Building a research data platform (QualiBi) for qualitative educational research - Integration and user-orientated reorganisation of separately available qualitative data sets from university and non-university institutions.

建立用于定性教育研究的研究数据平台（QualiBi） - 整合和以用户为导向的重组大学和非大学机构单独提供的定性数据集。

• 批准号: 421052668
• 负责人: Professor Dr. Marc Rittberger
• 金额: --
• 依托单位: DIPF I Leibniz-Institut für Bildungsforschung und Bildungsinformation
• 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: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2023-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/421052668?language=en
• 关键词: Building; research; data; platform; QualiBi

To date, no comprehensive data platform exists for qualitative educational research data, which meets general requirements for a quality-assured, integrative preparation and indexing of data. The project targets the implementation of a federated research data platform (QualiBi) for qualitative educational research data in the German-speaking area. Parallel-existing data from Goethe-University Frankfurtas well as FDZ Bildung at the Leibniz Institute DIPF will be integrated. The data will be systematically processed and presented as a joint data service. This service offers an added value as educational researchers can find a central, consistently structured access point to quality-assured data. This, however, places a high demand on data protection considerations. Moreover, a close cooperation with the researchers serves as a foundation for introducing an acquisition strategy. Datasets that are relevant for re-usage regarding research and teaching will continually be integrated. A special manner of usage is presented by collaboratively organised research workshops. Datasets are indexed and displayed in a uniform way so that the potential of the research output becomes visible and transparent for scientific secondary studies, but also for sciencebased continuing and initial training (particularly teacher education and training in educational science). Therefore, and because of the collaborative development of services, we can expect the usage to gain momentum and increased acceptance. Enhanced possibilities regarding analyses and synchronous as well as diachronic perspectives will be available to the users. Records that are being maintained in parallel ways will be presented from a joint perspective. Relevant content from so far separate disciplinary sub-domains will be added, different data sources and formats will be combined. We can, thus, expect innovative impulses for the entire field of research in educational science in general, as well as the specific areas of research focused by the proponents. Secondary-analytic procedures would thus become more firmly rooted in qualitative research projects. A concrete reference point for activating re-usage in the process is given by the infrastructure. Against this backdrop, it will be possible to continually discuss research-ethical aspects concerning science, practice and politics. A networked workflow is projected as well as a distribution of functions among non-university and university partners, leading to a research-based, organisation-technical model that suits the establishment of a needs-oriented infrastructure, which will be highly connectible to general, interdisciplinary information infrastructural requirements. Therefore, intensive feedback from the general co-operative project for research data in education ("Verbund Forschungsdaten Bildung", VFDB) is taking place. With its specific developmental measures concerning qualitative data, QualiBi is directly situated in this context.

到目前为止，还没有针对定性教育研究数据的综合性数据平台，能够满足对数据进行有质量保证的综合编制和索引的一般要求。该项目的目标是在德语区实施一个联邦研究数据平台（QualiBi），用于定性教育研究数据。来自法兰克福歌德大学以及莱布尼茨研究所DIPF的FDZ建筑的并行现有数据将被整合。这些数据将被系统地处理，并作为联合数据服务提出。这项服务提供了一个附加价值，因为教育研究人员可以找到一个中央的、一致的结构化访问点，以获得质量保证的数据。然而，这对数据保护的考虑提出了很高的要求。此外，与研究人员的密切合作是引进收购策略的基础。与研究和教学重用相关的数据集将不断整合。一种特殊的使用方式是由合作组织的研究研讨会提出的。数据集以统一的方式索引和显示，以便研究产出的潜力对科学中学研究以及基于科学的继续和初始培训（特别是教师教育和教育科学培训）变得可见和透明。因此，由于服务的协作开发，我们可以预期使用将获得动力并增加接受度。用户将获得关于分析和同步以及历时视角的增强可能性。以并行方式维护的记录将从联合的角度呈现。将添加迄今为止独立学科子领域的相关内容，将合并不同的数据源和格式。因此，我们可以期待整个教育科学研究领域的创新冲动，以及支持者所关注的特定研究领域。因此，二级分析程序将更加牢固地扎根于定性研究项目。基础设施提供了在流程中激活重用的具体参考点。在这种背景下，将有可能继续讨论有关科学、实践和政治的研究伦理问题。一个网络化的工作流程，以及在非大学和大学合作伙伴之间的功能分配，导致一个以研究为基础的组织技术模型，适合建立一个面向需求的基础设施，这将是高度连接到一般的，跨学科的信息基础设施需求。因此，教育研究数据综合合作项目（“综合研究数据建设”，VFDB）正在进行大量反馈。由于其在定性数据方面的具体发展措施，qualbi直接处于这一背景下。