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DATA CURATION: BUDGETS, COSTS, STAFFING AND SKILLS

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Data curation involves the management, preservation, organization, and maintenance of digital materials to ensure their long-term accessibility and usability. Although data curation is essential in research institutions, libraries, archives, governments, and organizations, several preservation challenges affect its effectiveness. Among the most significant issues are limited budgets, high preservation costs, inadequate staffing, and shortages of technical skills. These challenges can weaken digital preservation efforts and place valuable information resources at risk (Abbott, 2008). One major preservation issue in data curation is inadequate funding. Digital preservation requires continuous financial support because digital materials must be maintained, updated, and protected over long periods of time (Yakel, 2007). Many institutions operate under limited budgets and may struggle to allocate sufficient funds for data storage systems, backup infrastructure, cybersecurity measures, and p...
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DATA CURATION PRESERVATION ISSUES: (Organisational)

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  Data curation refers to the active and ongoing management of data throughout its lifecycle to ensure that it remains accessible, reliable, and usable for current and future research purposes. Effective data preservation is a critical component of data curation, particularly in an era where research institutions generate large volumes of digital data. However, organizations often encounter several challenges that hinder the successful preservation of curated data. One major organizational issue is the lack of clear data governance policies. Many institutions do not have comprehensive frameworks that define responsibilities, standards, and procedures for data management and preservation. Without clear policies, inconsistencies arise in data storage, documentation, access control, and long-term maintenance, increasing the risk of data loss and reducing data quality (Higgins, 2008). Another significant challenge is inadequate funding and resource allocation. Data preservation require...
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DATA CURATION PRESERVATION ISSUES AND THREATS TO DIGITAL MATERIALS

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Data curation refers to the active management, preservation, and maintenance of digital materials throughout their lifecycle to ensure that they remain accessible, reliable, and usable over time (Abbott, 2008). As organizations, libraries, research institutions, and governments increasingly depend on digital information, preserving digital materials has become an essential responsibility. However, digital materials face several preservation issues and threats that can affect their accessibility, integrity, and long-term survival. These challenges require effective preservation strategies and continuous management practices. One of the major preservation issues in data curation is technological obsolescence. Technology changes rapidly, and many software applications, hardware devices, and file formats become outdated within a short period (Higgins, 2008). Digital files stored in obsolete formats may become inaccessible when modern systems no longer support them. For example, documents c...
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USING AND REUSING DATA IN DATA CURATION

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The process of obtaining, evaluating, distributing, and applying pre-existing datasets for present or future uses is referred to as "using and reusing data" in data curation. In order for researchers, institutions, and organizations to efficiently reuse data, data curation makes sure that the data is credible, comprehensible, and accessible (Abbott, 2008). One of the main objectives of data curation is to maximize the long-term value of information resources by enabling the reuse of data. Accessing carefully selected datasets for purposes like research, decision-making, policy creation, instruction, or innovation is known as data use. To help consumers comprehend its structure, meaning, and context, curated data is frequently arranged and recorded (Johnston, 2017). Properly curated data saves time and resources because users do not need to collect the same information repeatedly. When pre-existing datasets are used for reasons other than those for which they were intend...
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STORING DATA: DATA CURATION

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  I n data curation, "storing data" refers to the methodical management, maintenance, protection, and preservation of data to guarantee its continued availability, dependability, and usability (Abbott, 2008). Storage in data curation entails managing data throughout its lifecycle to enable future access, study, and decision-making, rather than just storing files on a computer. Appropriate organization is a key component of data storage. To enhance retrieval and usability, data should be organized logically and structurally. To distinguish between raw and processed data, curators frequently employ version control techniques, folder hierarchies, and standardized file naming schemes (Johnston, 2017). Confusion is minimized, duplication is decreased, and effective data management is supported by proper structure. The choice of appropriate storage systems is another crucial element. Organizations may employ local storage devices, institutional servers, cloud storage, databases, or...
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SELECTION AND APPRAISAL OF DATA: DATA CURATION

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  D ata selection and appraisal ( evaluation )  are crucial steps in the data curation process because they guarantee the preservation of useful, trustworthy, and reusable data for later use. In order to keep data accessible and useful throughout its existence, data curation entails managing, organizing, and maintaining it. Due to budgetary, technological, and storage constraints, businesses are unable to permanently maintain every dataset since digital information is always expanding. As a result, selection and appraisal aid in deciding which data should be kept, archived, or deleted (Harvey, 2008).   Evaluating datasets to ascertain their long-term value, relevance, authenticity, and usefulness is known as data assessment. Contrarily, selection entails choosing which datasets to put to repositories for future access and preservation. The Digital Curation Center claims that evaluation is required because it is expensive and impracticable to preserve all digital content (...
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DATA COLLECTION AND REPOSITORIES

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Information science relies heavily on data gathering and repositories, which serve as the basis for the production, administration, and sharing of knowledge. Repositories are organised digital systems created to store, manage, and make data easier to access, whereas data collection is the methodical gathering of information from several sources for analysis. They work together to create a linked cycle that promotes innovation, decision-making, and research. Information science data gathering procedures are dictated by methodological intent and rigor.Data gathering has grown to encompass automated systems like sensors, internet platforms, and large-scale data harvesting as a result of the development of digital technology. These advancements have led to an exponential increase of data, sometimes known as the "data deluge," which calls for organised methods to efficiently handle and use this information (Wade, 2014).   However, before raw data is ready for analysis or dissemina...
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