Data Curation and Preservation Issues: Budgets, Costs,Staffing, and Skills

 

Budget limitations

Budgetary issues remain one of the most pressing challenges in institutional data curation and preservation, as sustaining long term access to research data requires consistent investment that many organizations struggle to secure. Repositories often rely on short term project grants that cover initial infrastructure but fail to guarantee ongoing maintenance, leading to a cycle where valuable datasets  risks becoming increasing once finding ends. In addition, hidden costs such as staff retention, technical debt from deferred maintenance, and the need for continuous format migration further strain limited budgets. Institutions that treat preservation as a one off project rather than an operational necessity face higher risks of data loss and escalating recovery costs, underscoring the importance of stable, diversified funding models to endure resilience and sustainability (EOSC Association, 2024; Fraga-Gonzalez et al., 2025; Beagrie, 2023).

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Costs of Data Curation and preservation

 Infrastructure costs (Jeffery, 2020).

 Data curation and preservation place heavy demands on institutional resources, both financially and in terms of human expertise.  Institutional must commit substation funding to infrastructure such as servers, cloud storage, and backup systems to ensure long term accessibility of digital assets. These expenses are further intensified by the ongoing need to mitigate data into update formats as technologies evolve. Compliance with standards and quality assurance requires highly trained professionals, whose recruitment, training, and retention add significant costs.  Beyond these visible expenses, hidden costs arise from software licensing, risk management, and the potential financial consequences of data loss if preservation systems fail. Together, these challenges highlights why sustainable findings strategies and long term planning are essential for institutions to safeguard their digital collections effectively (Beagrie, 2012; Fraga-Gonzalez et al., 2025)

Staffing Challenge

Staffing challenges pose a major obstacle to effective data curation and preservation within institutions, Successful preservation requires professionals with expertise in metadata standards, archival practices, and IT systems, yet many organizations struggle to attract and retain individuals who possess this blend of skills. Sustaining a skilled workforce is essential for long term preservation, but high turnover rates, reliance on short term contracts, and limited training opportunities weaken continuity and institutional knowledge. These gaps not only compromise the quality of curation but also heighten the risks of errors, incomplete documentation, and non-compliance with ethical or legal requirements. Addressing staffing issues therefore requires stable funding, investment in professional development, and strategies to build workforce resilience (Yakel, 2007; Beagrie, 2023; Perry & Netscher, 2022).

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Skills and expertise gaps

Digital infrastructure expertise ((EOSC Association, 2024).

 Human expertise is a crucial cost factor in institutional data curation and preservation. Skilled data curators archives, and IT Professionals are essential for applying metadata standards correctly, ensuring ethical and legal compliance, and maintain the integrity of repositories. However, the salaries, ongoing training and retention of such specialized staff represent significant financial commitments’. Budget shortfalls often lead to understanding, which reduces the quality of curation, increase the likelihood of errors, and results in incomplete documentation. Moreover, the loss of the experienced personal can erode institutional knowledge with technical infrastructure expenses, and highlight why sustainable funding models are vital for long term preservation (Fraga-Gonzalez et al., 2025; Beagrie, 2023; Harvey, 2010).     

In conclusion, institutional data curation and preservation face intertwined challenges across budgetary constraints, operational costs, staffing difficulties, and skills gaps. Reliance on short term grants, escalating infrastructure expenses, and hidden costs such as software licensing and risk management place repositories under constant financial strain. At the same time, the recruitment and retention of skilled professional in metadata, archival practices, and IT systems remain critical yet difficult to sustain, with high turnover and limited training pipelines weakening continuity. These combined pressures heighten the risks of data loss, incomplete documentation, and non-compliance with standards. Ensuring long term preservation therefore requires diversified funding strategies, stable investment in infrastructure, and workforce resilience measures to safeguard the accessibility, integrity, and reliability of digital collections for future use.

 

                            REFERENCES

EOSC Association. (2024). Current needs and challenges on data retention, appraisal, and reappraisal across stakeholders and communities. EOSC Association. Retrieved from https://eosc.eu

Fraga-González, G., van de Wiel, H., & Gar, F. (2025). Affording reusable data: Recommendations for researchers from a data-intensive project. Scientific Data. Nature Publishing Group. https://doi.org/10.1038/s41597-025-01987-3 (doi.org in Bing)

Perry, A., & Netscher, S. (2022). Measuring the time spent on data curation. Journal of Documentation, 78(7), 282–304. https://doi.org/10.1108/JD-08-2021-0167

Beagrie, N. (2012). The Value and Impact of Data Sharing and Curation: A synthesis of three recent studies of UK research data centres. JISC.

Harvey, R. (2010). Digital curation: A how-to-do-it manual. Neal-Schuman Publishers.

Jeffery (2020) emphasizes that preservation costs extend beyond storage to include metadata, software, and sensor information

Yakel, E. (2007). Digital curation. OCLC Systems & Services: International Digital Library Perspectives, 23(4), 335–340. https://doi.org/10.1108/10650750710831466 (doi.org in Bing)