cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.7e549d
title: FAIRsharing record for: Five Recommendations for FAIR Software
title: null

description: This FAIRsharing record describes:  The Five Recommendations for FAIR Software is a collaboration between the Netherlands eScience Center and DANS (the Dutch national centre of expertise and repository for research data). The recommendations consist of five concrete steps researchers can take to increase the FAIRness of their research software: depositing software in a publicly accessible repository with version control, giving the software a license, registering the software in an appropriate registry, making the software citeable, and using a software quality checklist. The webpage explains why each step is important and offers guidance and resources for following the five steps.
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.d261e1
title: FAIRsharing record for: Uniform Resource Identifier
title: URI

description: This FAIRsharing record describes:  A Uniform Resource Identifier (URI) is a compact sequence of characters that identifies an abstract or physical resource. This specification defines the generic URI syntax and a process for resolving URI references that might be in relative form, along with guidelines and security considerations for the use of URIs on the Internet. The URI syntax defines a grammar that is a superset of all valid URIs, allowing an implementation to parse the common components of a URI reference without knowing the scheme-specific requirements of every possible identifier. This specification does not define a generative grammar for URIs; that task is performed by the individual specifications of each URI scheme.
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.d2d84f
title: FAIRsharing record for: Ontology of Precision Medicine and Investigation
title: OPMI

description: This FAIRsharing record describes:  The Ontology of Precision Medicine and Investigation (OPMI) ontology is an application ontology to support precision medicine and related investigations. It is community-driven and developed by following the OBO Foundry ontology development principles. OPMI reuses, aligns, and integrates related terms from existing ontologies in the OBO ontology library. OPMI aims to represent and standardize the entities associated with precision medicine, including all the data/metadata types, investigation processes, and analysis in various aspects of clinical, pathological, and molecular studies to be conducted in KPMP. The Kidney Tissue Atlas Ontology (KTAO) is a more kidney-specific complementary addition to OMPI precision medicine-related terms that can be used in parallel. 
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.d43032
title: FAIRsharing record for: Open Data Policy – Managing Information as an Asset
title: M-13-13

description: This FAIRsharing record describes:  This Memorandum establishes a framework to help institutionalize the principles of effective information management at each stage of the information life cycle to promote interoperability and openness. Whether or not particular information can be made public, agencies can apply this framework to all information resources to promote efficiency and produce value. This attachment provides definitions and implementation guidance for M-13-13 "Open Data Policy-Managing Information as an Asset" in accordance with Executive Order 13642 of May 9, 2013, Making Open and Machine Readable the New Default for Government Information.
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.7ceda4
title: FAIRsharing record for: Kidney Tissue Atlas
title: KPMP

description: This FAIRsharing record describes:  The Kidney Tissue Atlas is a part of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Kidney Precision Medicine Project (KPMP) initiative in part of a multi-site collaboration comprised of patients, clinicians, and investigators from across the United States. The Atlas Repository provides access to the datasets being generated by KPMP. The datasets available in the repository are a combination of raw and processed data from KPMP participant biopsies and reference tissue samples. Datasets are routinely added as they are generated and QCed prior to release.

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.59985a
title: FAIRsharing record for: Recherche Data Gouv
title: null

description: This FAIRsharing record describes:  The Research Data Gouv repository allows the French scientific community to publish public research data. It is based on the open source research data repository software "Dataverse".
This multidisciplinary repository is a sovereign publishing solution for sharing and opening up data for communities which are yet to set up their own recognised thematic repository.
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.2ea3ef
title: FAIRsharing record for: Bacterial and Viral Bioinformatics Resource Center
title: BV-BRC

description: This FAIRsharing record describes:  The Bacterial and Viral Bioinformatics Resource Center (BV-BRC) is an information system designed to support research on bacterial and viral infectious diseases. BV-BRC combines two long-running BRCs: PATRIC, the bacterial system, and IRD/ViPR, the viral systems. The migration of the data, tools, and services from the legacy IRD and ViPR applications to BV-BRC is now complete. All web traffic from the IRD and ViPR resources is also being forwarded to the BV-BRC home page.
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.548df7
title: FAIRsharing record for: Genome Aggregation Database
title: gnomAD

