Obsolete user stories
This page shall follow the users from this image, which comes from RDM#0245 presentation.
- Raw Data → person who generates data
- Research Scientists - generating the raw data through experiments. They might access and work with raw data to understand the original measurements, quality control, and preprocessing steps.
- Lab Technicians - Receiving, labeling and analyzing samples
- Processed Data Users
- Bioinformatician - a specialist who combines computer science into the area of biology by analyzing large data sets such as raw genomic data for clinical and research purposes, convert data into suitable analyzed format
- Computational Biologist - Uses biological data to develop models to better understand biological systems ~ Similar to Data Analyst
- Analyzed Data Users
- Lab Head - plan, organize, direct and coordinate a range of activities in the lab
- Wet-Lab Biologist - testing and analyses are performed using physical samples, chemicals and liquids
- Name: Emily
- Background: Emily holds a Ph.D. in Biology and has been working as a Research Scientist for many years. She specializes in spatial omics technologies and has published several papers in journals.
- Designing and planning experiments: Emily is responsible for designing experiments that involve the collection of spatial omics data using some kind of technologies.
- Conducting experiments: In the lab, Emily monitors the execution of the experiments, working closely with lab technicians to ensure the accurate collection of raw data.
- Collaborations: Emily collaborates with other scientists, bioinformaticians, and clinicians to integrate spatial omics data with other datasets and gain a comprehensive understanding of the biological systems she studies.
- Ensuring data quality: Emily faces challenges in ensuring the accuracy and reliability of raw data obtained from complex spatial omics technologies.
- Keeping up with advancements: As the field rapidly evolves, Emily needs to stay updated with the latest technologies and analytical methods to maintain her expertise.
- Name: Michael
- Background: Michael holds a Ph.D. in Bioinformatics and has been working as a Bioinformatician/Computational Biologist for the past six years. He has a strong background in computer science and biology, which he uses to bridge the gap between experimental data and biological insights.
- Data Analysis: Michael is responsible for analyzing spatial omics datasets. He performs quality control, data preprocessing, and normalization to ensure the data is ready for analyses.
- Algorithm Development: As a computational expert, Michael develops and applies computational algorithms and statistical methods to data analysis.
- Integration of Omics Data: Michael works on integrating spatial omics data with other omics datasets to gain a more comprehensive understanding of the biological processes being studied.
- Visualization: He creates plots and interactive visualizations to communicate in a more understandable way to biologists and researchers.
- Collaboration: Michael collaborates closely with biologists, research scientists, and other bioinformaticians to understand the biological context of the data and help formulate relevant research questions.
- Complex Data: Analyzing spatial omics datasets can be challenging, requiring massive computational resources and expertise in handling big data.
- Algorithm Selection: It can be difficult due to the diversity of technologies and the uniqueness of each dataset. Interdisciplinary Communication: As an intermediary between computer science and biology, Michael faces the challenge of effectively communicating computational concepts and results to biologists and vice versa.
- Name: Sarah
- Background: Sarah holds a Ph.D. in Biology and has extensive experience in wet-lab research. After years of working as a researcher and leading her own research projects, she now serves as the Head of a laboratory focused on spatial omics research.
- Research Planning: Sarah is responsible for setting strategy and scientific direction of the laboratory. She identifies relevant research questions and designs experiments to address them using spatial omics technologies.
- Team Management: She supervises and mentors lab members, including postdoctoral researchers, graduate students, and lab technicians, providing support in their research.
- Experiment Execution: While she may not perform experiments on a daily basis, Sarah is still involved in critical experiments and ensuring they are carried out accurately.
- Data Interpretation: Sarah collaborates closely with bioinformaticians and computational biologists to interpret the results generated from spatial omics data analysis.
- Resource Management: Managing lab resources, like equipment, is a challenging aspect of Sarah's role to ensure that the lab runs efficiently.
- Navigating Collaborations: Building and maintaining collaborations with experts from diverse fields, such as computational biology or bioinformatics, can be challenging due to differences in language and expertise.
- Before: The researcher would have to email other users at WEHI to ask if they have data that might complement their experiment, further web searches might even be needed, overall a lot of manual work.
- After: The researcher would be able to go to the data registry and search if they've got a data commons that's related to their work.
Scenario 2: A researcher finds raw data and would like to find out if there are summarized versions of the work
- Before: The researcher would have to look through each database for any relevant work
- After: The researcher would be able to go to the data registry linked to the raw data, and check if there are any summarized data in the data portals