课题基金 / 基金详情

BERD@NFDI - NFDI for Business, Economic and Related Data

BERD@NFDI - NFDI for Business, Economic and Related Data
BERD@NFDI - 商业、经济和相关数据的 NFDI
批准号:
460037581
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
NFDI technical and methodological consortia
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
商业、经济和其他社会科学的研究领域都与社会中个人和组织之间的关系有关。为了理解这些复杂的系统,社会科学学科长期以来一直使用实证方法。然而,非结构化和非标准数据,即没有先前定义的数据模型或没有以预定义方式组织的信息(例如,来自社交媒体的图像或视频)的相关性正在增加。社会和经济中连续数据流的产生(数据化)加强了这一趋势:据估计,到2025年,经济应用中处理的80%的数据将以非结构化形式提供。由于庞大的规模,更重要的是,原始数字数据缺乏结构和异质性,BERD@NFDI社区呼吁创新和可重用的方法,主要来自人工智能和机器学习,以及合适的存储和计算环境,以一种可以用于进一步科学分析的方式处理数据。因此,算法成为研究数据生命周期的一个组成部分,因此必须以与数据本身相同的方式进行管理。在这种背景下,BERD@NFDI的使命是开发、提供和维护一个面向未来的、强大的研究数据基础设施,用于非结构化数据和相关科学软件的集成管理。有了这个重点和对开放(例如,开放软件,开放标准)的明确承诺,BERD@NFDI可以成为建立NFDI的重要而独特的马赛克石。BERD@NFDI将通过持续设计合适的服务来协调和实现可持续的研究过程。它将不仅仅为数据和科学软件提供存储位置,而且还将提供严格符合科学用户社区实际需求的服务组合。用户反馈将通过BERD@NFDI培训计划、技术集成的交互功能和制度化的用户参与联盟委员会结构来保证。该联盟由曼海姆大学牵头,由七家共同申请机构组成,包括基础设施提供商和专注于商业、经济和其他社会科学的研究机构。他们中的许多人有着长期繁荣合作的传统,这使得联盟具有很高的效率和有效性,从而成功地实施了雄心勃勃的工作计划。最后,透明的治理结构,明确的责任,以及以用户为中心的多利益相关者方法,将确保BERD@NFDI的成功,并将为NFDI整体的成功做出结构性贡献。
英文摘要
The research domains of business, economics, and other social sciences are concerned with the relationships among individuals and organizations within a society. To understand these complex systems, social science disciplines have been using empirical methods for a long time. However, unstructured and non-standard data, i.e., information that either does not have a previously defined data model or is not organized in a predefined manner (e.g., images or videos from social media), are gaining in relevance. The generation of continuous data streams in society and economy (datafication) strengthens this trend: It is estimated that by 2025 80% of the data processed in economic applications will be available in unstructured form. Because of the sheer size and, more importantly, the lack of structure and the heterogeneity of raw digital data, the BERD@NFDI community calls for innovative and reusable methods, mostly from artificial intelligence and machine learning, as well as a suitable storage and computing environment to process the data in a way that it can be used for further scientific analyses. Consequently, algorithms become an integral part of the research data life cycle and thus have to be managed in the same way as the data itself. Within this context, the mission of BERD@NFDI is to develop, provide, and maintain a future-oriented, powerful research data infrastructure for the integrated management of unstructured data and related scientific software. With this focus and a clear commitment to openness (e.g., open software, open standards) BERD@NFDI can be an important and unique mosaic stone to build up the NFDI. BERD@NFDI will coordinate and enable sustainable research processes through the ongoing design of suitable services. It will not provide a mere storage location for data and scientific software, but a service portfolio that will be strictly aligned to the actual needs of the scientific user community. User feedback will be ensured through the BERD@NFDI training program, technically integrated interaction features, and institutionalized user participation in the consortium's committee structure. The consortium is headed by the University of Mannheim and is composed of seven co-applicant institutions including infrastructure providers and research institutions with a focus on business, economics, and other social sciences. Many of them have a long-lasting tradition of prosperous collaboration, which leverages the consortium to a high level of efficiency and effectiveness to successfully conduct the ambitious work program. Finally, the transparent governance structure with clear responsibilities together with a user-centric, multi-stakeholder approach will ensure the success of BERD@NFDI and will make a structural contribution to the success of the NFDI as a whole.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金