description: This FAIRsharing record describes:  The Genome Aggregation Database (gnomAD) is a resource developed by an international coalition of investigators, with the goal of aggregating and harmonizing both exome and genome sequencing data from a wide variety of large-scale sequencing projects, and making summary data available for the wider scientific 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.7416f8
title: FAIRsharing record for: GENCODE
title: null

description: This FAIRsharing record describes:  The goal of the GENCODE project is to identify and classify all gene features in the human and mouse genomes with high accuracy based on biological evidence, and to release these annotations for the benefit of biomedical research and genome interpretation.
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.a932b3
title: FAIRsharing record for: MatrisomeDB
title: null

description: This FAIRsharing record describes:  MatrisomeDB is a searchable collection of curated proteomic datasets focused on the analysis of the extracellular matrix (ECM) of healthy and diseased tissues. 
In brief ECM proteomics datasets are retrieved from public repositories and are reprocessed using unified search parameters and criteria to allow inter-study comparison. 
Users can search MatrisomeDB by inputting gene symbol(s), protein name(s), species, and/or tissue type(s). 
The output from the data reprocessing workflow is displayed in the form of a downloadable table and different hierarchically-clustered distribution heatmaps computing confidence scores and protein abundance. Additional features include peptide mapping on primary amino-acid sequences, domain-based representation of proteins, and 3D protein structures. Users are also provided with references to external databases including GeneCard, UniProt, the CPTAC assay portal, and the Peptide Atlas, and with link to original publications and raw mass spectrometry data files.
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.b7f3ff
title: FAIRsharing record for: ARP Research Data Repository
title: ARP Repository

description: This FAIRsharing record describes:  The HUN-REN Data Repository Platform (HUN-REN ARP) is a new repository infrastructure service that supports the continuous and long-term research data management of the entire HUN-REN research network. The development provides a solution for the secure digital storage, use and reuse of research data as a valuable data asset, as well as its further utilization by the research community and other sectors like the economy.
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.bb4571
title: FAIRsharing record for:  ODIS - Catalogue of Sources
title: null

description: This FAIRsharing record describes:  The ODIS "Catalogue of Sources" aims to be an online browsable and searchable catalogue of existing ocean related web-based sources/systems of data and information as well as products and services. It will also provide information on products and visualize the landscape (entities and their connections) of ocean data and information sources.
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: 10.15468/dl.ny57rb
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalus brevirostris Tanaka, 1917",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022250-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.8d9dd2
title: FAIRsharing record for: Yeast Phenome
title: null

description: This FAIRsharing record describes:  Yeast Phenome aggregates and annotates all published screens of the yeast knock-out collection. 
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.c5e881
title: FAIRsharing record for: Lithuanian Data Archive for Social Sciences and Humanities
title: LiDA

description: This FAIRsharing record describes:  Lithuanian Data Archive for Social Sciences and Humanities (LiDA) is a virtual digital infrastructure for data acquisition, long-term preservation and dissemination. It provides access to more than 700 datasets. All the international and national data resources are documented in both Lithuanian and English. Access to the data is provided via this Dataverse repository (not all the datasets are available, as in 2020-2023 a migration project from the old infrastructure is being implemented). LiDA curates most of the data collected conducting the most important international social surveys in Lithuania – the European Social Survey, European Values Studies, European Election Studies and the International Social Research Program.
LiDA is hosted by the Centre for Data Analysis and Archiving (DAtA) of Kaunas University of Technology (https://data.ktu.edu). 
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.8e4c8d
title: FAIRsharing record for: Environmental Molecular Sciences Laboratory Data Management Policy
title: EMSL User Policy

