SUMMARY OF STORING DATA

 

Figure 1 How to store data for 1 000 years (BBC)

 Storing data refers to the process of saving digital information in physical or cloud-based systems., The process is essential for keeping organization data accessible, secure, and usable for both decision making and day to day operations (Vurukonda & Rao, 2017).

Modern computing relies on several types of storing data. Primary storage, include Random Access Memory) RAM), which temporality holds data actively being processed. Secondary storage provides long-term retention through devices like hard discs drives, solid state drives, flash discs, and optical discs. Because these devices retain data without power, they are essential for permanent storage. Cloud storage has also grown widely, letting users and organizations store data on remote servers’ accesses over the internet. It offers scalability, flexibility, and remote access (Huynh et al., 2021).

Benefits of storing data

Storing data provides several benefits.  For example, in an organization, it helps to make informed strategic and operational decisions.  Digital storage allows instant access to information, reducing the need for physical filing system and improving efficiency. It also supports the storage and management of large volumes of data over long periods. Additionally, storing data saves physical space and can easily expand as data increases. Modern storage systems enhance data security trough features such as access controls and protection of sensitive information. Centralised storage also improves collaboration by allowing authorized users to access and share files easily. Furthermore, it supports better data organization and increase productivity and workflow efficiency (Mazumdar et al., 2019)

Challenges of storing data

Storing data faces several challenges in modern organizations. The major challenge is data security, as systems are vulnerable to unauthorized access, cyberattacks, ransomware, and data breaches. Another challenge is scalability and cost. As data volumes increase, organization require more storage capacity, which can become expensive especially for cloud services and hardware maintenance (Stanton, 2004). Data loss and integrity issues are also common due to hardware failure, accidental deletion, or data corruption. This requires reliable backups and recovery systems to ensure data safety. Additionally, performance problems may occur when large amounts of data slow down retrieval and processing. Data migration and integration between systems can also be complex and risky (Yaser et al., 2017).

In conclusion, storing data is a fundamental aspect of information management that supports the efficient handling, preservation, and retrieval of data. With the increasing reliance on digital systems, organizations must implement secure, scalable, and efficient storage solutions to ensure data availability and integrity. Proper data storage not only enhances operational efficiency but also contributes significantly to informed decision making and organizational success.    

For additional information, click the link:   Storing Data Safely

Reference

Vurukonda, N., & Rao, B. T. (2016). A study on data storage security issues in cloud computing. Procedia Computer Science, 92, 128–135. https://doi.org/10.1016/j.procs.2016.07.335

Huynh, T. T., Nguyen, T. D., Hoang, T., Tran, L., & Choi, D. (2021). A reliability guaranteed solution for data storing and sharing. IEEE. https://doi.org/10.1109/ACCESS.2021.310070

Stanton, P. (2004). Securing data in storage: A review of current research [Technical Report]. arXiv. https://arxiv.org/abs/cs/0409034

Mazumdar, S., Seybold, D., Kritikos, K., & Verginadis, Y. (2019). A survey on data storage and placement methodologies for Cloud-Big Data ecosystem. Journal of Big Data, 6(1), Article 15. https://doi.org/10.1186/s40537-019-0178-3

Yaser Mansouri, Adel Nadjaran Toosi, and Rajkumar Buyya. 2017. Data Storage Management in Cloud Environments: Taxonomy, Survey, and Future Directions. ACM Comput. Surv. 50, 6, Article 91 (December 2017), https://doi.org/10.1145/3136623

Comments

Post a Comment

Popular posts from this blog

SUMMARY OF DATA COLLECTION AND REPOSITORIES

  Data Collection: Method types and tools   Knowledge clip: Data repositories   Data collection and repository play a pivotal role in the management, preservation and dissemination of Knowledge.   Understanding these two concepts is important because they shape how information is generated, organized, accessed and preserved. This paper summarises the two topics. Data collection is the systematic process of gathering information for a specific purpose such as research, planning, evaluation, or decision making (Creswell & Creswell, 2018).   In Libraries, data collection is necessary for assessing user satisfaction, measuring performance, identifying information needs and improving service delivery. Data can be categorized using different ways including quantitative and qualitative (Taherdoost, 2021). Bryman (2016) states that there are two broad categories of data collection: primary and secondary methods. Primary data is gathered directly through survey...
Read more

SUMMARY OF ORGANISATIONAL ISSUES IN DATA CURATION AND PRESERVATION

Image
                                   Preservation Workflow (Giaretta, 2011, p. 163) Data curation is the continual management and preservation of digital research data and materials throughout their lifecycle, ensuring long-term accessibility for current and future users (Hassan, 2025).   However, institutions face significant challenges when implementing digital preservation. This paper summarises key organisational issues affecting digital preservation efforts. One of the most significant organisation issues affecting digital preservation is lack of clear policies and strategies. Long term access to digital resources depends heavily on documented strategies underpinned by clear policy and procedures. Without policies to ensure longevity, institutions cannot claim to be undertaking digital preservation. A realistic preservation policy acts as a roadmap for achieving sustained access...
Read more

SUMMARY OF SELECTION AND APPRAISAL OF DATA

Critical Appraisal of the Literature Selection and appraisal are essential processes in data curation and records management because they ensure that valuable research data and records are preserved for future use (Yakel, 2007). Selection and appraisal play a key role in ensuring that only data of significant value and quality are kept. As noted by the Digital Curation Centre, appraisal enables institutions to determine which digital materials should be preserved for long term and which can be discarded to reduce unnecessary costs and avoid duplication. Appraisal involves evaluating records and datasets to determine which materials should be preserved permanently, which should be kept for a specified period, and which should be destroyed. The Australian Records Management Standard S 4390, defines appraisal as the evaluation of records to determine their retention and disposal status. Similarly, Harvey (2007) explains that selecti...
Read more