cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.ce6e9d
title: FAIRsharing record for: Common Provenance Model
title: ISO/TS 23494-1:2023

description: This FAIRsharing record describes:  Also known as the "Provenance information model for biological material and data Part 1: Design concepts and general requirements" (ISO/TS 23494-1:2023), the Common Provenance Model is a standard based on W3C PROV, which allows publishing, interlinking and finding provenance information in distributed environments.

Provenance is information describing the lineage of an object, such as a dataset or biological material. Since these objects can be passed between organizations, each organization can document only parts of the objects life cycle. As a result, interconnection of distributed provenance parts forms distributed provenance chains. Dependant on the actual provenance content, complete provenance chains can provide traceability and contribute to reproducibility and FAIRness of research objects. The Common Provenance Model is a lightweight provenance model based on W3C PROV that enables generation of distributed provenance chains in complex, multi-organizational environments. The application of the model is demonstrated with a use case spanning several steps of a real-world research pipeline — starting with the acquisition of a specimen, its processing and storage, histological examination, and the generation/collection of associated data (images, annotations, clinical data), ending with training an AI model for the detection of tumor in the images.

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.8663ee
title: FAIRsharing record for: University of Westminster Research Data Management Policy
title: null

description: This FAIRsharing record describes:  The University of Westminster Research Data Management Policy outlines the obligations of and key expectations for researchers and the institution in relation to the management and preservation of research data and research related records created at the University of Westminster. The policy clarifies the responsibilities of both individual researchers and the institution in relation to good research data management and support.

The policy updates the University of Westminster Research Data Management Policy 2017. It was written in April 2022 and was approved by Academic Council on 07/12/2022; the policy came into effect on 08/12/2022.
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.ebef25
title: FAIRsharing record for: BioExcel - Covid19
title: null

description: This FAIRsharing record describes:  BioExcel-CV19 is a platform designed to provide web-access to atomistic-MD trajectories for macromolecules involved in the COVID-19 disease.
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.06afa9
title: FAIRsharing record for: Dataverse at University of Milan
title: Data@UNIMI

description: This FAIRsharing record describes:  Data@UNIMI is University of Milan's Research Data Repository, based on Dataverse - open source repository software built by Harvard University. The objective of Dataverse  service is to enable research data deposit, management, search, sharing and reuse.  When the researchers deposit their research data in BOARD, they will effectively make their research data public and citable, share their data, ensure long-term preservation, and implement an effective versioning policy. 

All deposited Datasets have necessary metadata that facilitates 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.1d0795
title: FAIRsharing record for: Office of Scientific and Technical Information Software Policy
title: DOE CODE Software Policy

description: This FAIRsharing record describes:  The DOE Office of Scientific and Technical Information (DOE OSTI) developed DOE CODE, providing functionality for collaboration, archiving, and discovery of scientific and business software. DOE OSTI is charged with fulfilling the Department's responsibilities to collect, preserve, and disseminate scientific and technical information (STI), including software, emanating from DOE research and development activities. In addition to DOE OSTI's charge for scientific software, the Office of the Chief Information Officer (OCIO) and DOE OSTI partnered to leverage DOE CODE to maintain a comprehensive inventory of DOE-funded custom-developed business software. In accordance with the Office of Management and Budget Memorandum M-16-21, Federal Source Code Policy: Achieving Efficiency, Transparency, and Innovation through Reusable and Open Source Software, DOE CODE fulfills requirements to maintain an inventory of all DOE-funded custom-developed software and to report this inventory to the government-wide Code.gov website.
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.5247f7
title: FAIRsharing record for: idUS
title: null

description: This FAIRsharing record describes:  idUS is the digital archive that gives access to full text of the scientific production of the University of Seville and their datasets. Its objective is to gather, preserve and disseminate the documents and data resulting from the scientific activity of the University, making the documents and data visible, accessible, recoverable, usable and preservable for any user.
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.4dbb9e
title: FAIRsharing record for: Norwegian Polar Data Centre
title: NPDC

description: This FAIRsharing record describes:  The Norwegian Polar Institute is a governmental institution for scientific research, mapping and environmental monitoring in the Arctic and the Antarctic. The institute’s Polar Data Centre (NPDC) manages and provides access to scientific data, environmental monitoring data, and topographic and geological map data from the polar regions. The scientific datasets are ranging from human field observations, through in situ and moving sensor data, to remote sensing products. The institute's data holdings also include photographic images, audio and video records. 
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.864b08
title: FAIRsharing record for: Virtual Research Environment
title: VRE

