cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.ccba8e
title: FAIRsharing record for: Open Access Policy for CERN Publications
title: CERN-OPEN-2021-009

description: This FAIRsharing record describes:  The CERN Open Access Policy, authored by the CERN Scientific Information Policy Board, reflects the ongoing values that have been enshrined in the CERN Convention for more than sixty years. This policy, reaffirmed in the ‘2020 Update of the European Strategy for Particle Physics’, have become increasingly more important for the Member States, the European Commission, and other institutional partners across the world. As part of this policy, CERN authors are required to publish all of their peer-reviewed primary research articles open access (by default under a Creative Commons attribution license, i.e. CC-BY-4.0), Peer-reviewed primary research articles are all articles that describe original research and are accepted for publication following a peer-review process. As such, conference proceedings, editorials and secondary sources (review articles, meta-analyses, and systematic reviews, etc.) are not covered by this policy.
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.1cd427
title: FAIRsharing record for: Peking University Open Research Data
title: PKU-Opendata

description: This FAIRsharing record describes:  In order to meet the needs of research data management for Peking University. The PKU library cooperate with the NSFC-PKU data center for management science, PKU science and research department, PKU social sciences department to jointly launch the Peking University Open Research Data Platform. PKU Open research data provides preservation, management and distribution services for research data. It encourage data owner to share data and data users to reuse 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.ab597d
title: FAIRsharing record for: National Microbiology Data Center
title: NMDC

description: This FAIRsharing record describes:  II.	National Microbiology Science Data Center(NMDC) was established in 2019 by the Institute of Microbiology, Chinese Academy of Sciences. The total amount of NMDC data resources exceeds 6PB, and the number of data records exceeds 5.2 billion, covering the whole life cycle of microbial research, including microbial resources, microbial and cross-technology methods, research process and engineering, microbiomics, microbial technology, microbial literature, patents, experts, and achievements. NMDC builds a systematic and comprehensive national microbial big data system through the construction of a series of key databases, covering global microbial strains classification and research, pathogenic microorganisms, microbiomes, and fungi, and provides information services and communication platforms for microbiology-related workers around the world. During the COVID-19 epidemic, NMDC developed Novel Coronavirus National Science and Technology Resource Service System, established a global scientific data release and sharing platform in the first time, and developed New Coronavirus Variation Evaluation and Early Warning System (VarEPS), which is the first system in the world to provide multi-dimensional risk assessment and early warning for known and virtual variants in the SARS-CoV-2 genome. Based on World Data Center for Microorganisms (WMDC) as a platform, NMDC advocated the Global Catalogue of Microorganisms (GCM) and Global Microbial Type Strain Genome and Microbiome Sequencing Project (GCM 2.0), which has effectively promoted the sharing and utilization of global microbial 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.3b3157
title: FAIRsharing record for: RADAR4Chem
title: null

description: This FAIRsharing record describes:  RADAR4Chem is a low-threshold and easy-to use service for sustainable publication and preservation of research data from all disciplines of chemistry. It offers free publication for any data type and format according to the FAIR principles, independent of the researcher´s institutional affiliation. Through persistent identifiers (DOI) and a guaranteed retention period of at least 25 years, the research data remain available, citable and findable long-term. Currently, the offer is aimed exclusively at researchers in the field of chemistry at publicly funded research institutions and universities in Germany. No contract is required and no data publication fees are charged. The researchers are responsible for the upload, organisation, annotation and curation of research data as well as the peer-review process (as an optional step) and finally their publication.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.5e7082
title: FAIRsharing record for: Archive ouverte
title: HAL

description: This FAIRsharing record describes:  HAL (short for Hyper Articles en Ligne) is an open archive where authors can deposit scholarly documents from all academic fields.
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.0db6d6
title: FAIRsharing record for: RADAR4Culture
title: null

description: This FAIRsharing record describes:  RADAR4Culture is a low-threshold and easy-to use service for sustainable publication and preservation of cultural heritage research data. It offers free publication for any data type and format according to the FAIR principles, independent of the researcher´s institutional affiliation. Through persistent identifiers (DOI) and a guaranteed retention period of at least 25 years, the research data remain available, citable and findable long-term. Currently, the offer is aimed exclusively at researchers at publicly funded research institutions and (art) universities as well as non-commercial academies, galleries, libraries, archives and museums in Germany. No contract is required and no data publication fees are charged. The researchers are responsible for the upload, organisation, annotation and curation of research data as well as the peer-review process (as an optional step) and finally their publication.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.9999c8
title: FAIRsharing record for: Neuroscience Simulation Data Format
title: NSDF

