Connecting Researchers in Sharing and Re-Use of Research Data and Software

在联邦资助和出版商政策的帮助下，开放科学实践在全球范围内得到了广泛的采用，同时也得到了越来越多的关注和对共享工作价值的认识。鉴于当前的covid - 19大流行，这一点在很大程度上是显而易见的，数据共享推动了许多研究领域，开放软件资源必须不断发展，以满足研究人员的需求。为了满足研究界对数据和软件共享支持的新需求和不断增长的需求，Dryad和加州数字图书馆于2018年合作，Dryad和Zenodo于2019年合作。这些合作伙伴关系使这三个组织能够重新思考数据和发布流程，探索数据管理、软件保存和输出重用更无缝地结合在一起的方法。这个项目是一个为期一天的邀请研讨会，汇集了不同背景的研究人员和邻近的社区成员，讨论再利用研究数据和软件的需求、挑战和优先事项。会议的目标是发展与不同科学学科的个人和团体持续接触的途径，以便与研究人员的需求和目标建立联系并作出反应。会议主题包括数据集重用、存储指导、管理标准和要求、数据和代码之间的集成和关系，以及倡导和采用。预期的产出是一组更好地实现数据和软件共享和重用的要求和需要。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Open science practices have gained widespread adoption, globally, with the help of federal funding andpublisher policies, as well as the increasing visibility and growing awareness of the value of sharingwork. This has been largely evident in light of the current COVID19 pandemic, with data sharing drivingmany areas of research, and open software resources must evolve to meet the needs of researchers. To meet the emerging demands and growing requirements of the research community who need support for both data and software sharing, Dryad and California Digital Library partnered in 2018 and Dryad and Zenodo partnered in 2019. These partnerships have allowed for the three organizations to re-think the data and publishing processes, explore ways for data curation, software preservation, and for output re-use to be tied together more seamlessly. This project is a one-day, invitational workshop bringing together researchers and adjacent community members with diverse backgrounds to discuss needs, challenges, and priorities for re-using research data and software. The goal of the meeting is to develop pathways for consistent engagement with individuals and groups across the diverse scientific disciplines in order to be connected with and responsive to researchers' needs and goals. Meeting topics include dataset re-use, deposition guidance, curation standards and requirements, integrations and relationships between data and code, and advocacy and adoption. The anticipated outputs are a set of requirements and needs to better enable data and software sharing and re-use.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.