Assignment Tasks:
As a research assistant based on the project above you are tasked to develop a report for the project consortium board and include:
- Identify the types of data that needs to be collected and consider any legal and ethical frameworks governing the collection, storage, and use of personal data for this project (30 Marks)
- Analysing the current data analytics concepts, techniques and tools that can be used by the project to enhance decision making and increase productivity for public health sector. Include the impact of data analytics on the demand management supply chain for the mind organisation (45 Marks)
- Provide a summary of your findings and any further recommendation. (15 Marks)
- Formatting & References (10 Marks)
Note: You may use any business related models, theories, diagrams, and graphs to evidence and present your findings. All your findings must be based on your research and knowledge gained through the module.
Reading Requirements:
As an independent consultant your research should therefore focus on finding factual information relevant to your tasks outlined above. The concepts, tools, techniques, and models identified must be based on academic literature and industry papers, this includes journals and conference papers, industry white papers and reports, government website or independent research institute such as McKenzie.
ASSESSMENT CRITERIA
This is research report to the project consortium board. As part of your assessment, you must demonstrate the following assessed learning outcomes:
- Analyse mental health demand and supply data using appropriate concepts, tools and techniques, to make informed decisions.
- Apply the legal and ethical frameworks governing the collection, storage, and use of personal data in healthcare.
Your research report should include the following section outline in the assessment criteria table below: Table 1: Assessment criteria
Section | Assessment criteria | Marks |
(1) Introduction | Define Key Concepts: • Identify the types of data that needs to be collected and consider any legal and ethical frameworks governing the collection, storage, and use of personal data for this project |
30
|
(2) Analysis and Critical Evaluation | Analyse and Critically Evaluate: • Analysing the current data analytics concepts, techniques and tools that can be used by the project to enhance decision making and increase productivity for public health sector. Include the impact of data analytics on the demand management supply chain for the mind organisation |
45
|
(3) Recommendations & Conclusion | Recommendation & Conclusion: • Provide a summary of your findings and any further recommendation to the project board. |
15 |
(3) Formatting and Referencing | You should aim to meet the following expectations in terms of formatting and referencing: ▪ Correct and thorough use of Harvard referencing. This includes intext references and an alphabetised bibliography. ▪ Appropriate and consistent choice of visual elements, including correct selection of graphs and tables in relation to their explanatory purpose. ▪ Legible and consistent presentation of data in graphs and tables including clearly labelled and denominated axes. ▪ Organized and logical approach to structure, including table of contents, list of figures and tables, numbered pages, numbered sections and subsections, bibliography. ▪ Spelling, punctuation, and grammar (SPG): UK English consistent with good practice in business and management applications. |
10
|
ANGLIA RUSKIN UNIVERSITY GENERIC ASSESSMENT CRITERIA AND MARKING STANDARDS
LEVEL 7
Grading Rubric Cube | |||||||
Assessment Criteria | 0-29 Inadequate | 30 – 39 Limited | 40-49 Basic | 50-59 Satisfactory | 60-69 Good | 70-79 Excellent | 80-100 Outstandi ng |
Introduction 30%) | No evidence of Research / background, provided on key concepts, tools and techniques used for data analytics and data management in the UK health sector. | Limited Research / background, provided on key concepts, tools and techniques used for data analytics and data management in the UK health sector. with 1 unique concept(s) identified evidenced. | Basic Research/Back ground, provided on key concepts, tools and techniques used for data analytics and data management in the UK health sector. with 2 unique concept(s) identified and evidenced | The key concepts, tools and techniques used for data analytics and data management in the UK health sector. with 3 – 5 unique concept(s) identified and evidenced | The key concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 3-5 unique concept(s) identified and evidenced, considerin g the ethical and legal aspects | The key concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 5-7 unique concept(s) identified and evidenced, considerin g the ethical and legal aspects | In-depth description of the concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 7 or more unique concept(s) identified and evidenced, considerin g and relating the ethical and legal aspects |
Analysis and Critical Evaluation (45%) | No evidence of key concepts, tools and techniques used for data analytics and data management in the UK health sector. | Provided limited key concepts, tools and techniques used for data analytics and data management in the UK health sector. With 1 – 2 unique concept(s) identified evidenced. No analysis. | Basic Research / background, provided on key concepts, tools and techniques used for data analytics and data management in the UK health sector. with 1 – 3 unique concept(s) identified evidenced. Written descriptively. | Some analysis of the key concepts, tools and techniques used for data analytics and data management in the UK health sector. with 3 – 5 unique concept(s) identified evidenced. Ethics and legal aspects considered. | Good analysis, provided on key concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 5-7 unique concept(s) identified evidenced and analysed with some relevance to legal and ethical aspects | In-depth analysis and critical evaluation of key concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 7-9 unique concept(s) identified evidenced and analysed with evidence on relevance to legal and ethical aspects | In-depth analysis and critical evaluation of key concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 10 or more unique concept(s) identified evidenced and analysed with evidence and analysis of the relevance to legal |
and ethical aspects | |||||||
Recommenda tion (15%) | No evidence of any recommendatio n, and summary of findings | Recommendat ion, and summary of findings provided are abstract | Recommendat ion, and summary of findings provided are an overview with 1-2 evidence from the literature | Recommenda tion, and summary of findings provided are related to the project, considers the ethical aspects with 3-5 evidence from the literature | Recommen dation, and summary of findings provided are relevant to the sector and consider the legal and ethical aspects with 5-7 evidence from the literature | Recommen dation, and summary of findings provided are an indepth and related to the project with ethical and legal aspects considered and evidence with 7 or more evidence literature | Recommen dation, and summary of findings provided are an indepth, practical and related to the project with ethical and legal aspects considered and evidence with 7 or more |
Format & Referencing (10%) | Significant difficulty with structure/accura cy in expression and Harvard referencing | Difficulty with structure/acc uracy in expression | Some difficulty with structure/accu racy | Adequately structured/m ainly accurate in expression | Logically structured /accurate expression | Logically structured/ creative expression | Demonstra tes |
