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Changes to the affiliation policy#1921

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caterina-doglioni wants to merge 3 commits intoHSF:mainfrom
caterina-doglioni:main
Open

Changes to the affiliation policy#1921
caterina-doglioni wants to merge 3 commits intoHSF:mainfrom
caterina-doglioni:main

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@caterina-doglioni
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This PR adds changes to the projects and affiliation pages that were mentioned in an email to the SG, namely:

  • Change the "Tiers" wording with respect to the original EVERSE one to reflect comments made by @graeme-a-stewart
  • Mentioned that the affiliated projects decide their software category by themselves (minor doubt: what if the reviewers don't agree? Should we have a light-touch review of this?)
  • Turn the differential criteria for software of different tiers into desirable criteria that is not necessary for affiliation
  • Add mentions and contextualisation page for connections to ICFA and EVERSE
  • Soften the "number of developers" criteria

I'd be very happy to have comments on the wording and text, we can also discuss this at the next SG before merging.

Tagging @roiser @graeme-a-stewart @eduardo-rodrigues for a read and a review.

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@eduardo-rodrigues
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Hello @caterina-doglioni, and thank you very much!

I see that you did not work atop my other PR #1918 on the updates to the affiliation programme. I will see if I can rebase/"merge" but otherwise we can review and in the end merge together.

Agreed that we can leave the PRs open since it is easy enough to use the preview to check the new version, when diffs are non-obvious sometimes.


## The EVERSE project

EVERSE is a EU-funded project (GA 101129744, HORIZON-INFRA-2023-EOSC-01-02) aiming to create a framework for research software and code excellence, collaboratively designed and championed by the research communities, in pursuit of building a European network of Research Software Quality and setting the foundations of a future Virtual Institute for Research Software Excellence.
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EVERSE is a EU-funded project (GA 101129744, HORIZON-INFRA-2023-EOSC-01-02) aiming to create a framework for research software and code excellence, collaboratively designed and championed by the research communities, in pursuit of building a European network of Research Software Quality and setting the foundations of a future Virtual Institute for Research Software Excellence.
[EVERSE](https://everse.software) is a EU-funded project (GA 101129744, HORIZON-INFRA-2023-EOSC-01-02) aiming to create a framework for research software and code excellence, collaboratively designed and championed by the research communities, in pursuit of building a European network of Research Software Quality and setting the foundations of a future Virtual Institute for Research Software Excellence.


EVERSE is a EU-funded project (GA 101129744, HORIZON-INFRA-2023-EOSC-01-02) aiming to create a framework for research software and code excellence, collaboratively designed and championed by the research communities, in pursuit of building a European network of Research Software Quality and setting the foundations of a future Virtual Institute for Research Software Excellence.

EVERSE has the following objectives:
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Just in case, is there an EVERSE document one can refer to here or at the bottom of this list/section for a comprehensive description? Guess so, and probably a good thing to provide the pointer.


EVERSE has the following objectives:
* Build a collaborative, community-led structure for evaluating, verifying, and improving the quality of research software and code, by actively involving researchers, software developers, and other stakeholders in the research community.
* Leverage existing tools and resources to support the evaluation, verification and improvement of research software and code quality, based on existing practices and standards across research communities represented by the five EOSC Science Clusters. ESCAPE is the cluster for Physics & Astronomy, including the HL-LHC ESFRI among others.
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I think this is the first mention of EOSC. It may deserve a "footnote" and also a link.

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Ditto for ESCAPE.

* Build a collaborative, community-led structure for evaluating, verifying, and improving the quality of research software and code, by actively involving researchers, software developers, and other stakeholders in the research community.
* Leverage existing tools and resources to support the evaluation, verification and improvement of research software and code quality, based on existing practices and standards across research communities represented by the five EOSC Science Clusters. ESCAPE is the cluster for Physics & Astronomy, including the HL-LHC ESFRI among others.
* Establish a sustainable and collaborative ecosystem of stakeholders across the research communities associated with the five EOSC Science Clusters to ensure research software and code quality assurance and support the advancement of reliable and reproducible research.
* Provide a framework that will ensure appropriate recognition, reward, and career development for researchers and RSEs who implement research software and code quality assurance practices and policies.
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* Provide a framework that will ensure appropriate recognition, reward, and career development for researchers and RSEs who implement research software and code quality assurance practices and policies.
* Provide a framework that will ensure appropriate recognition, reward, and career development for researchers and Research Software Engineers (RSEs) who implement research software and code quality assurance practices and policies.


## The ICFA Data lifecycle panel

The ICFA Panel on the Data Lifecycle is an international group of researchers under the International Committee for Future Accelerators with a mandate to review recommendations around everything concerning data in particle physics, ranging from raw acquisition and reconstruction, through analysis and simulation, and all the way to long-term data and analysis preservation.
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Ditto for introduction of ICFA

## The ICFA Data lifecycle panel

The ICFA Panel on the Data Lifecycle is an international group of researchers under the International Committee for Future Accelerators with a mandate to review recommendations around everything concerning data in particle physics, ranging from raw acquisition and reconstruction, through analysis and simulation, and all the way to long-term data and analysis preservation.
Its mission covers software, workflows, computing, and networking alongside the more traditional data management concerns, with a focus on open science and FAIR practices.
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Ditto for FAIR

The ICFA Panel on the Data Lifecycle is an international group of researchers under the International Committee for Future Accelerators with a mandate to review recommendations around everything concerning data in particle physics, ranging from raw acquisition and reconstruction, through analysis and simulation, and all the way to long-term data and analysis preservation.
Its mission covers software, workflows, computing, and networking alongside the more traditional data management concerns, with a focus on open science and FAIR practices.

In practical terms, the panel aims to produce practical recommendations and serve as a point of contact for practical issues in addition to helping ICFA formulate policies. This panel also explicitly works to improve recognition of the nature and value of work on the data lifecycle in researchers' CVs and support career development, acknowledging that software and computing contributions have historically been undervalued in the field.
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In practical terms, the panel aims to produce practical recommendations and serve as a point of contact for practical issues in addition to helping ICFA formulate policies. This panel also explicitly works to improve recognition of the nature and value of work on the data lifecycle in researchers' CVs and support career development, acknowledging that software and computing contributions have historically been undervalued in the field.
In practical terms, the panel aims to produce practical recommendations and serve as a point of contact for practical issues in addition to helping ICFA formulate policies. The panel also explicitly works to improve recognition of the nature and value of work on the data lifecycle in researchers' CVs and support career development, acknowledging that software and computing contributions have historically been undervalued in the field.

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