (https://www.ifremer.fr/).
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.724271
title: FAIRsharing record for: The pan-African Open Access Platform
title: AfricArXiv

description: This FAIRsharing record describes:  AfricArXiv is a free community-led digital archive for African research that provides a platform for African scientists to upload their working papers, preprints, accepted manuscripts (post-prints), and published papers. AfricArXiv aims for the dissemination of African scholarly content: 1) to a global audience, and 2) allows for knowledge exchange between African scholars and non-African researchers of African studies and other disciplines by providing options to link data and code along with article versioning. AfricArxiv provides African scientists from all disciplines to share their research outputs, including preprints, postprints, code and data free of cost. 
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.ebbbee
title: FAIRsharing record for: NIH Policy on the Dissemination of NIH-Funded Clinical Trial Information
title: NOT-OD-16-149

description: This FAIRsharing record describes:  The National Institutes of Health (NIH) Policy on Dissemination of NIH-funded Clinical Trial Information establishes the expectation that all NIH-funded awardees and investigators conducting clinical trials, funded in whole or in part by the NIH, will ensure that their NIH-funded clinical trials are registered at, including the summary results information, be submitted to ClinicalTrials.gov for public posting. The purpose of the policy is to promote broad and responsible dissemination of information from NIH-funded clinical trials through ClinicalTrials.gov. 
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.333361
title: FAIRsharing record for: Federal Policy for the Protection of Human Research Subjects
title: Common Rule 45 CFR 46

description: This FAIRsharing record describes:  The U.S. Department of Health & Human Services (HHS) regulations for the protection of human subjects in research at 45 CFR 46, provided by the Office for Human Research Protections, includes five subparts: Subpart A, also known as the Common Rule, provides a robust set of protections for research subjects; subparts B, C, and D provide additional protections for certain populations in research; and subpart E provides requirements for IRB registration. The Common Rule, subpart A, was revised in recent years. Access the regulatory language for all of the subparts using the links below. This collection guidance is provided by the Office for Human Research Protections (OHRP) as an annotated version of the Common Rule that highlights changes between the pre-2018 and 2018 versions of the Common Rule. 
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.742e0e
title: FAIRsharing record for: Aquila
title: null

description: This FAIRsharing record describes:  Aquila is a spatial-omics database and analysis platform that provides visualization and analysis on both spatial transcriptome and proteome 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.469e84
title: FAIRsharing record for: CoreTrustSeal Trustworthy Data Repositories Requirements for Certification
title: null

description: This FAIRsharing record describes:  The CoreTrustSeal Trustworthy Data Repositories Requirements reflect the characteristics of trustworthy repositories. As such, all Requirements are mandatory and are equally weighted, standalone items. Although some overlap is unavoidable, duplication of evidence sought among Requirements has been kept to a minimum where possible. The CoreTrustSeal, launched in 2017, defines requirements and offers core level certification for Trustworthy Data Repositories holding data for long-term preservation. It is the culmination of a cooperative effort between the Data Seal of Approval (DSA) and the World Data System of the International Science Council (WDS), under the umbrella of the Research Data Alliance (RDA), to harmonize their data repository certifications. The CoreTrustSeal Requirements describe the characteristics required to be a trustworthy repository for digital data and metadata. Each Requirement is accompanied by Guidance text describing the response statements and evidence that applicants must provide to enable an objective review. Applicants must respond to all of the Requirements. 

Note:  The 2017 original recommendations from the "RDA Repository Audit and Certification DSA–WDS Partnership WG", who became a maintenance group on 19th April 2022, changed its name to CoreTrustSeal Maintenance WG. The previously named group, Repository Audit and Certification DSA–WDS Partnership WG, finished its term under RDA and delivered its outputs. For those with an interest in the topic of certification, please visit/join the parent Interest Group: RDA/WDS Certification of Digital Repositories IG.
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.7277c0
title: FAIRsharing record for: Spatial transcriptomics annotation at single-cell resolution
title: SAPSCER

description: This FAIRsharing record describes:  SPASCER was designed to help understand the heterogeneity of tissue organizations, region-specific microenvironment, and intercellular interactions across tissue architectures at multiple levels. SPASCER contains datasets from 43 studies, including 1 082 sub-datasets from 16 organ types across four species. scRNA-seq was integrated to deconvolve/map spatial transcriptomics, and processed with spatial cell-cell interaction, gene pattern and pathway enrichment analysis. Cell-cell interactions and gene regulation network of scRNA-seq from matched spatial transcriptomics were performed as well. 
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.