Evaluate the challenges of storing and communicating large quantities of scientific information so that it can be retrieved and used
Infrastructure
Storage of a lot of data requires the proper infrastructure, which usually involves investing in high-tech servers that take up a lot of room in the office. Using cloud hosting and storage saves space and the bother of setting things up.
Cost.
Given the financial requirements, owning and running a data center is capital intensive. A large sum of money is required on the initial setup, continuous maintenance, and the charges of the employees responsible for it (Ahmad et al., 2020). Outsourcing the task is the best option since it only involves paying a monthly charge that is more likely to save money in the long run.
Security.
Security is a big issue that must be addressed. If data is stored anywhere, a third party could theoretically access it (Ahmad et al., 2020). Several levels of protection can help you avoid unauthorized access, such as encryption and relying on third-party suppliers, but there is a limit to how far they can go.
Corruption.
Every type of data storage system has the potential to be corrupted. Stray particles can harm most types of data storage, and anything that relies on electric storage can be affected by electromagnetic interference. Data will deteriorate over time if there isn’t a direct outside source tampering with it. Using several backups is the best chance for security in this situation
Scale.
One might be able to locate a storage solution that meets the current requirements, but changes can occur immediately. Scaling data storage solutions will require some capacity because one cannot know how demands will alter in the future, hence the importance of having as many options as possible (Rafique & Khan, 2018).
User interface and accessibility
A good interface should allow the user to access data with ease in real-time whenever needed. The retrieval process should be fast and easy to follow. As a result, one will need a system with a user-friendly, accessible user interface (UI) and easy access to whatever functionality is required.
Reference list
Ahmad, F., Widén, G. and Huvila, I., 2020. The impact of workplace information literacy on organizational innovation: An empirical study. International Journal of Information Management, 51, p.102041.
Ballantyne, A., 2019. Adjusting the focus: a public health ethics approach to data research. Bioethics, 33(3), pp.357-366.
Clark, K., Duckham, M., Guillemin, M., Hunter, A., McVernon, J., O’Keefe, C., Pitkin, C., Prawer, S., Sinnott, R., Warr, D. and Waycott, J., 2019. Advancing the ethical use of digital data in human research: challenges and strategies to promote ethical practice. Ethics and Information Technology, 21(1), pp.59-73.
Colabroy, K. and Bell, J.K., 2019. Lab notebooks. In Biochemistry Education: From Theory to Practice (pp. 173-195). American Chemical Society.
Kim, E., Rubinstein, S.M., Nead, K.T., Wojcieszynski, A.P., Gabriel, P.E. and Warner, J.L., 2019, October. The evolving use of electronic health records (EHR) for research. In Seminars in radiation oncology (Vol. 29, No. 4, pp. 354-361). WB Saunders.
Rafique, G.M. and Khan, H.A., 2018. Information literacy skills of management sciences students. Pakistan Journal of Information Management and Libraries, 19, pp.52-73.