cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.b6b091
title: FAIRsharing record for: Yale University Open Data Access Project
title: YODA Project

description: This FAIRsharing record describes:  The Yale University Open Data Access (YODA) Project at the Center for Outcomes Research and Evaluation advocates for the responsible sharing of clinical research data. The Project is committed to open science and data transparency, and supports research attempting to produce concrete benefits to patients, the medical community, and society as a whole. Through experience and input from the public and stakeholders, the YODA Project has iteratively developed a model to make data available to researchers in a sustainable way, in which data sharing becomes a part of the clinical research enterprise of the future. The mission of the YODA Project is to not only increase access to clinical research data, but to promote its use to generate new knowledge.
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.33dccb
title: FAIRsharing record for: Medical Imaging and Data Resource Center
title: MIDRC

description: This FAIRsharing record describes:  Representatives of the American College of Radiology® (ACR®), the Radiological Society of North America (RSNA), and the American Association of Physicists in Medicine (AAPM) have jointly developed the  Medical Imaging and Data Resource Center (MIDRC) for rapid and flexible collection, artificial intelligence analysis, and dissemination of imaging and associated data. MIDRC is hosted at the University of Chicago. 

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.6fba91
title: FAIRsharing record for: Beacon
title: beacon

description: This FAIRsharing record describes:  Beacon v2 is a protocol/specification established by the Global Alliance for Genomics and Health initiative (GA4GH) that defines an open standard for federated discovery of genomic data and associated information in biomedical research and clinical applications. The Beacon v2 standard - a major update from the original GA4GH Beacon first proposed in 2014 - was accepted by GA4GH in April 2022. Beacon v2 consists of two components, the Framework and the Models. The Framework contains the format for the requests and responses, whereas the Models define the structure of the biological data response.
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.984218
title: FAIRsharing record for: Research Data Unipd
title: null

description: This FAIRsharing record describes:  Research Data Unipd is a data archive and supports research produced by the members of the University of Padua. The service aims to facilitate data discovery, data sharing, and reuse, as required by funding institutions (eg. European Commission). Datasets published in the archive have a set of metadata that ensure proper description and discoverability. 
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.4e974a
title: FAIRsharing record for: KonDATA
title: null

description: This FAIRsharing record describes:  KonDATA is the research data repository of the University of Konstanz. This service offered by KIM provides members of the University of Konstanz with the simple and convenient option of publishing research data in a way that is FAIR, visible and citable in the long term.
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.c0e869
title: FAIRsharing record for: Minimal Information Reporting About a Cell
title: MIRACL

description: This FAIRsharing record describes:  The Minimal Information Reporting About a Cell (MIRACL) standard aims to bridge the  gap between natural language reports and formal ontologies of new cell types/states/classes. The standard currently outlines four free-text fields (label, diagnostic description, reference, and additional information) and three formal fields (scientific taxon, UBERON anatomical structure, and Cell Ontology superclass). It is in a mature version, but nevertheless open to contributors.
A longer description of the standard is available at https://arxiv.org/pdf/2204.09673.pdf. 
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.d3c5fd
title: FAIRsharing record for: ROHub
title: ROHub

description: This FAIRsharing record describes:  ROHub is a holistic solution for the storage, lifecycle management and preservation of scientific investigations, campaigns and operational processes via research objects. It makes these resources available to others, allows to publish and release them through a DOI, and allows to discover and reuse pre-existing scientific knowledge. Built entirely around the research object concept and inspired by sustainable software management principles, ROHub is the reference platform implementing natively the full research object model and paradigm, which provides the backbone to a wealth of RO-centric applications and interfaces across different scientific 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.f0a5f4
title: FAIRsharing record for: FAIR Principles for Research Software
title:  FAIR4RS

description: This FAIRsharing record describes:  To improve the sharing and reuse of research software, the FAIR for Research Software (FAIR4RS) Working Group has applied the FAIR Guiding Principles for scientific data management and stewardship to research software, bringing together existing and new community efforts. Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the principles. This document presents the first version of the RDA FAIR Principles for Research Software (FAIR4RS) Principles, and includes explanatory text to aid adoption. It is an outcome of the FAIR for Research Software Working Group (FAIR4RS WG) based on community consultations that started in 2019. The FAIR4RS WG is jointly convened as a Research Data Alliance (RDA) Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Task Force.
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.f82056
title: FAIRsharing record for: SeaDataNet Data Products catalogue
title: SDN Data Products Catalogue

description: This FAIRsharing record describes:  SeaDataNet provides different types of data products from its database: 
•	harmonised and quality controlled aggregated datasets (ODV collections of all SeaDataNet measurements of temperature and salinity by sea basins) 
•	derived climatologies (regional gridded field products based on the aggregated datasets) 
Both types of data products are created for all the European sea basins, namely: Arctic Ocean, Baltic Sea, Black Sea, Mediterranean Sea, North Atlantic, and North Sea.

