status: Recognised & Endorsed

Chair (s): Limor Peer, FLORIO JR ARGUILLAS, Thu-Mai Christian, Tom Honeyman, Mandy Gooch

Group Email: [group_email]

Secretariat Liaison: enquiries@rd-alliance.org


Curating for FAIR and Reproducible Research

This workgroup has concluded and is now a "historical group". See below for details on lodging issues with the maintainers of the recommendation.

 

The recommendation (output) of the working group is the 10 Things for Curating Reproducible and FAIR Research (DOI: 10.15497/RDA00074)

  • Standards-based guidelines for CURE-FAIR best practices in publishing and archiving computationally reproducible studies.
    • Focus on social science research that relies on quantitative data to produce results.
  • Intended audience:
    • Data curators and information professionals who are charged with verifying that a computation can be executed and can reproduce prespecified results.
    • Researchers, publishers, editors, reviewers, and others who have a stake in creating, using, sharing, publishing, or preserving reproducible research.
  • An updated version of the output is available at https://curating4reproducibility.org/10things/
  • The maintenance home for this output is the Odum Institute and issues with the content can be lodged at the GitHub repository for the site.

 

Other supporting outputs for the working group include:

  • CURE-FAIR Challenges: Describe the challenges of preparing and reusing materials required for computational reproducibility; collect information from various stakeholders about their challenges. DOI: 10.15497/RDA00063
  • CURE-FAIR Annotated Bibliography: Provide a broader understanding of what it means to curate research artifacts (e.g., data, code, software) for the purposes of supporting research reproducibility. https://www.zotero.org/groups/2868459/rda_cure-fair_subgroup_1/library
  • CURE-FAIR Practitioners: Identify organizations/groups that have fully implemented CURE-FAIR workflows and learn about the various ways researchers and research-supporting organizations have implemented data curation tools, services, and/or workflows that support computational reproducibility; develop a standard form to collect profile information from CURE-FAIR implementers. https://bit.ly/2OWWryg

The goal of the working group was to establish standards-based guidelines for curating for reproducible and FAIR data and code (Wilkinson et al., 2016). Informed by an examination of current curation practices and their alignment with FAIR principles, these guidelines offer a framework for implementing effective curation workflows for publishing FAIR data and code that support scientific reproducibility. The ultimate objective is to improve FAIR-ness and long-term usability of “reproducible file bundles” across domains.

 

When we think of specific research outputs, we might think of data, software, codebooks, etc. These individual outputs may have inherent value. For example, a set of observations that is very costly to produce, or that cannot be repeated, or a script that can be used by others for computation. Traditional curation has considered these outputs as its core objects. But in the context of empirical research, these outputs interact with each other, often to produce specific findings or results. Nowadays, the process by which results are generated is captured in computation. Our approach to curation takes into account this process and focuses on computational reproducibility.

 

Computational reproducibility is the ability to repeat the analysis and arrive at the same results (National Academies of Sciences, Engineering, and Medicine, 2019; Stodden, 2015). It requires using the data and code used in the original analysis, and additional information about study methods and computational environment. The reason to pursue computational reproducibility is to preserve a complete scientific record, to verify scientific claims, to do science and build upon the findings, and to teach (Elman, Kapieszewski, & Lupia, 2018; Resnik & Shamoo, 2017; Stodden, Bailey, & Borwein, 2013).

 

In this framework, the object of the curation is a “reproducible file bundle” and its component parts, including the files and their elements (e.g., variables), with the goal of enabling continued access and independent reuse of the bundle for the long term.The CURE-FAIR WG is focused on the curation practices that support computational reproducibility and FAIR principles.

 

By curation we refer to the activities designed for “maintaining, preserving and adding value to digital research data throughout its lifecycle” (Digital Curation Center, n.d.).

 

See more in our case statement.

