Getting Started With PD Data Webinar

Accessing and Understanding Data
, ,
1

Are you interested in conducting research with PD data but are unsure where to start? If so, we hope that you will join us on Thursday, May 8th from 2:00-3:00pm EST for a webinar focused on wrangling PD data.

This webinar will provide an overview of the previously developed Getting Started with PD Data Guide (Getting Started With Parkinson's Disease Data), which enables researchers to get started with an array of datasets—such as PPMI, GP2, AMP-PD, and Fox Insight—pertaining to PD research to do so with increased ease.

This session will be presented by Kobla Atsu (@ekaamewu) of the Kumasi Center for Collaborative Research at the Kwame Nkrumah University of Science & Technology, Kumasi, Ghana and is hosted by the Michael J. Fox Foundation’s Data Community of Practice: http://rcop.michaeljfox.org/.

Please feel free to forward this invitation to colleagues interested in getting started conducting research with PD data. A recording of this webinar will be made available once concluded.

Questions? Please contact: researchcommunity@michaeljfox.org

5 Likes
2

Thanks, @malosco and @ekaamewu , really looking forward to the talk! This is a reminder to everyone that this webinar will take place one week from today, on Thursday, May 8th, 2:00-3:00 pm EST. We hope to see you there!

2 Likes
3

Hi everyone, just a reminder that the Getting Started with PD Data Webinar begins today at 2:00 pm EST (meeting link). We hope to see you there!!

4

Hi @gginnan, @jgottesman

Thanks again to @ekaamewu for the webinar. I am wondering if it was recorded and will be posted for viewing? I think it will be very helpful to the community.

Mike

1 Like
5

Yes, it was recorded. I’m sure it will be posted for viewing soon.

1 Like
6

Hi all, we have just uploaded the webinar recording (MJFF Data Community Webinar: Getting Started With Parkinson's Disease Data) to the MJFF Data Repository on Zenodo.

We hope this resource will help folks get acquainted with the PD data landscape. Thank you, @ekaamewu, for a great presentation and overview!

2 Likes
7

Big thanks as well to the co-authors of the original guide, @malosco, @ehutchins, @psaffie, @paularp, @vdardov, @hirotaka, @danieltds, and @maya.sanghvi!

If anyone has suggestions on how to improve this resource, share this webinar, or create others please feel free to reach out!

5 Likes
8

Thanks for sharing this link! Very useful

3 Likes