Purpose

This study aims to identify the readiness of institutional repositories in Indonesia to implement digital humanities (DH) data curation. Data curation is a method of managing research data that maintains the data’s accuracy and makes it available for reuse. It requires controlled data management.

Design/methodology/approach

The study uses a qualitative approach. Data collection was carried out through a focus group discussion in September–October 2022, interviews and document analysis. The informants came from four institutions in Indonesia.

Findings

The findings reveal that the national research repository has implemented data curation, albeit not optimally. Within the case study, one of the university repositories diligently curates its humanities data and has established networks extending to various ASEAN countries. Both the national archive repository and the other university repository have implemented rudimentary data curation practices but have not prioritized them. In conclusion, the readiness of the national research repository and the university repository stand at the high-capacity stage, while the national archive repository and the other university repository are at the established and early stages of data curation, respectively.

Research limitations/implications

This study examined only four repositories due to time constraints. Nonetheless, the four institutions were able to provide a comprehensive picture of their readiness for DH data curation management.

Practical implications

This study provides insight into strategies for developing DH data curation activities in institutional repositories. It also highlights the need for professional development for curators so they can devise and implement stronger ownership policies and data privacy to support a data-driven research agenda.

Originality/value

This study describes the preparations that must be considered by institutional repositories in the development of DH data curation activities.

中文翻译：

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准备对印度尼西亚四个机构存储库实施数字人文数据管理

目的

本研究旨在确定印度尼西亚机构存储库实施数字人文 (DH) 数据管理的准备情况。数据管理是一种管理研究数据的方法，可保持数据的准确性并使其可供重复使用。它需要受控的数据管理。

设计/方法论/途径

该研究采用定性方法。数据收集是通过 2022 年 9 月至 10 月的焦点小组讨论、访谈和文件分析进行的。这些线人来自印度尼西亚的四家机构。

发现

调查结果显示，国家研究存储库已经实施了数据管理，尽管不是最佳的。在该案例研究中，其中一所大学数据库认真整理其人文数据，并建立了延伸至东盟各个国家的网络。国家档案存储库和其他大学存储库都实施了基本的数据管理实践，但没有优先考虑它们。总之，国家研究存储库和大学存储库的准备工作处于高容量阶段，而国家档案存储库和其他大学存储库分别处于数据管理的建立和早期阶段。

研究局限性/影响

由于时间限制，本研究仅检查了四个存储库。尽管如此，这四家机构仍能够全面了解他们对 DH 数据管理管理的准备情况。

实际影响

本研究深入探讨了在机构存储库中开展 DH 数据管理活动的策略。它还强调了策展人专业发展的必要性，以便他们能够制定和实施更强有力的所有权政策和数据隐私，以支持数据驱动的研究议程。

原创性/价值

本研究描述了机构存储库在开展 DH 数据管理活动时必须考虑的准备工作。