Posts

28
October
2022

Invitation to participate in 'A Decade of Data: 10 Years of the RDA' events and activities

by Connie Clare

Good day, The RDA Secretariat would like to invite the CURE-FAIR WG to participate in ‘A Decade of Data’: Celebrating 10 Years of the Research Data Alliance’. 10 months to celebrate 10 years of the RDA
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10
October
2022

Thank you to the CURE-FAIR WG members

by Limor Peer

Dear members of the CURE-FAIR Working Group,   We take this opportunity to thank you all for your contribution to the CURE-FAIR WG. Since the summer of 2019, our group grew to more than 125 members who engaged in a variety of ways -- participating in meetings, providing input, conducting research, and collaborating in writing.  
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14
September
2022

Promote and register for RDA CURE-FAIR WG Webinar 22 Sept 21:00 UTC

by Stephanie Hagstrom

Hello CURE-FAIR WG Members - Thank you to the Co-chairs and members of this group for agreeing to present the CURE-FAIR WG activities at a webinar titled 'Introducing 10 Things for Curating Reproducible and FAIR Research" hosted by the RDA-US on 22 September 2022 at 21:00. We are writing to ask for your help please in promoting this webinar to your colleagues (see instructions below) and to invite you to register for the event.
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06
September
2022

Archiving source code in a click! Announcing the updateswh browser extension

by Roberto Di Cosmo

*TL;DR:* it's really all in the image below, you can now archive/update/check source code repositories in just one click (go here to learn more) [image: image.png] *Easing archival, updating and referencing software source code* Archiving software source code, with all its development history, is essential in order to preserve its access over time. We have provided for years the Save Code Now feature that allows users to add or instantly update a single repository in the Software
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31
August
2022

RDA WG-HRPOs: Invitation for adopting the guidelines and recommendations for implementing FAIR policy in health research

by Celia Alvarez-Romero

Dear recipient, We would like to bring your attention to the RDA working group (more details below) and invite you to consider adopting the guidelines and recommendations for implementing FAIR policy in health research. The new Research Data Alliance Working Group on Raising FAIRness in health data and health research performing organisations (HRPOs)
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27
July
2022

Crowd sourced data curation playlist

by Wanda Marsolek

Apologies for cross-posting. Please share broadly! Greetings, In April I made a call for data folks to fill out a survey and share what kind of music you like to listen to when curating data or working with data. Thank you all for your help. I'm sharing the results. Please enjoy! Google Spreadsheet The Crowdsourced data curation playlist spreadsheet provides access to music 66 data librarians and data curators listen to when curating data. Columns in the spreadsheet include what type
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27
July
2022

Funding opportunity for Open, Reusable Research Data and Software

by Roberto Di Cosmo

Dear all, I would like to attract your attention to *a new funding opportunity for Open & Re-usable Research Data & Software* . The following section of the call is for those of you who are interested in *research software*. *3. Processes and tools to describe, share, reference and archive software source code, in particular with the goal to enhance reproducibility of research results.* The objective is to develop tools and processes that leverage existing initiatives, such as the Software Heritage universal
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27
June
2022

New FAIRsharing Community Curation Programme: Call for Participants

by Allyson Lister

We are proud to announce the official launch of the FAIRsharing Community Curation Programme! Together with our initial set of community curators, who have helped us prototype the programme and have already received attribution and other benefits, we are now actively seeking additional community curators across all subject areas (Engineering, Natural Sciences, and Humanities and the Social Sciences). In particular, we are looking to increase our provision within the Social Sciences and Humanities.
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09
June
2022

RDA Plenary 19 [Part of IDW 2022]: Invitation to attend the session "Finalising guidelines for FAIR adoption in health research performing organisations"

by Celia Alvarez-Romero

Dear all, We would like to encourage you to join the session of the WG on Raising FAIRness in health data and health research performing organisations , which we are organising at the RDA 19th Virtual Plenary Meeting, part of the International Data Week . This meeting will primarily demonstrate the work that has been undertaken and showcase the outputs that have been generated in the form of a set of clear guidelines for the FAIR implementation in health research performing organisations (HRPOs), aiming to finalise the work
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02
June
2022

Invitation to attend the CURE-FAIR WG session at RDA P19

by Limor Peer

Dear CURE-FAIR members, We look forward to seeing many of you at the RDA Plenary later this month!
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