description: This FAIRsharing record describes:  NSDF is designed to store simulator output across scales: from multiscale chemical and electrical signaling models, to detailed single-neuron and network models, to abstract neural nets.
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.a0e45f
title: FAIRsharing record for: Mathematical Research-Data Repository
title: MathRepo

description: This FAIRsharing record describes:  This is a repository of the Max Planck Institute for Mathematics in the Sciences in Leipzig, dedicated to mathematical research data. In particular, the purpose of this repository is to collect scripts and code, to explain applications of mathematical software, to showcase additional examples to paper publications, and more generally to host supplementary material developed for research projects or discussed in workshops. MathRepo is in the process of restructuring so that its content meets the FAIR Principles for sustainable research. In the future, MathRepo will follow the guidelines developed by the Mathematical Research Data Initiative MaRDI.
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.564dab
title: FAIRsharing record for: CNRS Research Data
title: null

description: This FAIRsharing record describes:  As part of the Research Data plan, the CNRS Research Data institutional repository offers CNRS scientists and their collaborators a solution for sharing data when there is no thematic or institutional repository adapted to their research field. CNRS Research Data provides a space in which depositors can share and promote data (legally disseminable, completed, documented and reusable) produced or co-produced as part of research work supported by the CNRS.
CNRS Research Data includes a generic main collection and laboratory collections that can be created on demand. The submission is done directly by the scientists and a team of moderators then assists them from the curation of the dataset to its publication. 
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.5a2be6
title: FAIRsharing record for: Emblematica Online
title: null

description: This FAIRsharing record describes:  This digital library of emblematica contains 1,388 freely accessible facsimiles of rare, and even unique, emblem books from the following libraries: the University of Illinois at Urbana-Champaign; the Herzog August Bibliothek, Wolfenbüttel; Glasgow University, Utrecht University, Duke University, and the Getty Research Institute. Users can search and browse books from all of the collections named above.
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.1faf1c
title: FAIRsharing record for: The CARE Principles for Indigenous Data Governance
title: CARE Principles

description: This FAIRsharing record describes:  The CARE Principles for Indigenous Data Governance are people and purpose-oriented, reflecting the crucial role of data in advancing Indigenous innovation and self-determination. These principles complement the existing FAIR principles encouraging open and other data movements to consider both people and purpose in their advocacy and pursuits.
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.c8d3e0
title: FAIRsharing record for: DANS Data Station Life Sciences
title: null

description: This FAIRsharing record describes:  Domain-specific data repository for the Life Sciences, covering all disciplines from the health, medical as well as the green life sciences. This repository primarily serves research communities in The Netherlands, but is open to international researchers and projects that carry a connection to The Netherlands or Dutch research themes, institutes and programmes. The repository is part of the global Dataverse project, and through the interaction of DANS with the larger Dataverse community as wel as the participation in major national and European infrastructural data projects, the repository is continuously improved and enhanced.
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.9dc1f7
title: FAIRsharing record for: SciLifeLab Data Repository
title: null

description: This FAIRsharing record describes:  The SciLifeLab Data Repository, powered by Figshare and supported by SciLifeLab and the Knut and Alice Wallenberg foundation through the Data-Driven Life Science (DDLS) program, is a repository for publishing any kind of research-related data, e.g. documents, figures, or presentations. Figshare is an open data repository used by researchers in numerous disciplines. Through an agreement with Figshare, SciLifeLab offers researchers and units the opportunity to upload and publish their research data through a dedicated portal. 
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.d099fb
title: FAIRsharing record for: Minimal Viable Identifier
title: minid

description: This FAIRsharing record describes:  A Minimal Viable Identifier (minid) provides a lightweight way of uniquely and unambiguously identifying research data products and is sufficiently simple to create and use to make data easily findable, accessible, interoperable, and reusable (FAIR). 
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.130bcc
title: FAIRsharing record for: Digital Bodleian
title: null

