cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.2d0755
title: FAIRsharing record for: Cambridge University Press - Research Directions: Sleep Psychology - Journal Policy
title: CUP - RD Sleep Psychology

description: This FAIRsharing record describes:  Research Directions: Sleep Psychology is a journal for psychologists and sleep researchers whose work aims to answer critical theoretical, methodological, and application-level questions related to the psychology of sleep, dreams, and biological rhythms. Sleep psychology is an emerging, interdisciplinary field dedicated to examining the psychological nature, functions, and mechanisms of sleep, as well as the various psychological factors influenced by sleep, such as emotions, thoughts, behaviours, and mental disorders. The journal will publish questions on topics such as, sleep mentation, the impact of sleep on cognitive, behavioural, and psychosocial functioning, memory consolidation during sleep, the role of sleep in emotional regulation, the relationship between sleep and mental health, psychological aspects of sleep disorders, psychological dimensions of sleep health, and the use of psychological interventions to improve sleep and circadian rhythms. Authors are invited to submit all research outputs including results, analysis, impact papers, datasets, presentations, and grant proposals to this journal and its companion community site. This record describes the data policy for this journal.
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.1e9c98
title: FAIRsharing record for: Cambridge University Press - Research Directions: One Health - Journal Policy
title: CUP - RD One Health

description: This FAIRsharing record describes:  One Health is a collaborative, multisectoral, and transdisciplinary approach—working at the local, regional, national, and global levels—with the goal of achieving optimal health outcomes recognizing the interconnection between people, animals, plants, and their shared environment. Research Directions: One Health focuses on interdisciplinary outputs that employ a One Health approach at the interface between humans, animals and their environment, such as disease prevention, surveillance and management (i.e., preparedness and response). Core disciplines include health-specific such as medicine, veterinary medicine, pathobiology, epidemiology, and disease ecology. In addition, allied disciplinary areas such as ecology, mathematical modelling, toxicology, systems thinking, political ecology and economics are interrogated for results and innovative solutions to health problems. This record describes the data policy for this journal.
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.8e3219
title: FAIRsharing record for: Cambridge University Press - Research Directions: Cyber-Physical Systems - Journal Policy
title: CUP - RD Cyber-Physical Systems

description: This FAIRsharing record describes:  Cyber-Physical Systems (CPS) integrate embedded computers and networks with physical processes. They depend on feedback loops between computation and physical processes, data analytics, and AI. Their engineering needs cooperation between different engineering disciplines. Development and deployment require new integrated scientific theories and engineering techniques. They will deliver advances in areas such as green buildings, autonomous vehicles, traffic flow management, emergency response, smart grids, industrial control, personalised healthcare, robotics. Research Directions: CPS is focused on exploring fundamental questions about the theory and practice crossing all traditional engineering disciplines. Research Directions will follow the research lifecycle and share ideas as these questions develop. We will use a rigorous peer-review process and provide an alternative, ideally faster, way to disseminate timely and innovative results that the community agree are essential for progress. The scope of the research questions, challenges, and hypotheses are: applications; design methods; design technology; high integrity CPS; implementation; systems; technology; theory; verification & validation. This record describes the data policy for this journal.
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.a2e44a
title: FAIRsharing record for: Cambridge University Press - Research Directions: Mine Closure and Transitions - Journal Policy
title: CUP - RD Mine Closure and Transitions

description: This FAIRsharing record describes:  Research Directions: Mine Closure & Transitions aims to investigate the ways in which mines are closed such that they deliver environmental, social, cultural and economic value. This will include examination of how closed mine sites and related assets can be repurposed, and how to enable Just Transitions for mining regions and communities through closure. The journal provides a vehicle for bringing new insights to international attention, promote new methods and tools that can underpin more rapid advances, draw attention to data that challenges existing orthodoxies and encourage the sharing of novel research findings from many disciplines that are most relevant to resolving critical uncertainties. The journal will connect academia and industry, providing rapid access to research findings regarding applied, scientifically complex problems to meet societal expectations and demands and help the mining industry contribute to achieving sustainable development goals. This record describes the data policy for this journal.
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.d1f84b
title: FAIRsharing record for: Cambridge University Press - Research Directions: Quantum Technologies - Journal Policy
title: CUP - RD Quantum Technologies