The aggregated datasets are provided as ODV (https://www.seadatanet.org/Software/ODV)  data collections, while the climatology gridded fields are provided in NetCDF files.

Each SeaDataCloud product is described in a Product Information Document (PIDoc) that can be accessed from the product’s landing page. Product PIDoc contains detailed information about the product: the data source, statistics on spatial and temporal data coverage, information about quality procedures, applied methods and tools used, comparison with previous versions, information about validation procedures and so on.

Example of DOI (landing page) : https://doi.org/10.12770/2a2aa0c5-4054-4a62-a18b-3835b304fe64
Example of PIDoc : https://archimer.ifremer.fr/doc/00658/77059/

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.83ded0
title: FAIRsharing record for: Persistent Identifier Consortium for eResearch
title: ePIC Identifier

description: This FAIRsharing record describes:  ePIC is to set up and maintain a reliable joint service for registering, storing and resolving persistent identifiers based on handles for the research community. ePIC was founded in 2009 by a consortium of European partners in order to provide PID services for the European Research Community, based on the handle system, for the allocation and resolution of persistent identifiers. The consortium signed a Memorandum of Understanding aiming to provide long term reliability for the PID services. Meanwhile ePIC is also an international consortium and open to partners from the research community worldwide.
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.bd9566
title: FAIRsharing record for: Minimum Information about an Uncultivated Virus Genome
title: MIxS-MIUViG

description: This FAIRsharing record describes:  MIxS - MIUViG (Minimum Information about an Uncultivated Virus Genome) is a checklist that is a part of the larger MIxS standard. MIxS, or the Minimum Information about any (X) Sequence, is a standard for describing the contextual information about the sampling and sequencing of any genomic sequence. Each checklist includes the required, recommended and optional metadata fields for a specific type of genomic sequence. This checklist concerns uncultivated Virus Genome.
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.0998b7
title: FAIRsharing record for: Project Tycho 2.0 pre-compiled dataset format v1.1
title: null

description: This FAIRsharing record describes:  Project Tycho Pre-compiled Data Format v1.1 specifies the variables used and file format of pre-compiled datasets released by Project Tycho version 2.0 in a comma-separated value format. This record describes the v1.1 version of the format, which includes additional demographic attributes and Boolean combinations not available in Project Tycho Pre-compiled Data Format v1.0. Project Tycho 2.0 pre-compiled datasets include counts of cases for conditions (i.e., disorders) in populations reported by health agencies. These counts can be specified for different geographical regions, for different time intervals, for various age ranges and/or subpopulations, and can represent fatalities (deaths) or not. Each datafile includes these, and other, attributes of counts. 
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.3f21af
title: FAIRsharing record for: UCLA Dataverse
title: null

description: This FAIRsharing record describes:  The UCLA Library adopted Dataverse, an open source web application designed for sharing, preserving, and using research data. UCLA Dataverse will enable people in publishing and tracking research data, text software, scripts, and data visualizations created from research projects at UCLA. The data can be made publicly available, discoverable, linkable, and ultimately, reusable. The Data Science center will support the ability of research groups, centers, schools, and departments to obtain their own sub-dataverse that they can administer with guidance and training.
UCLA Dataverse will allow data, text, software, scripts, data visualizations, etc., created from research projects at UCLA to be made publicly available, widely discoverable, linkable, and ultimately, reusable. We will also support the ability of research groups, centers, schools and departments to obtain their own sub-dataverse that they can administer with guidance and training from the Data Science Center. 
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.279381
title: FAIRsharing record for: National Center for Advancing Translational Sciences COVID-19 OpenData Portal
title: NCATS OpenData Portal

