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Recommendations & Outputs Catalogue

RDA Outputs are the technical and social infrastructure solutions developed by RDA Working Groups or Interest Groups that enable data sharing, exchange, and interoperability.

These Outputs have an important impact in two areas: solving problems, and incorporation and/or adoption in infrastructure environments by individuals, projects and organisations. As an organisation, RDA’s goal is to expand awareness and adoption of these Outputs, and hence their impact, within all regions of the world. RDA Outputs are products of the respective Working or Interest Group and should be demonstrably developed and endorsed by the group. Each Output should have the respective Working or Interest Group listed as an author where appropriate.

RDA Outputs are classified as RDA Recommendations (official, endorsed results of RDA Groups), Supporting Outputs (useful solutions from our RDA Working and Interest Groups) or other Outputs – more information can be found at https://www.rd-alliance.org/what-are-recommendations-and-outputsThey are all listed below and can be searched according to their focus, scientific domain, or by status using the filters on the right. Filters can be combined, too (if more than one filter is selected, results sum up).

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1-10 of 32 Results
Other Output
Engaging Researchers with Data IG – IDEA Podcasts
Review Status: Not Endorsed
Engaging Researchers with Data IG Raman Ganguly, Elli Papadopoulou, James Savage, Briana Wham, Shannon Sheridan, Eva D. Gergely Authors:  Wham, Briana (Pennsylvania State University) and Sheridan, Shannon (Pacific Northwest National Laboratory) Impact: xxx UN Sustainable Development Goals: xxx DOI: 10.5281/zenodo.10611724 Citation: Wham, B., & Sheridan, S. (2022–2023, June 10–, May 18). Season One of IDEA: Improving Data Engagement and Advocacy Podcast. Research Data Alliance.…
November 1, 2023
Other Output
FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles
Review Status: Not Endorsed
Authors: Bridget Walker
The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply with shared standards making them interoperable and reusable in alignment…
July 26, 2023
Other Output
FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles. David et al.
Review Status: Not Endorsed
Authors: Laurence Mabile
Abstract The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply with shared standards making them interoperable and reusable in…
July 26, 2023
Other Output
FAIRness literacy The Achille’s heel of applying FAIR principles- David et al.
Review Status: Not Endorsed
Authors: Laurence Mabile
The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply with shared standards making them interoperable and reusable in alignment…
July 26, 2023
Other Output
Defining Research Software: a controversial discussion
Review Status: Not Endorsed
Authors: Morane Gruenpeter
Software is essential in modern research; it plays vital roles at multiple stages of the research lifecycle. The term Research Software is widely used in the academic community but, what do we mean when we use these terms? Software and research? When you think of software, you may think of a digital object that is…
June 9, 2022
Other Output
FAIR4RS: Adoption support
Review Status: Not Endorsed
Authors: Carlos Martinez-Ortiz
In September 2021, the FAIR4RS WG formed subgroups to address milestones for the adoption of the FAIR4RS principles. This document is the output of subgroup 6, focused on adoption support.
April 14, 2022
Other Output
The FAIR4RS Team: Working Together to Make Research Software FAIR
Review Status: Not Endorsed
Authors: Daniel S. Katz
The FAIR For Research Software Working Group (FAIR4RS WG) is leading the research software community in the crucial step of agreeing how to apply the FAIR principles to research software, including defining the principles and adoption guidelines. This group was convened under the Research Software Alliance (ReSA), the Research Data Alliance (RDA), and FORCE11 (the…
April 12, 2022
Other Output
A Survey on Adoption Guidelines for the FAIR4RS Principles
Review Status: Not Endorsed
Authors: Paula Andrea Martinez
The provision of adoption guidelines will help implement the FAIR4RS Principles. The FAIR4RS Working Group formed subgroups to address milestones (as contained in the case statement), including a subgroup on adoption guidelines, FAIR4RS Subgroup 5. This document provides an overview of the resources identified and reviewed by this subgroup, along with an analysis of gaps,…
March 22, 2022
Other Output
A Fresh Look at FAIR for Research Software
Review Status: Not Endorsed
Authors: Daniel S. Katz
FAIR for Research Software (FAIR4RS) WG Group co-chairs: Michelle Barker, Paula Andrea Martinez, Leyla Garcia, Daniel S. Katz, Neil Chue Hong, Jennifer Harrow, Fotis Psomopoulos, Carlos Martinez-Ortiz, Morane Gruenpeter Other Output Title: A Fresh Look at FAIR for Research Software Authors: Daniel S Katz, Morane Gruenpeter, Tom Honeyman, Lorrain Hwang, Mark D Wilkinson, Vanessa Sochat, Hartwig Anzt, Carole Goble, Impact: Download: https://arxiv.org/pdf/2101.10883.pdf Abstract: This…
March 8, 2022
Other Output
The Open Handbook of Linguistic Data Management
Review Status: Not Endorsed
Authors: Helene N. Andreassen
A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data. Published by MIT Press Open, 2022. “Doing language science” depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward…
February 15, 2022