description: This FAIRsharing record describes:  The Environmental Molecular Sciences Laboratory (EMSL) Data Management Policy details the resources available to EMSL users and facility staff for managing data associated with research using EMSL user facility capabilities at the Pacific Northwest National Laboratory. This policy is to assist EMSL users and staff to better understand what data is available at EMSL and downstream procedures including storage and retrieval capabilities, data definitions, data release requirements, and the data management responsibilities of EMSL’s instrument and computational scientists. EMSL’s policy is based on the guiding principles summarized below from the Department of Energy (DOE), DOE Office of Science (DOE-SC) and the Office of Biological and Environmental Research (BER). It also provides information necessary to assist researchers in developing a data management plan to meet funding agency requirements. To promote the efficient delivery of scientific discoveries and effective use of government resources, DOE and DOE-SC have mandated that data management planning be an integral element of research planning. Data preservation and sharing facilitates validation and reproducibility of scientific results and broadens the applicability of data products beyond the scope of individual research projects. Therefore, it is the intent of DOE-SC that scientific data generated at scientific user facilities such as EMSL be made available to the scientific community, industry, and the public to the greatest extent possible. DOE-SC policy requires that “all research data displayed in publications resulting from [SC-sponsored] research be open, machine-readable, and digitally accessible to the public at the time of publication.” Additional information on data and publication sharing requirements and guidelines is provided in DOE’s Public Access Plan. 
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.8690f1
title: FAIRsharing record for: European Health Information Portal
title: HIP

description: This FAIRsharing record describes:  The Health Information Portal (HIP) is a web-based platform (https://www.healthinformationportal.eu/) hosting information about National Nodes, Research Networks, health information sources, i.e. data sources, health information studies and projects, health information publications and capacity building activities. For each of the modules, a standardized information structure has been developed. Different modules are interlinked with each other through specific elements such as country or institution.
HIP aims to serve as a one-stop-shop for health information in Europe. It will support researchers and decision-makers to find and access available information, relevant actors, and networks.
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.7946aa
title: FAIRsharing record for: Human Immunology Project Consortium Database
title: ImmuneSpace

description: This FAIRsharing record describes:  The Human Immunology Project Consortium (HIPC) program, an organization founded by the NIAID-DAIT, released ImmuneSpace in January 15, 2016. ImmuneSpace blossomed from a shared idea that generating large amounts collaborative data, cross-center and cross-assay, to characterize the status of the immune system in diverse populations under normal conditions and in response to various stimuli would be a beneficial platform. Since its release, ImmuneSpace has developed into powerful data management and analysis engine, where datasets can be easily explored and analyzed using state-of-the-art computational tools. ImmuneSpace takes advantage of the considerable infrastructure already developed through another HIPC platform, ImmPort, which serves as a repository of data generated by investigators funded by DAIT. Data are submitted by each HIPC center to ImmPort using a set of standardized data templates. Once ImmPort has made these data public through routine data releases, the data are transferred to ImmuneSpace where integrative modeling across various data types and HIPC centers are enabled. ImmuneSpace provides multiple ways to interact with, visualize, and analyze data. Each study contains tabs to view raw data, run common analyses, and look at custom reports. All the analyses make use of the R statistical language, leveraging Rserve to improve performance and knitr to enable full reproducibility.
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.807c10
title: FAIRsharing record for: Human Immunology Project Consortium Repository
title: HIPC Dashboard

description: This FAIRsharing record describes:  The Human Immunology Project Consortium (HIPC) Dashboard is a web-application supporting the storage and dissemination of immune signatures curated from published literature. Using computational analysis of large-scale experimental data from high-throughput systems biology approaches coupled with detailed clinical phenotyping in well-characterized human cohorts, the HIPC aims to identify molecular “signatures” that correlate with the outcomes of vaccinations, adjuvants or natural infections in humans. To facilitate dissemination of this information to the scientific community the Consortium has developed the “HIPC Dashboard”, a web interface that provides access to consistently annotated immune signatures generated by HIPC activities as well as curated from the literature.
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.a217db
title: FAIRsharing record for: Public Health Service Policies on Research Misconduct Final Rule
title: 42 CFR Parts 50 and 93

description: This FAIRsharing record describes:   This final rule removes 42 CFR part 50, subpart A, ‘‘Responsibilities of Awardee and Applicant Institutions for Dealing With and Reporting Possible Misconduct in Science,’’ and replaces it with a new, more comprehensive part 93, ‘‘Public Health Service Policies on Research Misconduct" (RIN 0940–AA04). The proposed part 93 was published for public comment on April 16, 2004. The final rule reflects both substantive and non-substantive amendments in response to public comments and to correct errors and improve clarity, but the general approach of the NPRM is retained. The purpose of the final rule is to implement legislative and policy changes applicable to research misconduct that occurred over the last several years, including the common Federal policies and procedures on research misconduct issued by the Office of Science and Technology Policy on December 6, 2000. 
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.