description: This FAIRsharing record describes:  National Center for Advancing Translational Sciences (NCATS) OpenData Portal development aims to share COVID-19-related drug repurposing data and experiments for all approved drugs. The NCATS OpenData COVID-19 portal is a resource designed for rapid and open sharing of SARS-CoV-2 screening data and assay information for the global health community, measuring over 10,000 compound related assays including the NCATS Pharmaceutical Collection of nearly 3,000 approved drugs. This research was supported by the National Center for Advancing Translational Sciences (NCATS) Intramural Research Program of the NIH, aimed to enable researchers with the resources needed to formulate and test hypotheses, prioritize research opportunities, and efficiently search for effective therapies against viral and disease exposures. 
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.7861ef
title: FAIRsharing record for: 2023 Final NIH Policy for Data Management and Sharing
title: NOT-OD-21-013

description: This FAIRsharing record describes:  The National Institutes of Health (NIH) , Final Policy for Data Management and Sharing (NOT-OD-21-013) works to promote the management and sharing of scientific data generated by NIH-funded or conducted research, effective January 25, 2023, as it applies to research funded or conducted by the NIH resulting in the generation of scientific data. The National Institutes of Health (NIH) is issuing this final NIH Policy for Data Management and Sharing (DMS Policy) to promote the management and sharing of scientific data generated from NIH-funded or conducted research. This Policy establishes the requirements of submission of Data Management and Sharing Plans (hereinafter Plans) and compliance with NIH Institute, Center, or Office (ICO)-approved Plans. It also emphasizes the importance of good data management practices and establishes the expectation for maximizing the appropriate sharing of scientific data generated from NIH-funded or conducted research, with justified limitations or exceptions. This Policy applies to research funded or conducted by NIH that results in the generation of scientific 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.9fe00b
title: FAIRsharing record for: Minimum Information Standard for Engineered Organism Experiments
title: MIEO

description: This FAIRsharing record describes:  The Minimum Information Standard for Engineered Organism Experiments (MIEO) identifies experimental factors that affect the growth and productivity of engineered organisms in small-scale experiments. MIEO enables reproducible performance of engineered organisms and parts across space, time, and conditions of use. MIEO should accelerate the exchange of organisms within and across organizations, enable reproducibility of published results, and mitigate inconsistent performance within a laboratory.  The MIEO standard focuses on experimental factors that influence the functional outcome relating to the growth and productivity of engineered organisms. The factors that affect cell growth and productivity can be grouped into three broad categories: (1) media composition, including the identity and amount of media components; (2) geometry and shaking of the growth container; and (3) other factors, including time, environment, selective agents and inoculum. 
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.429b28
title: FAIRsharing record for: Virtual Language Observatory
title: VLO

description: This FAIRsharing record describes:   The Virtual Language Observatory (VLO) faceted browser was developed within CLARIN as a means to explore linguistic resources, services and tools available within CLARIN and related communities. Its aim is to provide an easy to use interface, allowing for a uniform search and discovery process for a large number of resources from a wide variety of domains and providers. 
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.51c8b2
title: FAIRsharing record for: Department of Statistical Sciences Data Repository - Unipd
title: null

description: This FAIRsharing record describes:  The Data Repository of the Department of Statistical Sciences is a research data archive with the objective of sharing datasets collected within the Department. 
The service aims to facilitate data discovery, data sharing, and reuse.
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.dab53d
title: FAIRsharing record for: Clinical and Administrative Data on Substance and HIV Risk Exposure for Foster Youth
title: CAREFul

description: This FAIRsharing record describes:  The purpose of this project is to identify differences in healthcare access and use and predictors of health behaviors for youth in foster care compared to demographically similar youth never in foster care, using data elements that are commonly available in the electronic health record and child welfare record, with the long-term goal of supporting the delivery of prevention and intervention efforts to promote health equity for young people in foster care. Summary data is provided to promote transparency and open data sharing. To encourage collaboration and additional analysis, beyond summary and descriptive data, to answer questions about healthcare delivery and addressing health needs that will promote evidence-based practice and healthcare delivery decisions, these data are made available through a data use agreement with the PI, Sarah Beal (sarah.beal@cchmc.org).  
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.209c8e
title: FAIRsharing record for: Metadata Schema for the Persistent Identification of Instruments (1.0)
title: PIDINST Schema 1.0

description: This FAIRsharing record describes:  The Research Data Alliance (RDA) endorsed Persistent Identification of Instruments Working Group (PIDINST WG) Metadata Schema 1.0 provides community-driven solutions for publishing globally unique identifications of active instruments used in research sciences. The PIDINST Schema provides an ability to link active instruments (instance) with an instrument type to the broader context in which the instrument operates, including generated data types, other instruments and platforms, people and manufacturers, etc., to enhanced interpretation of generated instrument data. Version 1.0 of the schema has been endorsement as a RDA recommendation.
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.