description: This FAIRsharing record describes:  Quantum technologies takes advantage of quantum effects, such as quantum entanglement and superposition, to enhance the performance of existing applications or enable new capabilities. By exploiting quantum behaviour of photons, electrons, atoms, and condensed matter, they have the potential to: deliver increased information processing power; secure communications; achieve high-precision positioning, navigation, and timing; greatly improve sensing and detection; and revolutionize sectors such as information technology, health, defence, manufacturing, and transport. The Research Directions: Quantum Technologies journal supports researchers throughout the innovation process and fosters multidisciplinary collaboration to advance this field. This record describes the data policy for this journal.
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.0c69f7
title: FAIRsharing record for: Cambridge University Press - Research Directions: Depression - Journal Policy
title: CUP - RD Depression

description: This FAIRsharing record describes:  Research Directions: Depression aims to bring new insights to international attention, promote new methods and tools that can underpin rapid advances and draw attention to data that challenge existing biomedical, psychological and social orthodoxies. They encourage the active and timely sharing of novel research findings from many disciplines. The focus is on what new or existing information is required to solve pressing problems and answer the central questions. The journal invites authors to answer the questions that matter most to those who are most affected. Authors can contribute with Results, Analysis, Impact papers, datasets, presentations, grant proposals, methods papers and much more to this journal and its companion community site. This record describes the data policy for this journal.
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.021787
title: FAIRsharing record for: FORCE 11 Software Citation Principles
title: null

description: This FAIRsharing record describes:  The FORCE 11 Software Citation Principles cover a consolidated set of citation principles to encourage broad adoption of a consistent policy for software citation across disciplines and venues. FORCE 11 Software Citation Principles were first published in 2016 by the FORCE11 Software Citation Working Group (SCWG). Building on the previous work done by the FORCE11 SCWG, the new Software Citation Implementation Working Group (SCIWG) has now started to implement these principles. The FORCE11 SCIWG continues to work with relevant stakeholders (publishers, librarians, archivists, funders, repository developers, other community forums with related working groups, etc.) on implementation of these principles. 
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.634a55
title: FAIRsharing record for: Energy Data Centre
title: EDC

description: This FAIRsharing record describes:  The Energy Data Centre holds research data, metadata only records for data; grey literature and information on funded projects in the energy research field.  It is a capability of the UK Energy Research Centre and is funded by UKRI. UKERC's vision is "Independent whole systems research for a sustainable energy future" and the EDC's vision within that is "access to energy information now, and for the future"
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.03bb0d
title: FAIRsharing record for: The TRUST Principles for digital repositories
title: TRUST Principles

description: This FAIRsharing record describes:  The TRUST principles for digital repositories are a set of guiding principles to demonstrate digital repository trustworthiness. Transparency, Responsibility, User focus, Sustainability and Technology: the TRUST Principles provide a common framework to facilitate discussion and implementation of best practice in digital preservation by all stakeholders. The FAIR Principles highlight the need to embrace good practice by defining essential characteristics of data objects to ensure that data are reusable by humans and machines: they should be Findable, Accessible, Interoperable, and Reusable, i.e. FAIR. However, to make data FAIR whilst preserving them over time requires trustworthy digital repositories (TDRs) with sustainable governance and organizational frameworks, reliable infrastructure, and comprehensive policies supporting community-agreed practices. While repository managers and their teams are the primary audience for other trustworthiness certification mechanisms (e.g. CoreTrustSeal), in an Open Science context the TRUST Principles are aimed at a broader audience, including funders and repository users, who may benefit from its framework, especially given the increasing attention given to scientific data stewardship
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.6adc52
title: FAIRsharing record for: Springer Nature - BMC Genome Medicine - Manuscript Guidance
title: BMC Genome Medicine

description: This FAIRsharing record describes:  Genome Medicine is an open access journal publishing outstanding research in the application of genetics, genomics and multi-omics to understand, diagnose and treat disease, bridging the basic science and clinical research communities. Their publication policy combines selection for broad interest and importance with a commitment to serving authors well.This journal recommends 1) the resources listed directly within this record, and 2) all resources listed in this record's parent policies (see the "extends" relationship).  
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.df383c
title: FAIRsharing record for: W3C XML Schema Definition Language Part 1: Structures
title: XSD

description: This FAIRsharing record describes:  XML Schema Definition Language (XSD): Structures is to define the nature of XSD schemas and their component parts, provide an inventory of XML markup constructs with which to represent schemas, and define the application of schemas to XML documents. XML Schema 1.1 (in two parts) is a W3C Recommendation. It is intended to be mostly compatible with XML Schema 1.0 and to have approximately the same scope, but also to fix bugs and make whatever improvements we can, consistent with the constraints on scope and compatibility. The two parts are: XML Schema 1.1 Part 2: Datatypes, and XML Schema 1.1 Part 1: Structures.
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.93e91c
title: FAIRsharing record for: SFI Policies and Guidance on Open Research
title: SFI Open Research Policy

description: This FAIRsharing record describes:  Research Ireland was established on 1st August 2024, following an amalgamation of Science Foundation Ireland (SFI) and the Irish Research Council (IRC). Research Ireland policies are in development, but the organisation currently carries forward policies from its predecessor organisations.

