status: Recognised & Endorsed

Chair (s): Roberto Di Cosmo, Neil Chue Hong, Julia Collins

Group Email: [group_email]

Secretariat Liaison: enquiries[at]rd-alliance.org


Software source code plays a critical role in all fields of modern research, where source code is written and developed to address a variety of needs, like cleaning, processing and visualising data.

 

Software source code is a necessary component for research reproducibility and reusability. 

 

Thus software source code should be properly curated in the same way as other research inputs and outputs such as research data and paper publication. Software source code developers and organisations that sponsor software development should also be properly credited and attributed.

 

This interest group will provide a forum to discuss issues on management, sharing, discovery, archival and provenance of software source code. It will pay special attention to source code that generates research data and plays an important role in scientific publications.

 

Information about sessions held at RDA Plenary Meetings can be found on the Group Wiki.

 

Posts

10
September
2021

RDA Virtual Plenary 18 - Notifications of Acceptance

by Secretariat Group Account

Dear Chairs of the Software Source Code IG, The Technical Advisory Board (TAB) has completed its review of session applications for the RDA Virtual Plenary 18 (VP18) and has accepted your application titled Software Source Code and Reproducibility. Please consider this your official notification of acceptance. Congratulations!
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09
September
2021

Sept 23 webinar FAIR Principles for Research Software (FAIR4RS WG)

by Stephanie Hagstrom

Hello RDA WG and IG members - We are pleased to announce the FAIR4RS Working Group will be presenting a webinar titled: FAIR Principles For Research Software on 23 Sep 2021 - 17:00 to 18:00 UTC, hosted by the RDA-US. We hope you will attend. This webinar will present the history of how the Working Group evolved, an overview of the recently published group output FAIR principles for Research Software, and the challenges and limitations identified when creating the principles for FAIR Research Software.
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12
August
2021

RDA VP18 Session Proposal Submission

by Secretariat Group Account

Dear Software Source Code IG members, Thank you for your session proposal for Virtual Plenary 18 titled “Software Source Code and Reproducibility”. A review of all submitted proposals is now underway by the RDA Technical Advisory Board, with notifications of acceptance planned to be sent by 10 September. Please feel free to contact the RDA Secretariat at ***@***.***-alliance.org with any questions or concerns you have regarding your submission. Thank you. Regards, RDA Secretariat
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09
July
2021

Re: [software-source-code-ig][scid][cure-fair][fair4rs] Breaking news: Software and Software Heritage in the new National Plan for Open Science in France

by Roberto Di Cosmo

Thanks Victoria, we still have a long path in front of us, but an engagement at Ministry level like this will open quite a few doors: let's keep up the good work. A non official translation of the original french document is now available at: https://www.ouvrirlascience.fr/second-national-plan-for-open-science/ Despite the imperfect english, it is well worth reading in detail: it contains a wealth of measures that cover all areas of Open Science. Best
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08
July
2021

Re: [software-source-code-ig][scid][cure-fair][fair4rs] Breaking news: Software and Software Heritage in the new National Plan for Open Science in France

by Victoria Dominguez Del Angel

Thank you for sharing this Roberto. Indeed, this is an important step for software that is now, at the same level as publication and data. All best, Victoria ====*contact information ================ Victoria Dominguez Del Angel, PhD orcid.org/0000-0002-5514-6651 ================= Sent with [ProtonMail](https://protonmail.com/) Secure Email.
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07
July
2021

Breaking news: Software and Software Heritage in the new National Plan for Open Science in France

by Roberto Di Cosmo

Dear all, I am delighted to share a great breaking news: yesterday afternoon the French Ministry of Research unveiled the second multi-annual National Plan for Open Science in France, that squarely puts software on a par with publications and data in research and Open Science, and announces a number of measures designed to open research software and better recognize software development in research. The official document is available online from the website of the French Ministry of Research
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28
June
2021

[software-source-code-ig] session application for VP18th

by Morane Gruenpeter

Hello all, First, let me share with you that the video of the Software-Source-Code IG VP17 session is now accessible on YouTube: https://youtu.be/Nif-Ax7ViGs
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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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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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18
May
2021

Data Versioning WG Webinar - Invitation/Promotion Help

by Jamie Lupo-Petta

  Hello.  We are writing to invite you to an upcoming webinar presented by the RDA Data Versioning Working Group, and to also request your help with promoting the event.    The webinar is on May 27 at 23:00 UTC (4:00 PT) and is entitled “Versioning Data Is About More than Revisions: A Conceptual Framework and Proposed Principles”.  The talk will introduce six foundational principles for versioning of datasets: Revision, Release, Granularity, Manifestation, Provenance and Citation.  
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