983 research outputs found
Commitment Statement to Enabling FAIR Data in the Earth, Space, and Environmental Sciences
No full text<p>As a part of the Enabling FAIR Data project, a community-driven project led by the American Geophysical Union, developed a commitment statement defining for each stakeholder group their role in making data open and FAIR. In specific, moving data out of the publication’s supplementary information and into a scientific repository where it can be curated and preserved supporting discovery and furthering science.</p>
<p>Community stakeholders include repositories, publishers, funders, societies, scientific communities, institutions, research data infrastructure, and researchers. </p>
<p><a href="http://www.copdess.org/enabling-fair-data-project/commitment-to-enabling-fair-data-in-the-earth-space-and-environmental-sciences/">http://www.copdess.org/enabling-fair-data-project/commitment-to-enabling-fair-data-in-the-earth-space-and-environmental-sciences/</a></p>
<p>All are welcome to consider the statement and be signatories. </p>
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Workflow Recommendations for Enabling FAIR Data in the Earth, Space, and Environmental Sciences
No full textAs a part of the Enabling FAIR Data project led by the American Geophysical Union, the "Workflow Recommendations Between Data Repositories and Publishers" Targeted Adoption Group adopted and adapted work developed originally by the THOR project, funded by the European Union. These workflows define the activities and handoffs between scientific repositories and scholarly journals to link manuscripts/publications with the supporting data and other research products. We successfully adopted workflows built by the THOR project (https://project-thor.eu) for linking data with scholarly literature to ensure a common process across the stakeholder ecosystem. By using the work of THOR we avoided a lengthy research effort and could move directly into determining a solution.Thank you to the members of the THOR team to allow us access to their pre-publication project materials
Interview Questions to Assess Current Plans and Implementations of the FAIR Principles by Data Repositories in Earth, Space, and Environmental Sciences
No full text<p>As a part of the Enabling FAIR Data project led by the American Geophysical Union, the Repository Guidance Targeted Adoption Group discussed and designed an interview protocol to understand the ways that data repositories in the Earth, space, and environmental sciences (ESES) currently implement and plan to implement the FAIR Principles. Interviews were conducted with eleven data repositories to guide the activities of the project in encouraging findable, accessible, interoperable, and reusable research data, including the development of the Repository Finder tool (<a href="http://repositoryfinder.datacite.org/">http://repositoryfinder.datacite.org</a>) and support for a cohort of ESES repositories to seek CoreTrustSeal certification as trustworthy digital repositories.</p>
Author Guidelines for Enabling FAIR Data in the Earth, Space, and Environmental Science
No full text<p>As a part of the Enabling FAIR Data project led by the American Geophysical Union, the Publishers in the Earth and Space Sciences Targeted Adoption Group developed a set of author guidelines to establish common expectations for researchers across all journals concerning data that support a publication to be adopted by all Earth, space and science journals. These guidelines were developed by individuals representing the following publishers: the American Geophysical Union, Wiley, Proceedings of the National Academy of Sciences (PNAS), Nature, Science/AAAS, Elsevier, American Meteorological Society, PLOS and organizations including NCAR and DataCite.</p>
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Data Repository Selection Decision Tree for Researchers in the Earth, Space, and Environmental Sciences
No full textThe AGU Enabling FAIR Data project’s Repository Guidance Targeted Adoption Group developed a detailed decision tree to understand all possible criteria that researchers should consider when determining an appropriate repository in which to deposit their data. The tree is applicable to most domains of research, funding scenarios and project stages (i.e., proposal vs. project completion), and considers requirements with which the researcher may need to comply and the availability of suitable repositories to meet their needs. The decision tree was used to inform the development of the Repository Finder tool (http://repositoryfinder.datacite.org), a new resource designed for use by researchers in need of locating a “repository home”. With more than 2,200 data repositories available worldwide, this tool helps to meet a crucial need of researchers to learn about and select the most appropriate repository to deposit their data. It was initially scoped for application in the Earth, space, and environmental science repositories, but its design should enable it to to scale to include other domains and other, emerging criteria or lists of recommended repositories
Enabling FAIR Data – The Importance of our Scientific Repositories (Chinese National Science Data Centers)
No full textEnabling FAIR Data - The Importance of our Scientific Repositories
Invitation to the Chinese National Science Data Centers to be a part of the Enabling FAIR Data stakeholder community as well as a member of the cohort for CoreTrustSeal certification.
Recording: https://youtu.be/f7c80m2lvgg
The Enabling FAIR Data project is an international, community-driven effort in the Earth, space, and environmental sciences that promotes that the data and software supporting our research is to be deposited in a community-accepted, trusted repository and cited in the paper. Journals will no longer accept data only placed in the supplemental information of the paper. The supplement is not an archive and does not provide the necessary information about the data, nor is there any way to discover the data separate from the paper. Repositories provide the critical infrastructure in our research ecosystem, managing and preserving data and software for future researchers to discovery and use.
