The ALSDA AWG has focused on phenotypic, 
physiological, 
imaging, 
telemetry, and behavioral data. ALSDA = Ames Life Sciences Data Archive which in 2021 transformed and integrated with NASA GeneLab to form the NASA Open Science Data Repository
- Ryan Scott is the ALSDA AWG Chair
- ALSDA AWG meets each 3rd Tuesday of each month, 8-9:30a PT
Here is a list of all Assay Metadata Configurations. The sheet also has links to templates. If you are collecting data in an experiment, these templates are for you to use, so data/metadata is collected in a format/structure which can the science maximally reusable, reproducible, and transparent.
This AWG began in July of 2021, and now has about ~200 members.
The work on data/metadata standards has enabled several studies and publications, besides various other posters and presentations mining the data:
- Li, K., Desai, R., Scott, R.T. et al. Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice. npj Microgravity 9, 90 (2023). Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice | npj Microgravity
- Reynolds, R.J.; Scott, R.T.; Turner, R.T. et al. Validating Causal Diagrams of Human Health Risks for Spaceflight: An Example Using Bone Data from Rodents. Biomedicines, 10 (2022). Biomedicines | Free Full-Text | Validating Causal Diagrams of Human Health Risks for Spaceflight: An Example Using Bone Data from Rodents
- Casaletto, J., Scott, R.T., Myrick M., et al. Analyzing the Relationship Between Gene Expression and Phenotype in Space-Flown Mice Using a Causal Inference Machine Learning Ensemble, 06 February 2023, PREPRINT (Version 1) available at Research Square (2023). Analyzing the Relationship Between Gene Expression and Phenotype in Space-Flown Mice Using a Causal Inference Machine Learning Ensemble | Research Square