X-Hub: An Infrastructure for the Multi-disciplinary Secondary Use of Data from Experimental Studies in Economics and Social Sciences, with a Focus on Benchmark and Large Groups Experiments

X-Hub：经济和社会科学实验研究数据多学科二次利用的基础设施，重点是基准和大群体实验

• 批准号: 251955964
• 负责人: Dr. Claus-Peter Klas
• 金额: --
• 依托单位: Institut für Wirtschaftssoziologie
• 依托单位国家: 德国
• 项目类别: Research data and software (Scientific Library Services and Information Systems)
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/251955964?language=en
• 关键词: Hub; Infrastructure; Multi; disciplinary; Secondary

The experimental method is used in a rapidly increasing number of studies in both economics and the social sciences. These sub-disciplines share many topics - public goods, large groups, social preferences - and many theoretical puzzles. But latest findings are hardly visible across community borders. One consequence is that vastly different methodological approaches and criteria are applied, without much transparency about that circumstance. Therefore this project aims to establish an infrastructure that fosters transparency, replicability, and reuse of experimental data across disciplinary borders. Diverging methods and paradigms applicable to primary data sets shall become visible at first sight, such that researchers from any sub-discipline can find and evaluate the data and research under their particular disciplinary perspective. The basis for this will be provided by implementing core elements of any typical research data service unit. A data repository with a low threshold for new data deposits from experimental researchers will be established. Concepts for long-term archiving will be prepared. Metadata schemes will be defined and metadata created, initially taking the perspective of each involved discipline. Persistent identifiers will provide citable research data, and finally, the data will be made available to an international community for secondary use. The added value of using a multi-disciplinary approach will be realized by creating metadata of a 'higher order', which allows for different perspectives on the same data. The elements and the usefulness of the new infrastructure will be put to the test by archiving selected studies from experimental economics, experimental sociology and experimental political science that address research questions under the topic of large groups and benchmark experiments. Substantive and methodological research on the existing data will reveal gains that can be made by merging the experimental economics and social science research traditions. Therefore, a welcome side-benefit of the project will be the opportunity to evaluate the research yield of intensively curated data-sharing services in a real-life example.

在经济学和社会科学中，越来越多的研究都使用了实验方法。这些子学科有许多共同的主题--公共产品、大群体、社会偏好--以及许多理论难题。但最新的发现在社区边界之外几乎看不到。一个后果是，采用了截然不同的方法和标准，对这种情况没有太大的透明度。因此，该项目旨在建立一个基础设施，以促进实验数据的透明度、可复制性和跨学科边界的重复使用。适用于原始数据集的不同方法和范例应一目了然，以便来自任何子学科的研究人员可以在其特定的学科视角下找到和评估数据和研究。这一基础将通过实施任何典型的研究数据服务单位的核心要素来提供。建立低门槛的实验研究人员新增数据储存库。将准备长期存档的概念。将定义元数据方案并创建元数据，最初将从每个涉及的学科的角度进行考虑。永久识别器将提供可引用的研究数据，最后，这些数据将提供给国际社会供二次使用。使用多学科方法的附加值将通过创建更高级别的元数据来实现，这允许对同一数据进行不同的视角。新基础设施的要素和实用性将受到考验，方法是将实验经济学、实验社会学和实验政治学的精选研究存档，这些研究以大型团体和基准实验为主题，解决研究问题。对现有数据的实质性和方法论研究将揭示通过融合实验经济学和社会科学研究传统可以取得的成果。因此，该项目的一个受欢迎的附带好处将是有机会在现实生活中评估密集管理的数据共享服务的研究成果。