PDS Data Services Initiative
Vision
Provide an integrated world-wide data services platform that enables the efficient discovery, dissemination, use and analysis of internationally sponsored planetary science archives
We accomplish this by:
- Capturing and curating archival data and metadata to enable both discovery and use by the community
- Providing a worldwide planetary science data portal as a gateway to archival data and services across PDS, IPDA and the broad planetary science community
- Providing consistent APIs for sharing archival data and services across PDS, among planetary archives, and within the planetary science community
- Supporting a federated cross-node, cross-agency search that enables users to get as close to the archived data and services as possible
- Enabling the on-going exploration and integration of modern tools and access methods to enable data discovery and analysis from visualization to mining of archival data
White Paper
PDS Futue Data Services V4 (PDF)
Phasing Plan
Phase 1 – Data Discoverability
- Establish the Registry and common search interfaces (APIs)
- Build API layers for integrated search across PDS
- Loop back to IM to support API and dynamic metadata
Phase 2 – Enhance User Experience
- Consistent web front-end across PDS and integrate search
Phase 3 – Data Usability
- Develop and improve transformations and visualizations of data
- Develop data user guides and enhance mission docs
Phase 4 – Computational Support and Analysis
- Develop Jupyter notebooks and on-demand algorithms for analysis
On-going throughout all phases – Cloud Integration and Data Curation
See: Data Services Initiatlve Update Presentation (google doc link)
Presentations
MC F2F – Aug 13, 2019
Data Services Workshop – Nov 5, 2019
- Goal of the Workshop (Crichton)
- Technical Background (Crichton)
- Non-PDS Example Project: PO.DAAC Data Services (McAuley)
- RMS Data Curation Discussion and Lessons Learned (Showalter)
- RMS OPUS APIs (French)
- Geo-EN Search Service Pilot (Stein)
- SBN/PSI Context Browser and APIs (Drum)
- Lessons Learned from PDS Imagaing Node Data Sevices (Verma)
- Imaging/USGS Plans (Hare)
- PPI Data Search and Usbility (Mafi)
- Machine Learning Analysis of PDS Mars Images to Improve Discoverability (Wagstaff)
- Solar System Treks (Law)
- Enabling User/Community Services and Tools (APIs, Services, Cloud, IM, etc) (Padams, Hughes)
- Summary (Crichton)
API
TBD
Use Cases
TBD