
The Department of Energy (DOE) has joined the larger scientific community in the promotion of data management as a means to higher quality, more efficient research and analysis, and as a critical component of data science. Tools and platforms to support data management and analysis are rapidly evolving and provide enormous opportunities. They also pose challenges that can be specific to DOE but are common across DOE mission areas and organizations.
The DOE Data Day workshop, abbreviated to D3, was born from this critical work. D3’s primary goals are:
- Bring DOE institutions together to share their data management use cases, challenges, and solutions;
- Identify potential synergies and efficiencies; and
- Establish proactive channels for future collaborations.
The event crosses program boundaries and mission areas, with participants exploring best practices and the latest technologies to help DOE researchers leverage new techniques, respond to data security threats, and advance fundamental science in valuable ways.
Registration is open until October 16 for U.S. citizens. We encourage foreign national attendees to register early to allow time for coordinating onsite access.
Workshop dates: October 24–26, 2023
Hosted by: LLNL
Themes:
- Data Intensive Computing
- Cloud and Hybrid Data Management
- Data Access, Sharing, and Sensitivity
- Data Curation and Metadata Standards
- Data Governance and Policy
Important dates:
- Submit abstracts for oral and poster presentations until August 11 (you may submit multiple abstracts) — the submission window is closed
- Presenters notified on August 21
- Draft presentations due October 6
- Final presentations due October 13
- Registration is open until October 16. Contact felker7 [at] llnl.gov (subject: DOE%20Data%20Days%20registration) (Lisa Felker) for an invitation. We encourage foreign national attendees to register early to allow time for coordinating onsite access)
Resources: to come
Workshop dates: June 1–3, 2022
Hosted by: LLNL
Themes:
- Cloud and hybrid data management
- Data-intensive computing
- Data access, sharing, and sensitivity
- Data policy and ethics
Resources:
- 2022 Report (PDF 985KB)
- 2022 Agenda (PDF 208KB)
- 2022 Proceedings:
Workshop dates: October 5–7, 2020
Hosted by: LLNL, virtual only
Themes:
- Data curation and standards: legacy data, existing data, and future data
- Data-intensive computing, high performance computing (HPC), and data science tools for DOE's computing communities
- Data access, sharing, and sensitivity
- Cloud, HPC, and hybrid data management
A companion hackathon covering a selected topic from the topic areas above was held prior to D3. There was no fee to participate in D3, and an abstract was not required to attend the workshop.
Resources:
- 2020 Report (PDF 3.09MB)
- 2020 Agenda (PDF 738KB)
Workshop dates: September 25–26, 2019
Hosted by: LLNL
Themes:
- Data curation and standards
- Data-intensive computing
- Data management in the cloud
- Data access, sharing, and sensitivity
Resources:
- 2019 Report (PDF 1.87MB)
- LLNL news coverage