Health outcomes are often affected by more than biology. They can be influenced by conditions in which people are born, grow, live and work. Understanding how biologic, clinical, economic, educational, structural and social factors relate is critical to elevate health equity for all. The CCTS connects investigators and teams to the expertise and tools to conduct rigorous research involving social determinants of health.
UAB's Geographic Information System (GIS) is a tool that assists in plotting and analyzing geographical data and is useful in decision-making processes across fields like urban planning, environmental management, and business logistics.
The Social Determinants of Health (SDH) Core empowers UAB investigators to evaluate how social and environmental factors influence the onset, development, management, and outcomes of diseases. It also promotes the development of interventions that mitigate these factors. By combining integrated data, methodologies, and expertise from various fields such as social science, spatial and environmental science, clinical and translational science, genomics, informatics, and epidemiology, we pave the way for pioneering investigations into the genome-sociome-exposome pathways linked to health and disease.
The CCTS’s GRID (Geospatial Research and Information Domain) provides access to tools and resources to utilize Geographic Information System (GIS) software that allows investigators to analyzes and map all types of data. Used across various industries, GIS helps in understanding patterns, relationships, and geographical contexts, thereby enhancing communication, decision-making, and efficiency. GIS offers a more dynamic understanding of the world, aiding in informed decision-making by translating complex data into a more comprehensible visual format.
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How to Log in to DataLENS
1. Go to DataLENS at https://datalens.hs.uab.edu/projectexplorer
2. Log in using @uabmc.edu account if possible. If you do not have @uabmc.edu account, use your @uab.edu account. Please emailThis email address is being protected from spambots. You need JavaScript enabled to view it. if you encounter any issue logging in. -
Requesting Datasets
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After logging in, go to “My Data Request” tab to create new request by clicking “+NEW DATA REQUEST” button.
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Fill out the data request form.
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Project Name: any data request needs to be tied to a project. If you have not create any project, you can create new project by clicking the [+] button.
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Select Cohorts: Please select your query that you ran in i2b2 that defines your cohort of the request. This is optional.
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Select Protocols: Please select your IRB number from the dropdown list if you are requesting PHI. This is optional.
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Title: Title of your data request
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Description: detailed description of your data request. Below key information are usually needed in a data request:
i. Define your study population. (e.g. African American women over 50 years old with type 2 diabetes, white males diagnosed with myocardial infection in past 60 days.)
ii. What data do you want on your study population? Click here for a list of searchable data variables.
iii. What time frame should your data cover? (e.g. past 3 months, 2011-2016) -
Status: This is a read only field and the status of your request will updated when analysts begin working on your request.
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Priority: This is a read only field. Normal priority by default. If your request is urgent, please indicate it in the Description along with reason and justification.
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Assignee: This is a read only field. You should see analyst name when it is worked on.
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Frequency: How often would you like this data to be refreshed and delivered? It is a one-time request by default.
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Requester Name: Type in <Last Name>, <First Name> to search for matches in database. By default, it will be the person who submitted the request.
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Attach Files: Please attach IRB approval letter and Human Subjects Protocol (or EForm of e-Portfolio) if you are requesting PHI. This will speed up our validating process. For large files, please wait until you see an “upload successful” message appears on the top right corner of the screen.
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Documents: You should be able to see any documents you have uploaded previously.
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Click “Submit” button to complete request creation process. If you have attached files, please make sure you see the “upload successful” message before you click “Submit” button. This will prevent loss of the attachments.\
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Our analysts will process your request in the order of it is received. You may check the Status in your request. Once completed, the dataset files will be delivered in the “Clinical Datasets” tab.
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Troubleshooting
Please email
This email address is being protected from spambots. You need JavaScript enabled to view it. if you encounter any issue logging in and use this registration form for data requests should you need it.
Trouble accessing? Contact
Translational Science
Translational Science in Pilot Projects
Translational Barrier: Access to patient information at the point of care.
Translational Barrier: Fidelity of remote data collection.
Translational Barrier: Patient Recruitment
With modest pilot funds, investigators can systematically address barriers in their research plans, thereby developing more predictive and successful health interventions. Is there a barrier inhibiting your research from moving one stage to the next?
For additional guidance on translational science and how to frame your project as translational science, check out this webinar.
- Divining the Venn Diagram of Translational Research versus Translational Science
- Opportunities and challenges in translational science
- Situating dissemination and implementation sciences within an across the translational research spectrum
- Valley of Death
- Surviving in the Valley of Death: Opportunities and Challenges in Translating Academic Drug Discoveries
- A humanized nanobody phage display library yields potent binders of SARS CoV-2 spike
- Nationwide IRB Reliance Agreement Aimed at Speeding Research Reaches 1,000 Signatories
- CCTS Pilot Toolbox
Annabelle Fonseca, MD, MHS
Asst. Professor, Dept. of Surgery
Byron Lai, PhD, MS
Asst. Professor, Dept. of Pediatrics, Div. of Pediatric Rehabilitation Medicine
Chad Rose, PhD
Asst. Professor, Dept. of Mechanical Engineering; Director, Wearable and Bio-Robotics Lab (WeBR Lab)
Henry Zelada Castro, MD
Asst. Professor, Dept. of Medicine, Div. of Endicrinology, Diabetes and Metabolism
Jaimie Roper, PhD
Asst. Professor, Dept. of Kinesiology; Director, Locomotor and Movement Control Lab
Mohamed Shaban, PhD, MS, MS
Asst. Professor, Dept. of Electrical and Computer Engineering; Director, Biomedical Artificial Intelligence Group
Jake Chen, PhD
Professor, Department of Computer Science, Informatics Institute
Developing Super-PAGs: Standardized, Tissue-specific, and Network-organized Pathway Data for Disease Biology Modeling.
Chinenye Dike, MD
Assistant Professor, Department of Pediatrics, Division of Gastroenterology, Hepatology and Nutrition
A Feasibility Study on the Use of Plant Based Omega-3-Fatty Acids (Flaxseed) to Improve Inflammation Driven Pain Outcomes in Children with Sickle Cell Anemia
Simon Grelet, PhD
Assistant Professor, Department of Biochemistry and Molecular Biology
Three-dimensional models of breast cancer neurogenesis and progression in vitro and ex-vivo
Soumya Niranjan, PhD
Assistant Professor, Department of Health Services Administration
Implementation Strategies to Mitigate Disparities in Lung Cancer Screening
Meredith Reid, PhD
Assistant Professor, Department of Electrical and Computer Engineering, MRI Research Center
In vivo assessment of glutamate in older adults with post-traumatic stress disorder: a 7T magnetic resonance spectroscopy study