EAGER: Implementing Effective Sharing of Research Data

本项目调查了爱荷华州州立大学的教师和研究人员对电子研究数据共享和再利用的现行做法和态度。 联邦政策鼓励，实际上在许多情况下要求研究人员重新使用由联邦资助的研究项目产生的研究数据集。 一些先前的研究发现，虽然学者们广泛肯定的研究数据共享的原则上的价值，他们往往在实践中未能共享自己的数据的格式，可供重用。 本研究旨在探讨开放科学理念与实践之间的差异原因，为制定更有效的数据共享政策提供证据基础，并促进大学基础设施的发展，以更好地支持研究数据共享。 这项研究的结果将有助于制定和实施数据共享政策，更有效地促进数据的再利用，同时降低调查人员和大学遵守这些政策的成本。 增强的数据共享反过来将有助于更快的科学进步。该项目与爱荷华州州立大学的一项新的机构倡议相吻合，该倡议旨在为数据共享和再利用的理想建立更强大的机构支持，调查中的一个中心问题是什么样的机构方法在支持增加数据共享方面最有效。 教师和研究人员的初步调查将用于建立现有的正式和非正式的做法，数据共享和数据再利用及其变化的学科，职业阶段，和其他研究人员的特征的基线措施。 18至24个月后进行的后续调查将评估支持数据共享的新大学政策和基础设施对数据共享的影响。此外，还将分析研究者对资助项目数据管理计划的跟踪信息，该奖项反映了NSF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进行评估，被认为值得支持的搜索.

This project investigates current practices and attitudes relating to the sharing and re-use of electronic research data among faculty and research staff at Iowa State University. Federal policy encourages and indeed requires in many cases that researchers make available for re-use research datasets created as a result of federally funded research projects. A number of previous studies have found that although scholars widely affirm the value of research data sharing in principle they have often failed in practice to share their own data in formats that are accessible for re-use. This project investigates the reasons for the divergence between the ideals of open science and actual practice to provide an evidence base for the development of more effective and efficient policies for data sharing and to facilitate development of university infrastructure to better support research data sharing. The results of this research will contribute to the development and implementation of data sharing policies that are more effective in facilitating data re-use while reducing the cost to investigators and universities of compliance with these policies. Enhanced data sharing will, in turn, contribute to more rapid scientific progress.The project coincides with a new institutional initiative at Iowa State University to establish more robust institutional support for the ideals of data sharing and re-use, and a central question in the investigation is what institutional approaches are most effective in supporting increased data sharing. An initial survey of faculty and research staff will be used to establish a baseline measure of existing formal and informal practices for data sharing and data re-use and their variations by discipline, career stage, and other investigator characteristics. A follow up survey administered 18 to 24 months later will assess the impact on data sharing of new university policies and infrastructure to support data sharing. In addition, information on investigator follow through with data management plans for funded projects will be analyzed, and data on implicit and explicit costs of implementing data management plans will be collected and analyzed to illuminate the extent to which these costs affect compliance.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.