Data curation Preservation issues ( Organisational issues )

 Imagine spending years collecting valuable research data only to discover that no one can find, access, or reuse it a few years later. This is not a technological failure; it is often an organisational one. As institutions increasingly depend on digital information for research, governance, and innovation, effective data curation has become essential. Data curation refers to the active management, preservation, and enhancement of data throughout its lifecycle to ensure its continued accessibility and reuse (Digital Curation Centre, 2024). While technological challenges such as media deterioration and software obsolescence receive considerable attention, organisational issues remain the most significant obstacles to sustainable data curation.

At the heart of this problem is the absence of robust governance frameworks. Kanyundo (2022) notes that many institutions, particularly in developing countries, lack clear policies, standards, and guidelines for managing digital resources. As a result, data curation activities are often fragmented and inconsistently implemented. Technology can provide storage and access mechanisms, but without institutional policies that define responsibilities and procedures, preservation efforts are unlikely to succeed. This suggests that organisational preparedness, rather than technological capability, is the true foundation of effective data stewardship.

However, policies alone are not enough. Sustainable data curation also depends on adequate investment in financial, human, and technical resources. Many organisations continue to treat data management as a short-term operational cost rather than a strategic priority. Walters and Skinner (2010) argue that long-term preservation initiatives are more successful when they are embedded within institutional planning and funding structures. In my view, organisations that fail to allocate sufficient resources to curation risk undermining their own institutional memory, accountability, and future research potential. Preserving data should therefore be viewed as an investment in organisational resilience rather than an administrative expense.

Perhaps even more concerning is the lack of collaboration among stakeholders. Effective data curation requires cooperation between researchers, records managers, librarians, information technology specialists, and policymakers. Yet many institutions continue to operate in isolation, limiting opportunities for knowledge sharing and collective stewardship. Kanyundo (2022) highlights the absence of clearly defined responsibilities and partnerships as a major impediment to digital curation initiatives. In an era increasingly shaped by open science and data sharing, organisations must move beyond siloed approaches and embrace collaborative frameworks that support the long term value of digital resources.

Equally important is organisational culture. Even where policies and technologies are available, successful curation depends on whether employees recognise the importance of managing and preserving data responsibly. The FAIR principles advocate for data that is Findable, Accessible, Interoperable, and Reusable, emphasizing the role of institutions in promoting good data management practices (Wilkinson et al., 2016). This raises an important question: how can organisations expect data to remain accessible if staff members are not encouraged to view stewardship as part of their professional responsibility? A culture that values data as a strategic asset is therefore essential for sustainable preservation.

Ultimately, the greatest threat to data curation is not technological failure but organisational inaction. Policies that are never implemented, inadequate funding, fragmented responsibilities, and weak collaboration can undermine even the most advanced digital preservation technologies. As organisations continue to generate vast amounts of data, they must recognize that preserving digital knowledge is a strategic responsibility rather than a technical afterthought. The true measure of successful data curation lies not in the sophistication of the technology employed, but in the commitment of institutions to create environments where data can remain accessible, trustworthy, and reusable for future generations. If organisations fail to address these organisational challenges today, they risk losing not only data but also the knowledge, evidence, and opportunities that data represents tomorrow. Therefore, building strong governance structures, fostering collaboration, and investing in sustainable data stewardship should be viewed as essential priorities for any organisation seeking to remain relevant and accountable in the digital age.

References

Digital Curation Centre. (2024). What is digital curation?

Kanyundo, M. (2022). Data curation: Impediments to digital curation and their practical solutions in Malawi.

Walters, T. O., & Skinner, K. (2010). Economics, sustainability, and the cooperative model in digital preservation. Library Hi Tech, 28(2), 259–272.

Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(160018).