description: This FAIRsharing record describes:  Virtual Research Environment (VRE)
The Virtual Research Environment (VRE) is an open-source data management platform that enables medical researchers to store, process and share data in compliance with the European Union (EU) General Data Protection Regulation (GDPR). The VRE addresses the present lack of digital research data infrastructures fulfilling the need for (a) data protection for sensitive data, (b) capability to process complex data such as radiologic imaging, (c) flexibility for creating own processing workflows, (d) access to high performance computing. The platform promotes FAIR data principles and reduces barriers to biomedical research and innovation. The VRE offers a web portal with graphical and command-line interfaces, segregated data zones and organizational measures for lawful data onboarding, isolated computing environments where large teams can collaboratively process sensitive data privately, analytics workbench tools for processing, analyzing, and visualizing large datasets, automated ingestion of hospital data sources, project-specific data warehouses for structured storage and retrieval, graph databases to capture and query ontology-based metadata, provenance tracking, version control, and support for automated data extraction and indexing. The VRE is based on a modular and extendable state-of-the art cloud computing framework, a RESTful API, open developer meetings, hackathons, and comprehensive documentation for users, developers, and administrators. The VRE with its concerted technical and organizational measures can be adopted by other research communities and thus facilitates the development of a co-evolving interoperable platform ecosystem with an active 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.2c2e53
title: FAIRsharing record for: figshare+
title: null

description: This FAIRsharing record describes:  Figshare+ is a generalist, subject-agnostic repository created specifically to support large datasets (over 20GB, up to many TBs) and large files sizes. It is a repository where you can make any type of data or other output of your research publicly available and associate it with related publications and research projects. Figshare+ offers data deposit as a one-time Data Publishing Charge (DPC) to share the datasets and materials supporting a specific publication or project.
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.4a9e19
title: FAIRsharing record for: CURE-FAIR community guidelines: 10 Things for Curating Reproducible and FAIR Research
title: 10 Things for CURE-FAIR

description: This FAIRsharing record describes:  10 Things for Curating Reproducible and FAIR Research (CURE-FAIR) provides standards-based guidelines to follow CURE-FAIR best practices with regards to publishing and archiving computationally reproducible studies, including the associated computational methods and materials. The 10 Things are modular (users can select which Thing is relevant to their needs as well as the level of guidance they prefer: 'Get started', 'Learn more', and 'Go deeper') and customizable. While focusing on social science research that relies on quantitative data, it can be adapted for broader use in life sciences and other long tail small scale research relying on data analysis.
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.bca16f
title: FAIRsharing record for: Danish (Q)SAR Database
title: null

description: This FAIRsharing record describes:  Predictive toxicology database of (Q)SAR models and chemical structures they were trained from.
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.078e37
title: FAIRsharing record for: ARIADNE Dataset Catalogue Model
title: ACDM

description: This FAIRsharing record describes:  data model underlying the catalogue developed by the ARIADNE
A data model for describing the archaeological resources that are made available by the partners of the ARIADNE project for the purposes of discovery, access and integration. These resources include: data resources, such as datasets and collections; services; and language resources, such as metadata formats, vocabularies and mappings. The model is addressed to cultural institutions, private or public, which wish to describe their assets in order to make them known to e-infrastructures.
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.e1b18e
title: FAIRsharing record for: Academic Metadata Format
title: AMF

description: This FAIRsharing record describes:  AMF encodes descriptions of academics, i.e. researchers who produce academic research; resources created and used by academics; at the moment these cover textual resources only but later non-textual resources like software and datasets may be added; organizations that are important in the academic world, including universities, research centers, academic publishers, scholarly societies, funding agencies etc.
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.d19a5f
title: FAIRsharing record for: Atom Syndication Format
title: Atom

description: This FAIRsharing record describes:  Atom defines a feed format for representing and a protocol for editing Web resources such as Weblogs, online journals, Wikis, and similar content. The feed format enables syndication; that is, provision of a channel of information by representing multiple resources in a single document.
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.88dd04
title: FAIRsharing record for: Catalogue Service for the Web
title: CSW

description: This FAIRsharing record describes:  Catalogue Service for the Web (CSW) is an OGC (Open Geospatial Consortium) standard for providing XML metadata of a catalog of spatial data sets over the Internet.  CSW is a profile of the OGC Catalog Service.Catalogue Services support the ability to publish and search collections of descriptive information (metadata) for data, services, and related information objects. 
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.e0565d
title: FAIRsharing record for: da|ra Metadata Schema
title: da|ra MS

description: This FAIRsharing record describes:  The da|ra Metadata Schema is a list of core metadata properties chosen for the identification of data and retrieval purposes.The schema is used during the DOI registration process at da|ra and is based on the DataCite schema.