As a signatory of the Enabling FAIR Data Commitment Statement repositories agree to comply with the defined tenets. Not all repositories provide the same level of services to researchers or their data holdings. Many researchers find it difficult to select the right repository and understand the process for depositing their data. Through better coordination between journals and repositories journals can guide researchers to the right repository for deposition. This is a significant benefit to authors, but there are unintended challenges that result. Here we will discuss the Enabling FAIR Data project, the successes, and the continued effort necessary to make sure our data is treated as a “world heritage.”
Resources:
AGU's Data Position Statement: https://www.agu.org/Share-and-Advocate/Share/Policymakers/Position-Statements/Position_Data
Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3:160018 doi: 10.1038/sdata.2016.18 (2016)
Enabling FAIR Data Project: https://copdess.org/enabling-fair-data-project/
Enabling FAIR Data Project Commitment Statement: https://copdess.org/enabling-fair-data-project/commitment-statement-in-the-earth-space-and-environmental-sciences/
Enabling FAIR Data Project Commitment Statement Signatories: https://copdess.org/enabling-fair-data-project/commitment-statement-in-the-earth-space-and-environmental-sciences/signatories/
Stall, S, et al. (2019), Make scientific data FAIR, Nature 570, 27-29 (2019) doi: 10.1038/d41586-019-01720-
FAIR-IMPACT project response to "Community-driven governance of FAIRness assessment: an open issue, an open discussion"
No full textAt the end of 2022, an author group led by the EOSC Association Task Force on FAIR Metrics and Data Quality published ‘Community-driven governance of FAIRness assessment: an open issue, an open discussion’ which, as the title suggests, aims to foster an open debate with the community around FAIRness governance and the mechanism(s) that could be used to implement it. The FAIR-IMPACT project is keen to take part in this open community discussion, as many tasks and activities in this project focus on advancing FAIR assessment metrics and tools in various ways
Towards a European network of FAIR-enabling Trustworthy Digital Repositories (TDRs): - A Working Paper
No full textThis working paper is a bottom-up initiative of a group of stakeholders from the European repository community. Its purpose is to outline an aspirational vision of a European Network of FAIR-enabling Trustworthy Digital Repositories (TDRs). This initiative originates from the workshop entitled “Towards exploring the idea of establishing the Network”. The paper was created in close connection with the wider community, as its core was built on community feedback and the first draft of the paper was shared for community-wide consultation. This paper will serve as input for the EOSC Task Force on Long Term Digital Preservation. One of the core activities mentioned in the charter of this Task Force is to produce recommendations on the creation of such a network. The working paper puts together a vision of how a European network of FAIR-enabling TDRs could be based on the community’s needs and its most important functions: Networking and knowledge exchange, stakeholder advocacy and engagement, and coordination and development. The specific activities hosted under these umbrella functions could address the wide range of topics that are important to TDRs. Beyond these functions and the challenges they address, the paper presents a framework to highlight aspects of the Network to further explore in the next steps of its development
FAIR-IMPACT project response to "Community-driven governance of FAIRness assessment: an open issue, an open discussion"
No full textAt the end of 2022, an author group led by the EOSC Association Task Force on FAIR Metrics and Data Quality published ‘Community-driven governance of FAIRness assessment: an open issue, an open discussion’ which, as the title suggests, aims to foster an open debate with the community around FAIRness governance and the mechanism(s) that could be used to implement it. The FAIR-IMPACT project is keen to take part in this open community discussion, as many tasks and activities in this project focus on advancing FAIR assessment metrics and tools in various ways.
FAIR-IMPACT supports the implementation of FAIR-enabling practices, tools and services across scientific communities at a European, national and institutional level. One of our overall objectives is to expand FAIRness assessment metrics and tools to cover a broader scope of digital objects (data, software, semantic objects) as well as to add community-specificity to the metrics and tools. Working so closely with FAIR assessment metrics and tools, as well as being involved in the projects’ synchronisation efforts to better harmonise the current landscape, we acknowledge and experience the complications that the lack of governance entails for the field of FAIR and assessment. This document presents our thoughts and views on the whitepaper and is our public effort for participation in the community discussion
Defining Data Interoperability Frameworks: ACME-FAIR Issue #5
No full textData interoperability is key to the FAIR principles, yet can be challenging to put into practice. This document provides guidance on practices involved in achieving data interoperability, more specifically, practices around data citation, persistent identifiers (PIDs), semantic resources, and metadata. All of these create a data interoperability framework and are important building blocks of a FAIR ecosystem. The purpose of such a framework is to set some specific requirements for the digital objects that it will be applied to. Generally these include that the digital object/data need to be accompanied by standardised metadata for it to be cited and be unambiguously identified, using a persistent identifier. The metadata should also describe the object according to a community-endorsed vocabulary, richly enough for it to be understandable and reusable by anyone in that community. In addition, the data files that comprise the object need to be represented in common and open formats.
ACME-FAIR is a 7-part guide developed in the FAIRsFAIR project, whose main purpose is to help managers of Research Data Management and related professional services to self-assess how they are enabling researchers, and the professional staff who support them, to put the FAIR data principles into practice (for short we refer to this as ‘FAIR-enabling practice’). This part addresses the key issue of Defining Data Interoperability Frameworks
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