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FAIR Data Reuse – the Path through Data Citation

Paul Groth, Helena Cousijn, Tim Clark, Carole Goble
2019 Data Intelligence  
One of the key goals of the FAIR guiding principles is defined by its final principle – to optimize data sets for reuse by both humans and machines.  ...  In this paper, we discuss how data citation and its underlying infrastructures, in particular associated metadata, provide an important pathway for enabling FAIR data reuse.  ...  FAIR Data Reuse -the Path through Data Citation We encourage data providers, data hosts, and the entire FAIR data community to consider how we can use this already available scaffolding to expose the elements  ... 
doi:10.1162/dint_a_00030 fatcat:un5zvxhfjzct3khsrsvwlqtsyq

Taking a fresh look at FAIR for research software

Daniel S. Katz, Morane Gruenpeter, Tom Honeyman
2021 Patterns  
To make this research software findable, accessible, interoperable, and reusable (FAIR), we need to define exactly what FAIR means for research software and acknowledge that software is a living and complex  ...  The ultimate goal of FAIR is to enable and encourage the use and reuse of software.  ...  Reusable The ultimate goal of FAIR is to optimize the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.  ... 
doi:10.1016/j.patter.2021.100222 pmid:33748799 pmcid:PMC7961177 fatcat:6wg7qwxhanhgdlucatmpeuhno4

Understanding FAIR Data Principles for Open Science

Anup Kumar Das
2021 Zenodo  
The presentation titled "Understanding FAIR Data Principles for Open Science" was delivered in the Refresher Course in Changing Role of Use of ICT, Open Distance Learning, Open Source Resources and Online  ...  • Good data management is the key for data (re)use: • Planning for reuse and publication from the start. • Appropriate recognition of others' data through appropriate citation. • Appropriate rules of use  ...  (Meta)data include qualified references to other (meta)dataThe ultimate goal of FAIR is to optimise the reuse of data.  ... 
doi:10.5281/zenodo.5534579 fatcat:tctgvtzivncnhfxrov27itvmay

Data trajectories: tracking reuse of published data for transitive credit attribution

Paolo Missier
2016 International Journal of Digital Curation  
This is therefore commonly replaced by simpler metrics based on data download and citation counts.  ...  In the longer term, our ultimate hope is that credit models based on direct measures of data reuse will provide further incentives to data publication.  ...  and usage/generation paths in the graph.  ... 
doi:10.2218/ijdc.v11i1.425 fatcat:pmty6qke2nbizcosbi5rjhzn5y

The FAIR Guiding Principles for scientific data management and stewardship

Mark D. Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E. Bourne, Jildau Bouwman, Anthony J. Brookes (+41 others)
2016 Scientific Data  
We also acknowledge and thank the organizers and backers of the NBDC/DBCLS BioHackathon 2015, where several of the authors made significant revisions to the FAIR Principles.  ...  Acknowledgements The original Lorentz Workshop 'Jointly Designing a Data FAIRport' was organized by Barend Mons in collaboration with and co-sponsored by the Lorentz center, The Dutch Techcenter for the  ...  Nevertheless, the FAIR principles provide 'steps along a path' toward machine-actionability; adopting, in whole or in part, the FAIR principles, leads the resource along the continuum towards this optimal  ... 
doi:10.1038/sdata.2016.18 pmid:26978244 pmcid:PMC4792175 fatcat:6ia3reuizbhrfihmoqxm4ns4p4

Microbiome Metadata Standards: Report of the National Microbiome Data Collaborative's Workshop and Follow-On Activities

Pajau Vangay, Josephine Burgin, Anjanette Johnston, Kristen L. Beck, Daniel C. Berrios, Kai Blumberg, Shane Canon, Patrick Chain, John-Marc Chandonia, Danielle Christianson, Sylvain V. Costes, Joan Damerow (+30 others)
2021 mSystems  
To understand how these standards are being adopted, or the barriers to adoption, across research domains, institutions, and funding agencies, the National Microbiome Data Collaborative (NMDC) hosted a  ...  Therefore, data that provide context and enable interpretation of measurements produced from biological samples, often referred to as metadata, are critical.  ...  on the activities).  ... 
doi:10.1128/msystems.01194-20 fatcat:37ybnbvxkfcozm5xb43bcylht4

Microbiome Metadata Standards: Report of the National Microbiome Data Collaborative's Workshop and Follow-On Activities

Pajau Vangay, Josephine Burgin, Anjanette Johnston, Kristen L Beck, Daniel C Berrios, Kai Blumberg, Shane Canon, Patrick Chain, John-Marc Chandonia, Danielle Christianson, Sylvain V Costes, Joan Damerow (+29 others)
2021 mSystems  
To understand how these standards are being adopted, or the barriers to adoption, across research domains, institutions, and funding agencies, the National Microbiome Data Collaborative (NMDC) hosted a  ...  Therefore, data that provide context and enable interpretation of measurements produced from biological samples, often referred to as metadata, are critical.  ...  on the activities).  ... 
doi:10.1128/msystems.01194-20 pmid:33622857 fatcat:v64hgnhln5e4lixb4k2itxmn4y

Unique, Persistent, Resolvable: Identifiers as the Foundation of FAIR

Nick Juty, Sarala M. Wimalaratne, Stian Soiland-Reyes, John Kunze, Carole A. Goble, Tim Clark
2019 Data Intelligence  
The FAIR principles describe characteristics intended to support access to and reuse of digital artifacts in the scientific research ecosystem.  ...  Persistent, globally unique identifiers, resolvable on the Web, and associated with a set of additional descriptive metadata, are foundational to FAIR data.  ...  Data Citation The Joint Declaration of Data Citation Principles (JDDCP) provides a set of guiding principles for publishing and citing research data.  ... 
doi:10.1162/dint_a_00025 fatcat:vbr5g2ovxvexppympqoo7u3zb4

