cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110599656
title: Persepolis Fortification Elamite Tablet 1161, PF 1161

description: [Text Description:] Administrative text with seals PFS 0114, PFS 0105 ❧ [Text or Publication Number Note:] PF 1161 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impressions PFS 0114 reverse; PFS 0105 left edge.
DOI: 10.25549/jrbm-ouc16329334
title: 女用訓蒙圖彙 [volume 2]

description: Preface by editor, Okuda Shōhakuken, not dated. Title from preface. Mostly within double border, some in single (18.6-19.4 x 13.3-14.0 cm.). On double leaves, oriental style (fukurotoji); dark blue cover with single border title slip. Vol. 1: [jo], 25 leaves; vol. 2: 20 leaves; vol. 3: 17 leaves; vol. 4: 1, 21 leaves; vol. 5: 17 leaves.
DOI: 10.25504/fairsharing.777897
title: FAIRsharing record for: Open Energy Metadata 
title: OEMetadata

description: This FAIRsharing record describes:  The Open Energy Family aims to ensure quality, transparency and reproducibility in energy system research. It is a collection of various tools and information and that help working with energy related data. It is a collaborative community effort, everything is openly developed and therefore constantly evolving. The main module is the Open Energy Platform (OEP), a web interface to access most of the modules, especially the community database. It provides a way to publish data with proper documentation (metadata), and link it to source code and underlying assumptions. Open Energy Database is an open community database for energy, climate and modelling data. The OEP is part of the NFDI (Nationale Forschungsdateninfrastruktur) and is being developed in the consortium NFDI4Energy.
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.c4e4bc
title: FAIRsharing record for: Health Study Hub 
title: null

description: This FAIRsharing record describes:  The Health Study Hub is an inventory of German studies in the field of clinical, public health and epidemiological health research. The aim of the Health Study Hub is to enable and foster the implementation of the FAIR principles (Findability, Accessibility, Interoperability and Reusability) in the health domain. Unlike other initiatives, the Health Study Hub focuses not only on clinical research, but also on public health studies. The Health Study Hub also provides access to study materials such as (sample) questionnaires, data dictionaries and other information down to variable level. 
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.ced127
title: FAIRsharing record for: OECD Existing Chemicals Database
title: null

description: This FAIRsharing record describes:  Database by the OECD Cooperative Chemicals Assessments Programme to track the status of chemical and chemical categories, and related OECD assessments, SIDS contact points, and other reports.
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.97002c
title: FAIRsharing record for: GRIIDC
title: null

description: This FAIRsharing record describes:  GRIIDC is a multidisciplinary data repository that stores and disseminates data primarily collected or generated from the Gulf of Mexico region. Data can be searched and downloaded for free and data can be stored for a fee. Datasets are assigned digital object identifiers and are described with ISO-19115-2 metadata. Our mission is to ensure a data and information legacy that promotes continual scientific discovery and public awareness of the Gulf of Mexico ecosystem.
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.530d6a
title: FAIRsharing record for: BERD 
title: null

description: This FAIRsharing record describes:  BERD@NFDI is a research data infrastructure dedicated to transforming the way Business, Economic, and Related Data are managed.
With a special focus on unstructured data, such as images, videos, audio, and text files, BERD@NFDI provides a comprehensive suite of services and tools. These tools facilitate the searching, collecting, indexing, processing, analyzing, and preserving both data and algorithms, simplifying your data management needs throughout the entire research process.
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.4249e7
title: FAIRsharing record for: SWISSUbase 
title: null

description: This FAIRsharing record describes:  SWISSUbase is an online platform and services which are operated by a consortium consisting of FORS (Swiss Centre of Expertise for the Social Sciences) and the Universities of Lausanne, Neuchâtel and Zurich.
The purpose of SWISSUbase is to serve the Swiss scientific community to share and preserve research data for future reuse. 
SWISSUbase is unique from other data sharing solutions – it is multi-disciplinary with rich discipline-specific and multilingual metadata. Data curation is performed by data experts in partner institutions, ensuring that data from different disciplines can be effectively shared, reused and preserved for 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.d74b60
title: FAIRsharing record for: Open Access Repository and Archive  
title: OPARA

description: This FAIRsharing record describes:  OPARA is the Open Access Repository and Archive for Research Data of Saxon Universities. Researchers of Saxon Universities can either publish their research data on OPARA, or archive it here to comply with requirements of funding acencies and good scientic practice, without public 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.dead59
title: FAIRsharing record for: The crop modeling community model repository
title: CropMRepository

description: This FAIRsharing record describes:  CropMRepository provides an accessible online location for storing and efficiently retrieving and sharing simulation models of soil and crop growth biophysical processes. Models are stored in the open-source format Crop Modeling MetaLanguage (Crop2ML) developed and supported by the Agricultural Model Exchange Initiative (AMEI). CropMRepository and Crop2ML follow the Minimum Information Required in the Annotation of Models (MIRIAM) and the Open Modeling Foundation (OMF) sets of guidelines that define how a model should be encoded, annotated, and documented in order to be successfully distributed, exchanged and ultimately reused.All models are provided under an open-source license. This means that the models are available freely for use, modification, and distribution, to all users. The models deposited in CropMRepository are citable by using the unique and perennial model identifier assigned to each model.