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.177b2c
title: FAIRsharing record for: Europeana Data Model
title: EDM

description: This FAIRsharing record describes:   The Europeana Data Model (EDM) is a response to the challenge of the heterogeneity of the digital European cultural heritage. It serves to harmonize metadata from data providers in the library, museum, archive, and audiovisual fields, all of which use different metadata standards. The EDM is Europeana’s first data 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.f69e03
title: FAIRsharing record for: MPEG-21 Digital Item Declaration Language
title: MPEG-21 DIDL

description: This FAIRsharing record describes:  The MPEG-21 Digital Item Declaration Language (DIDL) is a XML-packaging specification which aims to set up an abstraction and interoperabilty schema for declaring digital items. Within the MPEG-21 framework, a digital object is enriched with representation, identification, and description.
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.5fdac5
title: FAIRsharing record for: Emblem XML-Schema
title: Emblem XSD

description: This FAIRsharing record describes:  The Emblem XML-Schema was created in the emblematica online project and bases on Stephen Rawles Spine of Information Headings for Emblem-Related Electronic 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.f2b982
title: FAIRsharing record for: American Chemical Society - Journal of the American Chemical Society - Author Guidelines
title: ACS - JACS

description: This FAIRsharing record describes:  All ACS journals strongly encourage authors to make the research data underlying their articles publicly available at the time of publication. According to this criteria, Journal of the American Chemical Society conforms to Level 1 of the ACS Research Data Policy.

Research data is defined as materials and information used in the experiments that enable the validation of the conclusions drawn in the article, including primary data produced by the authors for the study being reported, secondary data reused or analyzed by the authors for the study, and any other materials necessary to reproduce or replicate the results.
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.47ac3e
title: FAIRsharing record for: ACTRIS-ARES Aerosol REmote Sensing Data Centre node
title: ACTRIS-ARES DC Unit

description: This FAIRsharing record describes:  ARES (Aerosol Remote Sensing) is the ACTRIS (Aerosol, Cloud and Trace Gases Research Infrastructure) Data Centre unit for aerosol remote sensing profiling. ACTRIS-ARES host and manage the ACTRIS-EARLINET database, that represents a comprehensive, quantitative, and statistically significant collection of data for the aerosol distribution on European scale. ARES provides data curation, data processing and data access services for ACTRIS aerosol remote sensing data coming from lidar and photometer observations. Additionally, ARES hosts and manage the EARLINET web site and offers data services and digital tools to EARLINET and beyond. Major objectives also include the development and validation of new synergetic remote sensing algorithms, and the continuous evaluation of the representation of atmospheric aerosol parameters in climate and weather forecast models. 
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.97a455
title: FAIRsharing record for: Electronic Theses and Dissertations Metadata Standard
title: ETD-MS

description: This FAIRsharing record describes:  ETD-MS is an interoperability metadata standard for Electronic Theses and Dissertations (ETD), it provides a standard set of metadata elements used to describe an electronic thesis or dissertation.
The standard is recommended by the Networked Digital Library of Theses and Dissertations (NDLTD) as metadata standard.
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.b8e5fa
title: FAIRsharing record for: xepicur - XML-Datentransferformat zur Verwaltung von URN
title: xepicur

description: This FAIRsharing record describes:  XEPICUR is an XML schema for the URN management of the German National Library (DNB). This schema is used to integrate the selective harvesting of URN records by the DNB from a data provider into OAI 2.0. These URN records contain an xml-based metadata record for the URN, its associated URL and some attributes, as well as meta information about changes when, for example, a URL is updated. The schema is used within the technical URN infrastructure of the DNB to register and update URNs with the Deutsche Bibliothek and to provide the revision history of an URN.
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.