Unique, Persistent, Resolvable: Identifiers as the foundation of FAIR

Nick Juty, Sarala M. Wimalaratne, Stian Soiland-Reyes, John Kunze, Carole Anne Goble, Tim Clark
2019 Zenodo  
The FAIR Principles describe characteristics intended to support access to and reuse of digital artifacts in the scientific research ecosystem.  ...  Persistent, globally unique identifiers, resolvable on the Web, and associated with a set of additional descriptive metadata, are foundational to FAIR data.  ...  Data Citation The Joint Declaration of Data Citation Principles (JDDCP) provides a set of guiding principles for publishing and citing research data.  ... 
doi:10.5281/zenodo.3267433 fatcat:x4yt77yggjbrjj6ado5obkncki

Identifiers: Unique, Persistent, Global

Karen Coyle
2006 The journal of academic librarianship  
The FAIR Principles describe characteristics intended to support access to and reuse of digital artifacts in the scientific research ecosystem.  ...  Persistent, globally unique identifiers, resolvable on the Web, and associated with a set of additional descriptive metadata, are foundational to FAIR data.  ...  Data Citation The Joint Declaration of Data Citation Principles (JDDCP) provides a set of guiding principles for publishing and citing research data.  ... 
doi:10.1016/j.acalib.2006.04.004 fatcat:eybchnbl75enbcwneegvxuxzi4

FAIR Data Action Plan: Interim recommendations and actions from the European Commission Expert Group on FAIR data

Simon Hodson, Sarah Jones, Sandra Collins, Françoise Genova, Natalie Harrower, Daniel Mietchen, Ruta Petrauskaité, Peter Wittenburg
2018 Zenodo  
An interim FAIR Data Action Plan developed by the European Commission Expert Group on Turning FAIR Data into reality.  ...  The FAIR Data Expert Group was also asked to contribute to the evaluation of the Horizon 2020 Data Management Plan template and future revisions in light of harmonisation with funders across the EU, including  ...  through next generation metrics and data citation, and the citation of FAIR Data Objects should be implemented in the scholarly literature for attribution and in research assessment frameworks for recognition  ... 
doi:10.5281/zenodo.1285290 fatcat:npvn4xtykfhxbehlanrvpml3fy

Beyond the matrix

Sebastian Karcher, Dessislava Kirilova, Nicholas Weber
2016 IFLA Journal  
The Qualitative Data Repository (QDR) provides infrastructure and guidance for the sharing and reuse of digital data used in qualitative and multi-method social inquiry.  ...  We conclude by describing the future directions of QDR's services for qualitative data archiving, sharing, and reuse.  ...  Data Citation Some of the earliest research into data citation behavior has occurred in the social sciences, including Joan Sieber's work on the norms and practices of data sharing and reuse (e.g.  ... 
doi:10.1177/0340035216672870 fatcat:h6buau6hs5hqrh6lzuk3oyeuqa

A design framework and exemplar metrics for FAIRness

Mark D. Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier
2018 Scientific Data  
Acknowledgements We thank all colleagues with whom we discussed the creation and application of the FAIR Metrics; S.  ...  We thank the NBDC/DBCLS BioHackathon series where many of these metrics were designed, and the FAIRsharing team. We also acknowledge the effort made by the reviewer-testers  ...  With respect to reuse and citation, we believe that increasing the FAIRness of digital resources maximizes their reuse, and that the availability of an assessment provides feedback to content creators  ... 
doi:10.1038/sdata.2018.118 pmid:29944145 pmcid:PMC6018520 fatcat:zm4p4hqyxbestae6ro3lw4nnqi

Making FAIReR assessments possible. Final report of EOSC Co-Creation projects: "European overview of career merit systems'' and "Vision for research data in research careers"

Henriikka Mustajoki, Janne Pölönen, Kathleen Gregory, Dragan Ivanović, Valerie Brasse, Joonas Kesäniemi, Elina Koivisto, Elina Pylvänäinen
2021 Zenodo  
This report is a deliverable of EOSC Co-Creation projects (i) "European overview of career merit systems" and (ii) "Vision for research data in research careers", funded by the EOSC Co-Creation funding  ...  • There are tools helping in making data from data repositories FAIR and reusing data.  ...  The infrastructure built on top of openly available data through GUI and API facilitates reusing research information produced locally.  ... 
doi:10.5281/zenodo.4701374 fatcat:eaobo7wd5fac7emxtsn2uso7ca

Raising the Profile of Research Software: Recommendations for Funding Agencies and Research Institutions in the Netherlands [article]

Anton Akhmerov, Maria Cruz, Niels Drost, Cees Hof, Tomas Knapen, Mateusz Kuzak, Carlos Martinez-Ortiz, Yasemin Turkyilmaz-van der Velden, Ben van Werkhoven
2020 Zenodo  
Research software is yet not adequately recognised in the scholarly record through citation.  ...  We argue that if open science is to truly lead towards better, more transparent, and reproducible research, then at the policy level, publications, research data and research software must be treated on  ...  Our aim in that meeting 41 was to highlight the importance of research software in contemporary research and its relationship to research data, open science, and reproducibility in research.  ... 
doi:10.5281/zenodo.4015242 fatcat:ghwh3vkv6fdhpoggkmicw74x7i
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