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.307ed6
title: FAIRsharing record for: DARIAH-DE Repository 
title: null

description: This FAIRsharing record describes:  DARIAH-DE (Digital Research Infrastructure for the Arts and Humanities) is an initiative to create a digital research infrastructure for the humanities and cultural studies. For that purpose, DARIAH-DE supports research in the humanities and cultural studies that works with digital methods and procedures with a research infrastructure.
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.5ca222
title: FAIRsharing record for: Clinical AI Research checklist 
title: CAIR  

description: This FAIRsharing record describes:  We have developed guidelines for reporting medical AI research to clinicians in the run-up to a broader consensus process. The proposed guidelines consist of a Clinical Artificial Intelligence Research (CAIR) check- list and specific performance metrics guidelines to present and evaluate research using AI components. Researchers, engineers, clinicians, and other stakeholders can use these proposal guidelines and the CAIR checklist to read, present, and evaluate AI research geared towards a healthcare setting.
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.e6dc36
title: FAIRsharing record for: DeiC Dataverse
title: null

description: This FAIRsharing record describes:  DeiC Dataverse is the Danish National Repository for Research Data. It allows researchers to publish and archive their research data in line with the FAIR principles, including metadata descriptions, DOI’s (Digital Object Identifiers) as persistent identifiers and clearly defined terms and conditions for access and reuse. 

DeiC Dataverse is owned by the Danish e-infrastructure Consortium, DeiC, and provided free of charge to all Danish research institutions. 
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.066ede
title: FAIRsharing record for: Princeton Data Commons
title: PDC

description: This FAIRsharing record describes:  Princeton Data Commons is a multidisciplinary digital repository offering expert curation services and designed to archive and publicly disseminate data and code that are the result of research activities by Princeton University's research 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.07ac45
title: FAIRsharing record for: UCAR Digital Asset Services Hub
title: DASH Search

description: This FAIRsharing record describes:  A beta version of the UCAR data asset search. Metadata is compiled from a number of data repositories managed by UCAR into the DASH Search to support cross-organizational data searches.
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.1b6e75
title: FAIRsharing record for: Digital Commons Data@Becker
title: DCD@Becker

description: This FAIRsharing record describes:  Digital Commons Data@Becker (DCD@Becker) is the institutional data repository for Washington University School of Medicine in St. Louis (WashU Medicine), providing a platform for faculty, staff, students, and trainees at WashU Medicine to share their data and supporting files in compliance with funder and publisher policies. It is administered and maintained by Bernard Becker Medical Library and serves as a generalist repository that accepts all types of data. DCD@Becker supports both open and controlled access. In the case of sensitive data such as data from human participants, controlled access is provided as needed in accordance with informed consent language and guidance from the WashU Human Research Protection Office. Access to data under controlled access requires the requestor’s institution to sign a Data Transfer and Use Agreement (DTUA). For more details on accessing controlled data, please refer to the FAQ document. DCD@Becker is an institutional instance of Mendeley Data—one of the NIH-supported GREI repositories—and meets the desirable characteristics of data repositories for federally funded research recommended by the NIH. To improve dataset metadata quality, data curation is conducted in a controlled manner, with the Becker Data Management and Sharing Team assisting depositors to ensure data adhere to FAIR principles (Findable, Accessible, Interoperable, and Reusable). This includes collecting rich metadata and persistent identifiers (e.g., ORCID IDs, ROR, RRIDs, DOIs for protocols), converting files into open formats (e.g., csv, txt, pdf, tiff), and gathering key documentation such as data dictionaries, README files, codebooks, and survey instruments to support interpretation and reuse. In addition, DCD@Becker supports file sizes up to 100 GB. DCD@Becker uses the DataCite metadata schema and assigns DOIs for all datasets, ensuring they are discoverable online via web search and persistent links. The repository has a robust preservation plan to support long-term access to data. For more information, visit https://digitalcommonsdata.wustl.edu/research-data/ or contact BeckerDMS@wustl.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.96d4af
title: FAIRsharing record for: FAIR Principles I2: (meta)data use vocabularies that follow FAIR principles
title: FAIR I2

