Exploring Preservation of Research Data and its Context through Case Studies

The shift from document-centric to data-centric approaches in the research process presents new challenges and opportunities for long-term data preservation. This presentation addresses these issues by examining specific case studies below that illustrate the complexities and solutions in preserving data related to research activities. Additionally, it will discuss the growing focus on management practices, the establishment of institutional policies, and the development of project-specific Data Management Plans (DMPs). Digital Humanities Research Data: This involves preserving text analysis and visualization scripts, as well as copyrighted content used as source data. Focus points include how to preserve and pass down complex algorithms beyond mere data organization, handle the migration of outdated visualization scripts, and manage copyright issues, including permission applications. Linked Data and IIIF Data: This example covers databases and digital archives in the form of Linked Data and IIIF. In the background, we have original data in CSV format, transformed RDF/Turtle, and images, along with the scripts used for data organization and conversion. Key challenges include handling relatively large datasets, managing data that falls under institutional responsibility beyond individual researchers or projects, and preserving the history of data organization and interpretation despite the difficulties in drawing clear boundaries between them. Data related to research activities should include not only research outputs, processes, and underlying resources but also documents related to the administration of research communities. This approach ensures the transparency of research practices at the community level and conveys this transparency to future generations. As an example, I will introduce the translation of documents related to research integrity, highlighting the role of web archiving technology. To bridge generations of researchers, it is essential to develop methodologies that ensure the longevity and semantic consistency of preserved data. By exploring these case studies, we aim to identify the necessary steps and tools required to maintain the accessibility and interoperability of research data. Additionally, by considering the roles of projects and institutions, we can better ensure the successful transmission of data across generations, thus fostering a more collaborative and inclusive research environment.