Science Foundation Ireland (SFI) is committed to Ireland’s goal of ensuring that all outputs resulting from publicly funded research are openly available. To this end, SFI endorses national and international best practice in Open Research, namely the National Framework on the Transition to an Open Research Environment and the UNESCO Recommendation on Open Science.  SFI has aligned its Open Access policy with the principles espoused by Plan S (cOAlition S), an initiative to make full and immediate Open Access to research publications a reality.
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.f371f8
title: FAIRsharing record for: IDG Ion Channel Activity Resource Reporting Standards
title: null

description: This FAIRsharing record describes:  Ion channel activity resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.
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.eef60f
title: FAIRsharing record for: Cambridge University Press - Environmental Data Science - Research Transparency
title: CUP - EDS

description: This FAIRsharing record describes:  Environmental Data Science is an open access journal dedicated to the use of data-driven approaches to understand environmental processes - including climate change - and aid sustainable decision-making. The data and methodological scope is defined broadly to encompass artificial intelligence, machine learning, data mining, computer vision, econometrics and other statistical techniques. To promote more transparent and reproducible research, we ask authors submitting to Environmental Data Science to provide a Data Availability Statement in the manuscript to help readers understand how they can access the data, code and other resources that support the research findings. Environmental Data Science believes that research articles should contain sufficient information to allow others to understand, verify, and replicate findings.
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.0b81f3
title: FAIRsharing record for: IDG Expression Resource Reporting Standards
title: null

description: This FAIRsharing record describes:  Reporting standards for expression data, for the Illuminating the Druggable Genome (IDG) consortium.
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.7a52df
title: FAIRsharing record for: Maynooth University Research Integrity Policy
title: null

description: This FAIRsharing record describes:  Maynooth University recognises the need and benefit of formally setting out its position on research integrity and good research practice. Adherence to the highest standards in research is a central and critical responsibility of the National University of Ireland Maynooth and all its individual researchers. It is imperative that the integrity of the University’s research is ensured, both as an essential principle for its own sake, and also in light of the responsibility we have to the wider society that both funds and uses the University’s research. Members of the University have the responsibility to act in accord with the highest standards of integrity and to conform with all legal and University codes of practice and policies, and this research integrity policy should be interpreted in such a manner that is consistent with the university’s general commitment to the highest standards of professional conduct.
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.5bd47f
title: FAIRsharing record for: Research Procedures Guide for Managing Funded Research Projects at SETU Waterford Campus
title: SETU Research Procedures Guide

description: This FAIRsharing record describes:  Relevant, innovative and impactful research is at the core of our activities at South East Technological University (SETU). The Research Support Unit (RSU) based on the Waterford Campus is committed to assisting Researchers with all aspects of their funded research activity from pre-award planning to post-award reporting. The present document details processes and procedures, delineating the respective roles and duties of all parties.
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.5b9dbc
title: FAIRsharing record for: University of Glasgow Code of Good Practice In Research
title: null

description: This FAIRsharing record describes:  This Code of Good Practice in Research provides information and support available to ensure the University’s research practice meets these standards. This policy is a wider policy that replaces our previous research data management policy.  Research data management requirements are not outlined in this policy with further guidance and advice signposted.
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.077b5a
title: FAIRsharing record for: Cambridge University Press - Language and Cognition - Journal Policy
title: CUP - Language and Cognition

description: This FAIRsharing record describes:  Language and Cognition is an open access venue for the publication of high-quality empirical research focusing on the interface between language and cognition. It is open to research from the full range of subject disciplines, theoretical backgrounds, and analytical frameworks that populate linguistics and the cognitive sciences. They specialise in empirical work that is quantitative in nature, especially work that uses experimental or corpus methods.

In addition to the traditional areas of cognitive linguistics (e.g., construction grammar, metaphor theory, linguistic relativity, sensorimotor simulation), they welcome research which considers theoretical linguistic questions within a broader cognitive context. They generally do not consider applied work, such as classroom based research, or studies focused on education, language aptitude or language teaching. Language and Cognition is the official journal of the UK Cognitive Linguistics Association.

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.