How can life prosper in deep space? The work -garten analysis work groups on open sciences invite volunteers from all walks of life to help answer this question. Membership request These groups of citizen sciences to help study how life adapts to space environments, exploring subjects such as radiation effects, the impact of microgravity on human and vegetable health and how microbes change in orbit.
Currently, nine analysis working groups (AWGS) organize monthly meetings to advance their specific areas of intervention. Participants collaborate using an online platform, AWG “Forum space“, Where they connect with peers and experts, join discussions and contribute to More than 20 active projects.
AWG operates with data mainly from the NASA Open Science Data Restity (OSDR), a treasure data on space flights on physiology, molecular biology, bioimperie and much more. For newcomers, there is tutorials and a full paper Covering all aspects of the AWG frame of reference and the AWG community. You can explore Over 500 studies,, A multi-study ommous visualization portalTHE Environmental data applicationAnd RadlabA portal for radiation telemetry data. (“Omics” refers to the areas of biology which end in “ommics”, such as “genomics”.)
Each of the nine AWGS has an advance which organizes its group and organizes monthly virtual meetings. Once you register, be sure to connect with lead and go up to the agenda so you can introduce yourself. Learn more About AWG here.
Do you have an idea for a new project? Offer a new project and help direct it! From the analysis and visualization of data to the training of data standards and to the realization of meta-analyzes of literature, there is a place where everyone can contribute. Membership requestAnd together, we can take up a great challenge for humanity: understand and allow life to prosper in deep space!
On April 17 at 3 p.m. East time, the NASA Citizen Science Leaders series organizes a virtual event with Ryan Scott about these analytical working groups and their work. Ryan is the scientific manager of the Data Archives of the Life Sciences Ames and the connection between the Science Referential of Open Data and the Working Groups of Analysis. Click here to register for this event!