Weekly Summary on Data Curation Preservation Issues: Organisational Issues

Data curation involves the active management, preservation, and enhancement of research data throughout its lifecycle to ensure long-term accessibility, usability, authenticity, and reuse. While technological challenges often receive considerable attention, organisational issues remain among the most significant barriers to effective data curation and digital preservation. These issues influence how institutions plan, implement, and sustain preservation initiatives over time

One of the primary organisational challenges is the lack of institutional commitment and strategic leadership. Successful data curation programmes require strong support from senior management to ensure that preservation activities are incorporated into institutional strategies and operational plans. Where leadership support is weak, data curation is often viewed as a secondary activity rather than a core institutional responsibility, resulting in inadequate resource allocation and poor implementation of preservation policies. Research has shown that sustainable digital preservation depends heavily on organisational viability, administrative responsibility, and leadership commitment (Currie & Kilbride, 2021)

Funding and resource constraints represent another major organisational issue. Data curation requires substantial financial investment in technological infrastructure, skilled personnel, storage systems, and ongoing maintenance. Many institutions, particularly in developing countries, struggle to secure consistent funding for preservation activities. Consequently, repositories and preservation initiatives often rely on short-term grants or external donors, creating uncertainty regarding long-term sustainability. Sustainable preservation programmes require dedicated institutional budgets and long-term financial planning rather than dependence on temporary project funding (Kanyundo, 2022)

The absence of comprehensive policies and governance frameworks also hinders effective data curation. Organisational policies provide guidance on data ownership, preservation responsibilities, retention schedules, access rights, and compliance requirements. Without clearly defined policies, institutions face difficulties in coordinating preservation activities and ensuring accountability. Studies emphasise that trusted digital repositories depend on robust governance structures, clearly defined responsibilities, and preservation policies aligned with recognised standards such as the Open Archival Information System (OAIS) model (ICPSR, 2023)

Another significant issue concerns the shortage of skilled personnel and professional expertise. Effective data curation requires specialists with competencies in metadata management, digital preservation, repository administration, data management planning, and research data stewardship. Many organisations experience shortages of qualified personnel, while existing staff often receive insufficient training in emerging preservation technologies and standards. The continuous evolution of digital technologies further increases the need for ongoing professional development and capacity building (Thomer et al., 2022)

Organisational culture and awareness also affect preservation efforts. In some institutions, researchers and administrators may not fully appreciate the value of data curation or the risks associated with data loss. This limited awareness can result in poor compliance with data management practices, inadequate documentation, and weak participation in preservation initiatives. Furthermore, data curation work is often undervalued and treated as an invisible activity despite its critical role in supporting research reproducibility and long-term data reuse (Thomer et al., 2022; Sporsem et al., 2021)

Finally, collaboration and coordination challenges frequently arise within and across institutions. Effective data curation requires cooperation among librarians, archivists, information technology specialists, researchers, and institutional leaders. Weak communication and fragmented responsibilities can create duplication of effort, inconsistencies in practice, and inefficiencies in preservation workflows. Sustainable data curation therefore depends on coordinated governance structures and collaborative networks that support shared expertise and resources (Data Curation Network, 2022)

In conclusion, organisational issues constitute a critical dimension of data curation preservation challenges. Leadership commitment, sustainable funding, policy development, skilled personnel, organisational awareness, and collaborative governance are all essential for ensuring the long-term preservation and accessibility of research data. Institutions that effectively address these organisational factors are better positioned to support data reuse, research integrity, and knowledge preservation

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  • References
  • Currie, A., & Kilbride, W. (2021). FAIR forever? Accountabilities and responsibilities in the preservation of research data
  • Data Curation Network. (2022). Data Curation Network: Version 2. https://datacurationnetwork.org
  • ICPSR (2023) Digital Preservation Policy Framework
  • Kanyundo, M. (2022). Data curation: Impediments to digital curation and their practical solutions in Malawi. Domasi College of Education.n
  • Sporsem, T., Hatling, M., & Mikalsen, M. (2021). Invisible data curation practices: A case study from facility management.
  • Thomer, A. K., Weber, N. M., Jett, J., & Lee, C. A. (2022). The craft and coordination of data curation: Complicating workflow views of data science
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