description: This FAIRsharing record describes:  Digital Bodleian first launched in 2015 with the aim of bringing together digitized content from the Bodleian Libraries’ extraordinary and rich collections into a single portal. The Bodleian Libraries have been digitizing content since the early 1990s and Digital Bodleian was and is designed to enable access to that content for the widest possible audience. Digital Bodleian quickly established itself as a key resource for research and teaching based on Bodleian Libraries’ collections, and usage has steadily increased over the years since launch. The site has relaunched, in late 2020, with a new and improved search and discovery interface, which aims to: facilitate improved searching, filtering and browsing of collection items; improve display of item-level metadata; enable viewing and download of highest-quality resolution images for the purposes of non-commercial research and teaching; and improve curation and delivery of Bodleian Libraries content, as well as the delivery of content on behalf of partners such as Oxford’s colleges and Digital Humanities projects. The relaunched Digital Bodleian benefited from funding from the Oxford University GLAM Digital Strategy Implementation Programme, and the technical redevelopment was completed in partnership with text & bytes LLC. The Bodleian Libraries are committed to digitizing as many of our special collections holdings as possible, but the vastness of these holdings means that only a relatively small amount is available online. If you would like to explore our special collections further, there are a number of additional online resources available. These include the main library catalogue for print collections SOLO, where information about, for example, rare books can be found; Bodleian Archives & Manuscripts, which contains information about our post-1500 archival and manuscript collections; and numerous TEI catalogues, which contain records for our Western medieval and non-Western manuscript collections. Guidance on all of our available finding aids is provided by Weston Library Special Collections. Digital Bodleian also works in partnership with a number of Oxford colleges and Digital Humanities projects to deliver images of their collections. 
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.bdfd90
title: FAIRsharing record for: Polonsky Foundation Digitization Project
title: null

description: This FAIRsharing record describes:  Through the generous support of The Polonsky Foundation, this project made 1.5 million digitized pages freely available. Portions of the Biblioteca Apostolica Vaticana (Vatican Library) and the Bodleian Libraries’ collections of Hebrew manuscripts, Greek manuscripts, and incunabula were selected for digitization by a team of scholars and curators from around the world. The selection process was informed by a balance of scholarly and practical concerns; conservation staff at the Bodleian and Vatican Libraries worked with curators to assess not only the significance of the content, but the physical condition of the items, prioritizing items that are robust enough to withstand being transported to the imaging studio and handled by the photographers. In order to preserve the integrity and completeness of the manuscript collections, the libraries also agreed to digitize whole collections where appropriate. While the Vatican and the Bodleian had been creating digital images from our collections for a number of years, this project provided an opportunity for both libraries to increase the scale of their digitization services. In both cases, this meant significant investments in the equipment, infrastructure and people that make digitization possible. Over the course of this project, both libraries also revealed information about their digitization techniques and methods.
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.e2b341
title: FAIRsharing record for: Minimum Information Table for the Safety of Engineered Nanomaterials
title: MIT Nanosafety

description: This FAIRsharing record describes:  This study aimed to the identification of appropriate description standards and quality criteria for nanosafety. Several standards and guidelines exist but most of them are incomplete or not specifcally designed for engineered nanomaterials (ENM) research. A basic catalogue of descriptive information and quality criteria was generated. In an iterative process, our interdisciplinary team identifed deficits and added missing information into a comprehensive schema. This overview was evaluated by a panel of experts during a workshop. This whole process resulted in a minimum information table (MIT), specifying necessary minimum information to be provided along with experimental results on effects of ENMs in the biological context. 
The MIT is divided into six modules: general information, material information, biological model information, exposure information, endpoint read out information and analysis and statistics. These modules are further partitioned into module subdivisions serving to include more detailed information. A comparison with existing ontologies, which also aim to electronically collect data and metadata on nanosafety studies, showed that the newly developed MIT exhibits a higher level of detail compared to those existing schemas, making it more usable to prevent gaps in the communication of 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.ec08a9
title: FAIRsharing record for: Electronic Enlightenment: letters & lives
title: EE

description: This FAIRsharing record describes:  Created with generous funding from the Andrew W. Mellon Foundation, Electronic Enlightenment—EE—is a pioneering digital resource for the study of the letter and its place in the rich writing cultures of the ‘long’ eighteenth century. Based on the best critical editions, EE benefits from collaboration with a large network of university presses, editors, scholars, and students who have contributed texts, and continues to grow by adding more archive/print editions and commissioning born-digital correspondences. With 79,254 letters and documents and 10,232 correspondents as of Autumn 2023, EE is the most wide-ranging online collection of edited correspondence of the early modern period, linking people across Europe, the Americas and Asia from the early 17th to the mid-19th century.
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.51d4f0
title: FAIRsharing record for: Wiley - Cochrane Library - Editorial Policies
title: null

description: This FAIRsharing record describes:  Data policy and author guidance for Cochrane Library by Wiley. The Cochrane Library is a collection of databases that contain different types of high-quality, independent evidence to inform healthcare decision-making.
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: 10.5281/zenodo.14242573
title: Mari4_YARD - Exoskeletons - Dataset

description: The dataset of the Demonstrator of Exoskeletons consists of the Excel file "Mari4_YARD - Exoskeletons - Demonstrator". The Excel file contains both the collected dataset, the analysis performed to extract the KPIs and the final results.