Excel is a great tool, however it has its flaws. Files quickly become slow as they increase in size, and Excel has no built-in feature to easily search through several documents for a specific word, phrase or value. This can be resolved through a LIMS, a Laboratory Information Management System, which is a database solution that can be used to store and trace laboratory data and information. Our task was to evaluate what system requirements the company Olink Proteomics AB has for a LIMS. By interviewing several departments at Olink, we gained information about what each group wanted from such a system and condensed it into a needs assessment. The interviews showed that traceability was needed for every single department, as well as having easy features for adding data into the system. We were also tasked by Olink to research which Swedish laws apply to old patient data, as the company wants to reuse the data for R&D. Our conclusions are that if data is made fully anonymous, there are no issues in using it for R&D. However, this can be difficult as many criteria have to be fulfilled in order for the data to become fully anonymous.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-384628 |
| Date | January 2019 |
| Creators | Bernedal Nordström, Clara, Bürger, Erik, Engberg, Jonas, Jansson, Ylva, Thorell, Hannes, Vaivade, Aina |
| Publisher | Uppsala universitet, Institutionen för biologisk grundutbildning, Uppsala universitet, Institutionen för biologisk grundutbildning, Uppsala universitet, Institutionen för biologisk grundutbildning, Uppsala universitet, Institutionen för biologisk grundutbildning, Uppsala universitet, Institutionen för biologisk grundutbildning, Uppsala universitet, Institutionen för biologisk grundutbildning |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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