description: This FAIRsharing record describes:  'FAIR Principles I2: (meta)data use vocabularies that follow FAIR principles' uses “vocabularies” as the methods for unambiguous representation of concepts that exist in a given domain. The use of shared, and formally structured (principle I1), sets of terms is an essential part of FAIR. Terminology systems, including flat “vocabularies”, hierarchical “thesauri” and more granular specifications of knowledge such as data models and consistently structured ontologies, play an important role in community standards. However, the vocabularies used for metadata or data also need to be FAIR in their own right so that users (including machines) can fully understand the meaning of the terms used in the metadata. I2 requires that the vocabulary terms used in the knowledge representation language (principle I1) can be sufficiently distinguished, by a machine, to resolve to the intended defined meaning and thus ensure detection and prevention of “false agreements” as well as “false disagreements” on exact meaning of the identifier. (Text modified from: see reference URL.) 
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.05f7cb
title: FAIRsharing record for: FAIR Principles - Findable
title: FAIR - F

description: This FAIRsharing record describes:  The FAIR Principles describe characteristics and aspirations necessary to support the creation and sharing of valuable digital research objects, which can then be rigorously evaluated and extensively reused or reproduced, with appropriate credit, to the benefit of both creator and user. To be valuable, data should be Findable, Accessible, Interoperable, and Reusable by researchers and the wider communities, as well as by machines with no or minimal human intervention. This represents the Findable aspect of FAIR, primarily concerned with the use of suitable identifiers, rich metadata, and the registering and/or indexing of the (meta)data in searchable resources. 
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.dea200
title: FAIRsharing record for: FAIR Principles - Interoperable
title: FAIR - I

description: This FAIRsharing record describes:  The FAIR Principles describe characteristics and aspirations necessary to support the creation and sharing of valuable digital research objects, which can then be rigorously evaluated and extensively reused or reproduced, with appropriate credit, to the benefit of both creator and user. To be valuable, data should be Findable, Accessible, Interoperable, and Reusable by researchers and the wider communities, as well as by machines with no or minimal human intervention. This represents the Interoperable aspect of FAIR, primarily concerned with the use of formal languages and vocabularies, as well as references to other metadata. 
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.4293fa
title: FAIRsharing record for: FAIR Principles - Accessible
title: FAIR - A

description: This FAIRsharing record describes:  The FAIR Principles describe characteristics and aspirations necessary to support the creation and sharing of valuable digital research objects, which can then be rigorously evaluated and extensively reused or reproduced, with appropriate credit, to the benefit of both creator and user. To be valuable, data should be Findable, Accessible, Interoperable, and Reusable by researchers and the wider communities, as well as by machines with no or minimal human intervention. This represents the Accessible aspect of FAIR, primarily concerned with suitable communications protocols and the long-term accessibility of metadata describing the digital research object.

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.44faf0
title: FAIRsharing record for: FAIR Principles - Reusable
title: FAIR - R

description: This FAIRsharing record describes:  The FAIR Principles describe characteristics and aspirations necessary to support the creation and sharing of valuable digital research objects, which can then be rigorously evaluated and extensively reused or reproduced, with appropriate credit, to the benefit of both creator and user. To be valuable, data should be Findable, Accessible, Interoperable, and Reusable by researchers and the wider communities, as well as by machines with no or minimal human intervention. This represents the Reusable aspect of FAIR, primarily concerned with the use of appropriate and clear licencing and provenance, as well as the use of rich and complete domain-specific metadata through the use of community 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.e05e98
title: FAIRsharing record for: FAIR Principles F2: Data are described with rich metadata
title: FAIR F2

description: This FAIRsharing record describes:  'FAIR Principles F2: Data are described with rich metadata' is concerned with the discovery of a resource of interest through, for example, search or filtering. Digital resources must be described with rich metadata – including descriptors of the content of the resource referred to by that identifier. It is hard to generally define the minimally required “richness” of this metadata, except that the more generous and comprehensive it is, both for humans and computers, the more specifically findable (in a meaningful way) it becomes in refined searches. While other principles specify metadata elements that must be present to support, for example, specific aspects of reusability (e.g. citation and license), principle F2 is primarily about discovery - that a digital resource that is well-described can be easily discovered even when the resource is unknown to the agent performing the search. Thus, this principle encourages data providers and domain experts to consider the various facets of search that might be employed by a user of their data, and to support those users in their discovery of the resource. To enable both global and local search engines to locate a resource, generic and domain-specific descriptors should be provided, that can be exposed to indexing by the relevant search facilities. (Text modified from: see reference URL.)
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.