status: Recognised & Endorsed

Chair (s): Limor Peer, Florio Arguillas, Thu-Mai Christian, Tom Honeyman

Group Email: [group_email]

Secretariat Liaison: Stefanie Kethers


The goal of the working group is 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 will 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.).

 

The WG will deliver,

  1. A snapshot of the current state of CURE-FAIR practices drawing upon community surveys and reviews of practice;
  2. A synthesis of practices relating to curating for computational reproducibility and FAIR principles;
  3. A final document outlining standards-based guidelines for CURE-FAIR best practices in publishing and archiving computationally reproducible studies, including the associated computational methods and materials (target date: January 2022).

 

See more in our case statement.

 

We welcome new members! We're actively working in subgroups, please take a look and join a subgroup if you have a particular interest. Or become a member of the CURE-FAIR WG to get updates!

Posts

11
June
2021

FAIR Principles for Research Software (FAIR4RS Principles) for Community Review

by Paula Andrea Martinez

To our colleagues interested in FAIR4RS, *Apologies for cross posting, feel free to share this invitation*
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07
June
2021

RDA VP17 - Recording Available

by Limor Peer

Dear CURE-FAIR WG members, A recording of the Working Group's Progress Update session at VP17 is now available. See the full program for links to all VP17 sessions. Best, Limor Peer CURE-FAIR WG Co-Chair
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31
May
2021

[CodeMeta] We need you! provide feedback for CodeMeta v3.0 before June 15

by Morane Gruenpeter

Dear all, Apologies for cross-posting. I'm writing to you today to get your feedback on a software metadata matter on the CodeMeta repository . If you haven't heard about the CodeMeta project and vocabulary, CodeMeta is a subset of schema.org classes SoftwareSourceCode and SoftwareApplications, providing additional properties for research software. CodeMeta vocabulary is in a json-ld format and developers can use a codemeta.json file to insert metadata in their repository. This metadata
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17
May
2021

Of possible interest: Data CuRe Fellows Call for Application

by Limor Peer

***With apologies for cross-posting*** Data CuRe Fellows: Call for application (2021-2022 Academic Year)
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20
April
2021

RDA VP17 session CURE-FAIR WG: Progress Update (Breakout 5; repeat Breakout 9)

by Limor Peer

The CURE-FAIR WG session at the 17th Plenary of the RDA will take place on Wednesday, April 21, 2021 at 15:00 - 16:30 (UTC) Breakout 5.
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07
April
2021

[hrpo-fair] Invitation to join us at the next HRPO-FAIR working group meeting at RDA VP17

by Celia Alvarez-Romero

Dear All, We are writing to you due to your past interest in this WG through attendance at one of the previous three birds-of-a-feather (BoF) sessions that were held in RDA P13, P14 and VP15 and its official launch as a WG at VP16, or if you have corresponded with us through other channels. We have organised a session at the upcoming RDA VP17 and which we cordially invite you to attend: our session "WG on Raising FAIRness in health data and health research performing organisations" has been
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19
March
2021

Of possible interest: “Taking the Pulse" on reproducibility

by Limor Peer

Of possible interest to CURE-FAIR WG members: The ACM Emerging Interest Group on Reproducibility and Replicability aims to foster a broad and inclusive intellectual community around the issues of reproducibility of computational research. The group is co-chaired by Victoria Stodden and Philippe Bonnet.
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19
March
2021

WG Report on CURE-FAIR Challenges Available for Community Review

by Limor Peer

Dear colleagues, We're pleased to announce that the first interim output of the CURE-FAIR WG is now available. The report, "Challenges of Curating for Reproducible and FAIR Research Output," was created by subgroup 3 on CURE-FAIR Challenges, and it will be open for community review via Google Docs until April 2, 2021.
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26
February
2021

RDA Virtual Plenary 17 - Notification of Acceptance

by Secretariat Group Account

Dear Chairs of the CURE-FAIR WG, Congratulations! Your RDA Virtual Plenary 17 (VP17) session application titled CURE-FAIR WG: Progress Update has been approved by the Technical Advisory Board (TAB). Please consider this your official notification of acceptance.
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23
February
2021

FAIR4RS Community Consultation Feb-Mar

by Paula Andrea Martinez

The first combined output of the FAIR4RS working group is now available for community review until 10 March 2021.     Hello all,
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