 Okay, so now for up to apply for data access, there's several steps here. So step one would be request an account, step two log in and start an application. Step three, complete the form and step four, submit your application. So I'll go over step one. Next please. So step one, first request an account. So the primary applicant should email the access email to request a Magnolia user account. And provide by providing full name, institutional email and position title and institution. So and it usually takes two to three days to get to receive the login information. If it's a training application, that's the supervisor, which is the primary applicant on behalf of the trainee also needs to email the access email and request a Magnolia user account for the trainee by providing their name, institutional email and program. So once you have your login credentials, you need to log in and start an application here. This is how the Magnolia page looks like. So you need to enter your username and passwords and your starter application. First I want to highlight for trainee application, it should be the trainee who should sign in. And once they sign in, next slide please. So once they sign in, this is what looks like it's a page with instructions and notes to the applicant. So the trainee here, there's an ad button on the below. So where's the blue arrow. So the trainee must click the ad button and start the application. So this is very important because if the supervisor initiates the application, the trainee cannot be added. So it should be the trainee who initiates the project in Magnolia. And we do this because we want to ensure that the trainee are provided the learning opportunity to write their own proposals. So after it will be step three, which is complete the form. So there's four tabs here, instructions, part one, part two and part three. So I always insist a lot, I mean, you need to read carefully the instructions written here. And there's a, it also has a links to different resources on the CLSA website. So the more you know CLSA, the chances your application will be accepted are higher. So we always, it's never enough, I mean. So after reading the instructions and understanding CLSA, well, there's part one, which is the app, it includes in form different tabs, the applicant project team timeline description and scientific review and ethics. And if there's part two, which is the data checklist, you select the data here in part two and there's part three about biosamples, but it's not activated yet. So under part one, there's the applicant tab. So here the applicant information is entered here and there is a section on the bottom for the trainee information, which I show here. So it's here. So as I said, the supervisor is the main applicant and the trainee information would go here. So and please make sure you specify the fee waiver on the bottom two. Next tab would be, it's the project team. So here just make sure they include all the project team members here and that multiple can be added here. We are for the description tab. So here it says the proposal per se. So here where you write your proposal. So there is a project title, keywords, lay summary, background, study objectives, study design and data analysis. So I want to highlight some points here to make sure you write the lay summary in the lay language. Make sure the objectives are clear and concise. Make sure the use of requested CLSA data is described here and that you provided enough information to assess visibility. So now I will go to part two, the application form. So part two, as I said, is the data checklist. So there's the first tab is the notes. So here and there's a link for the CLSA data availability table. I include your screenshot. It's a PDF document that we always update with what is currently available for data requests. So make sure you consult this before you select the data. And there's the second tab here, which is that you need to choose the cohort. So you either choose tracking or comprehensive or both. Just please note that there are no physical assessment or medications on biomarker data for tracking cohort. So if your project depends on those data, you need not to select tracking cohort. And there's a question on the bottom here, I mean, you need to specify if your project is related to a previous approved CLSA project. And if this is the case, you provide the number of that project, but make sure if this happens to describe in the proposal, what are you adding to the previous approved project? Yeah. And here is for the core CLSA data tab. So make sure you select only the modules needed for your project. So just like whatever you need, you just select those, I mean, the modules as well as the waves. So if you only need baseline, you only select baseline. If you only need to question your data, you only select questionnaire data. Make sure they are described in your proposal, whatever you select here. Just I want to highlight again, that cognition and medications data are included in the questionnaire data module. So those are here. If you select questionnaire data, you'll get those, you'll get all. And there's, yeah, and there is, I mean, here, the images and raw data, I will select only images if they're needed. So because, I mean, we do get a lot of those selecting images, but the only they need is the outcome, the output data. So that are available in the physical assessment module. So if you select images and you need images, you need to describe how they will be achieved. And they will use that shift for both objectives and how they will be analyzed, definitely involved additional costs. And step four would be sub-material applications. So here it's important, even if it's a trainee application, it's the primary applicant who needs to submit the application, not the trainee. So although the trainee will fill out all the application, the primary applicants, and this is to ensure that they had, they, he, she were able to review the proposal before they submit. And applications must be received by 5 p.m. eastern time on the submission deadline.