# DSG Report Template # 1. Executive summary ## 1.1 Challenge overview *100 words* An overview of what you're trying to do. ## 1.2 Data overview *100 words* An overview of the data. ## 1.3 Main objectives *200 words* A list of the main objectives. Recommend no more than 3. ## 1.4 Approach *200 words* A **brief** summary of the experiments you undertook - the methods you implemented and why. ## 1.5 Main Conclusions *200 words* Key findings. Not too detailed. Go big picture here! ## 1.6 Limitations *100 words* An overview of the limitations of the work. No need to go into too much detail here :smiley: ## 1.7 Recommendations and further work *200 words* Key recommendations and further work you can undertake. --- # 2. Data overview This section allows you to describe your data. Feel free to add additional headings for data processing/cleaning that you did for specific analyses. ## 2.1 Dataset description ## 2.2 Data quality issues *Document any problems with the data* You can either include what you did to fix them, or simply note these challenges and include recommendations for future datasets and limitations of these analyses. ## 2.3 Data summary *Describe any summary statistics or exploratory analyses that you performed to help you (and the reader) understand the structure of the dataset* # 3. Data visualisation # 4. Experiments: [NAME] This is where you'll describe one of your specific analyses. Below are some suggested headings, but feel free to remix them as you'd like. You should also duplicate this section as many times as you need (eg: section 5 **Experiment: NEWNAME**, section 6: **Experiment: NAME3** ). Just update the later section numbers as needed :sparkles: ### 4.1 Task descriptions *A brief introduction to the methods you're going to use for this particular investigation* Feel free to use sub headings (4.1.1, 4.1.2 if that makes sense) ### 4.2 Experimental set-up *A description of what data you're going to use and how you're going to use it* Feel free to use sub headings if that makes sense - particularly to emphasise the different aspects of your data and analysis plans. ### 4.3 Results ### 4.4 Reproducing results *Include here the names of the code files that are needed to reproduce the results* If there are specific packages that have to be installed, please also make sure that they're documented, for example in a `requirements.txt` file that you can reference here. ### 4.5 Conclusions *What does this experiment tell you? How does it address the goals outlined above?* [ADD MORE OF THE EXPERIMENT SECTIONS AS NEEDED] # 5. Future work and research avenues Use subheadings to outline key research avenues and future work that you'd recommend undertaking! See the example reports on the turing website for guidance! * https://www.turing.ac.uk/research/publications/data-study-group-final-report-inmarsat * https://www.turing.ac.uk/research/publications/data-study-group-final-report-codecheck * https://www.turing.ac.uk/research/publications/data-study-group-final-report-dstl # 7. Team members Add a list of all the people in your team and a 3 sentence bio. * Name * Where you are based * What you study * How you contributed to the project Please keep these bios reasonably standard as they'll be published in the final report as evidence for what each team member contributed to the work. For example: * **Kirstie Whitaker**: Kirstie is a research fellow at the Alan Turing Institute. She studies adolescent brain development and is a passionate advocate for reproducible research. She contributed to this report by providing editorial feedback on the excellent work that the challenge team members conducted.