Improving Reproducibility In SciencE (iRISE)

有条理地了解不可再生性的驱动因素，并提出工具和干预措施的具体解决办法，将有助于提高科学证据的质量、可靠性和可重用性。为此，IRISE建议为具体干预措施的有效性提供理论和经验证据，并为制定、评估和实施旨在提高可再现性的干预措施提供一个强有力的循证路线图的框架。IRISE汇集了来自学术界和中小企业的定性和定量专业知识，包括元科学、统计学、经济学、人工智能、研究伦理和诚信、质量保证和项目管理。IRISE建议开发一个通用框架，利用分析和计算建模、模拟和元研究来诊断和解决可重复性问题。将对现有干预措施的数据进行系统的整理和评估，并将征求利益攸关方的意见，以协作确定应优先执行的做法和工具。IRISE建议对技术解决方案和以实践为基础的解决方案进行实证研究，以增加重现性。在研究所的所有活动中，将调查研究文化的影响，重点是将公平、多样性和包容性做法的系统整合纳入主流。将邀请一个全面的利益攸关方论坛提供咨询意见，iRise将致力于开放和可复制的做法。生成的不同类型的证据将被整合到一个开放的知识库中，以支持社区进行决策，以确定、测试和实施有效和可行的重复性解决方案。IRISE的成员过去在稳健性、严谨性和可再现性方面做出了关键的科学和政策贡献，并拥有在这一雄心勃勃的项目中取得成功的技能和工具，该项目在欧洲和其他地区都有潜在的科学、经济和社会收益。

Structured understanding of the drivers of irreproducibility and presenting concrete solutions of tools and interventions will help to increase the quality, reliability and re-usability of scientific evidence. To this end, iRISE proposes to provide theoretical and empirical evidence of the effectiveness of specific interventions, and a framework for a robust, evidence-based road map for the development, assessment and implementation of interventions intended to improve reproducibility. iRISE brings together qualitative and quantitative expertise, from academia and SMEs, including meta-science, statistics, economics, artificial intelligence, research ethics and integrity, quality assurance, and project management. iRISE proposes the development of a general framework for diagnosing and addressing reproducibility problems using analytical and computational modelling, simulations and meta-studies. Data on existing interventions will be systematically curated and evaluated, and stakeholders will be consulted to collaboratively identify practices and tools that should be prioritised for implementation. iRISE proposes to conduct empirical studies of both technical and practice-based solutions to increase reproducibility. Across all iRISE activities, the influences of research culture will be investigated, with a focus on mainstreaming systematic integration of equity, diversity and inclusion practices. A comprehensive Stakeholder Forum will be engaged to provide advice, and iRISE will commit to open and reproducible practices. The different types of evidence generated will be integrated into an open knowledge base to support the community in decision-making to identify, test, and implement effective and feasible solutions for reproducibility. The members of iRISE have made pivotal scientific and policy contributions relating to robustness, rigour and reproducibility in the past and have the skills and tools to succeed in this ambitious project that has potential scientific, economic and societal gains both in Europe and beyond.