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.
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.
批准号:
421052668
负责人:
Professor Dr. Marc Rittberger
金额:
$0.0万
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
项目状态:
已结题
起止时间:
2018-12-31 至 2023-12-31
中文摘要
到目前为止,还没有一个全面的数据平台用于定性教育研究数据,满足了数据质量保证、综合编制和索引的一般要求。该项目的目标是为德语地区的定性教育研究数据实施一个联邦研究数据平台(QualiBI)。来自法兰克福歌德大学和莱布尼茨研究所Fdz Bildung的并行现有数据将被整合。这些数据将进行系统处理,并作为一项联合数据服务列报。这项服务提供了额外的价值,因为教育研究人员可以找到一个集中的、一致结构化的访问点来访问质量保证的数据。然而,这对数据保护方面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入收购战略的基础。与研究和教学有关的可重复使用的数据集将继续整合。通过合作组织的研究研讨会展示了一种特殊的使用方式。数据集以统一的方式编入索引和显示,从而使研究成果的潜力变得可见和透明,不仅可用于科学中等教育,也可用于以科学为基础的继续和初步培训(特别是教育科学方面的教师教育和培训)。因此,由于服务的协作开发,我们可以预期使用将获得势头并得到更多的接受。将向用户提供有关分析和同步以及历时观点的更多可能性。以并行方式保存的记录将从联合角度提出。到目前为止,将添加来自不同学科子域的相关内容,不同的数据源和格式将结合在一起。因此,我们可以期待整个教育科学研究领域的创新动力,以及倡导者关注的特定研究领域。因此,二次分析程序将更牢固地植根于定性研究项目。基础设施提供了在该过程中激活再利用的具体参考点。在这种背景下,将有可能继续讨论研究--关于科学、实践和政治的伦理问题。规划了联网的工作流程以及非大学和大学合作伙伴之间的职能分配,从而形成了一种以研究为基础的组织-技术模式,该模式适合建立一个以需求为导向的基础设施,该基础设施将与一般的跨学科信息基础设施要求高度相连。因此,教育研究数据一般合作项目(“Verbund Forschungsdaten Bildung”,VFDB)正在进行密集反馈。Qualibi凭借其关于定性数据的具体发展措施,直接位于这一背景下。
英文摘要
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.
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