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Research Software Alliance

发布时间:2026-08-09 | 浏览:1
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Our vision: Research software and those who develop and maintain it are recognised and valued as fundamental and vital to research worldwide To advance the research software ecosystem by collaborating with decision makers and key influencers. Joining task forces focused on specific activities Receiving updates through our regular newsletter Encouraging your organisation to become an Organisational Member , support a task force , or make a donation Helping to raise awareness of the importance of software in research through use of ReSA resources Connecting with other community members through our Linked In or at our events Joining the ReSA Slack for decision-makers and key influencers to share what’s happening in the community
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Contributing resources and guidelines ; ideas for task forces , events and news ; or if you have other ideas for ReSA then let us know . We look forward to welcoming you! Enhance social infrastructure for individuals and communities to improve software practices Identify and promote needed infrastructure Encourage and support software recognition Research software is recognised as critical to research outcomes. As early as 2014, a UK survey of 1,000 randomly chosen researchers showed that more than 90% of researchers acknowledged software as being important for their own research, and about 70% of researchers said that their research would not be possible without software. A study of Nature papers from Jan-March 2016 reveals that “32 of the 40 papers examined mention software, and the 32 papers contain 211 mentions of distinct pieces of software, for an average of 6.5 mentions per paper.” [2]. Research software is also critical in artificial intelligence (AI)-driven research, and the technological infrastructure to support AI acceleration must include research software and its personnel. Read our position paper on this vital part of AI infrastructure, which includes recommendations for stakeholders on how to consider research software in their AI goals. Neil Chue Hong, Director, Software Sustainability Institute, University of Edinburgh, UK
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