ESS-DIVE Webinar

Tuesday, March 26 | 11:00-12:00 PT / 14:00-15:00 ET

View Webinar Recording / Link to Webinar Slides

Join our March webinar for an update on ESS-DIVE reporting formats and the Deep Dive API, which now enables search within CSV data files when datasets follow the File-Level Metadata (FLMD) reporting format. To do this, the ESS-DIVE Fusion Database validates and parses individual data files when you describe files and variables using this format. In the webinar, we will provide an overview of common file-level issues that prevent parsing, and have informed our planned FLMD updates. We will have open discussion time for feedback on these plans, and to answer any questions.

During the webinar, we will cover the following topics:

• Overview of current reporting format datasets in ESS-DIVE and Deep Dive API search
• File-level metadata review during the publication process 
• Requirements for successful validation and parsing in the Fusion Database
• Planned updates to the FLMD and CSV reporting formats

Please encourage anyone from your project who may be interested to attend.

Emily Robles, emilyarobles@lbl.gov

Senior Research Associate
Emily is a research associate and a member of ESS-DIVE’s team. Her work with ESS-DIVE focuses on utilizing research and feedback to implement a comprehensive data package review workflow for data publication. She has experience with data package organization and quality management as a member of the NGEE Tropics data team and received her BS in Environmental Science from the University of California, Berkeley.

The ESIP Physical Samples Curation Cluster has been working on resources for scientists to publish open research with physical samples. The cluster, co-led by Joan Damerow, recently published “A Scientific Author Guide for Publishing Open Research Using Physical Samples” (Damerow et al., 2024), which is a checklist to help authors make their sample-based studies Open, and Findable, Accessible, Interoperable, and Reusable (FAIR). The guide outlines four main steps to enable sample discovery and tracking over time, as well as data integration, reuse, and credit. These four steps were also published as a flyer (Raia et al., 2024), which was distributed at the AGU Fall Meeting 2023 “Open Data Help Desk”.

Step 1: Describe Samples with Rich Metadata
Step 2: Assign and/or Use Identifiers for Samples
Step 3: Publish and Cite Samples in Datasets|
Step 4: Reference Sample Identifiers in Paper

ESIP’s Physical Samples Curation Cluster held a session on “Technical Needs to Facilitate Sample Citation” at the ESIP January 2024 Meeting. Participants provided and discussed components of their dream “pie-in-the-sky” system for sample discovery, tracking, reuse, and credit. The “wish-list” Jamboard and recording are now available. Attendees emphasized the importance of:

• Automating as much as possible, including sample identifier generation, cross-linking when samples are referenced, metadata exchange, and more – to make it easy and useful for researchers.
• Field-based systems that enable easier generation of sample identifiers and standard metadata at the point of collection.
• Incentivizing use of sample identifiers throughout research workflows.

Ways to become involved? The ESIP Physical Samples Curation Cluster is still looking for feedback on author guidelines as they work on publishing new versions and go through the ESIP Endorsement process. Contact JoanDamerow@lbl.gov if you are interested in contributing to these guidelines, and an associated paper where we also discuss technical needs to make publishing sample-based research easier and more useful.  

Also join the ESIP Physical Samples Curation Cluster mailing list for information on the cluster’s next meeting and updates on cluster activities!

The Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) data archive, based at Lawrence Berkeley National Laboratory, is thrilled to announce the 2023 ESS-DIVE Open Data Workshop (ODW). This annual event promises to be two days of inspiration, collaboration, and knowledge sharing, bringing together Principal Investigators (PIs) and team members engaged in Environmental System Science (ESS) projects.

This year, the 2023 ESS-DIVE ODW holds special significance as it aligns with the United States government’s celebration of 2023 as the “Year of Open Science.” This multi-agency initiative across the federal government aims to foster open science adoption through events and activities that promote open, equitable, and secure science.

“The 2023 ESS-DIVE Open Data Workshop is a prime opportunity for Environmental System Science researchers to tap into the momentum of the Year of Open Science and bolster their projects with cutting-edge data management practices,” says Charuleka Varadharajan, Principal Investigator with ESS-DIVE.

Building on the success of last year’s Annual Data Workshop, this event is tailored to serve both newcomers and those already familiar with ESS-DIVE. The focus will be on new features and resources that facilitate collaboration, and Open data management and publishing to enhance the research process.

By attending this workshop, you will gain access to important information and networking opportunities, offering you the following benefits:

• Make High-Quality Data Management Easier: Efficient data curation and integration is critical to save time and resources for ESS-related projects. Learn how to use ESS-DIVE tools and resources to make publishing high-quality data and collaborative data management easier. And participate in discussions to shape how we can standardize data practices, work with large and complex data, automate repetitive data tasks, and bridge data silos.
• Integrate and Use ESS Data: Learn about new ESS-DIVE tools that will make it easier to discover and integrate ESS data. Explore a unique collaborative paper opportunity that aims to compile scientific use cases for data linking and integration across the U.S. DOE’s Biological and Environmental (BER) data systems, including the Joint Genome Institute (JGI), Systems Biology Knowledgebase (KBase), National Microbiome Data Collaborative (NMDC), Environmental Molecular Sciences Laboratory, (EMSL), Atmospheric Radiation Measurement (ARM), Earth System Grid Federation (ESGF), and ESS-DIVE.
• Network and Learn from Peers: Participate in a collaborative, interdisciplinary environment where you can learn from fellow scientists with a variety of expertise across data, computational, and domain sciences. Share experiences, challenges, and innovative solutions to advance open ESS data and reuse.

Register Now: Registration for the 2023 ESS-DIVE Open Data Workshop is now open, and encouraged for anyone who is part of an ESS project. While participants are encouraged to attend both days for the full experience, they are also welcome to join sessions of their interest. To secure your spot, simply complete this registration form. Once registered, you will receive a personalized Zoom link, granting you access to the event.

Each session will provide ample opportunities for participants to engage with the ESS-DIVE team, ask questions, share comments, and provide feedback. Before the event, registered attendees will receive quick instructions on preparing for tutorials and discussions to make the most of their experience.

To discover more about the workshop or ESS-DIVE in general, please visit the workshop event page or contact ess-dive-support@lbl.gov.

Don’t miss the chance to be part of this transformative event and take your ESS projects to new heights. Join us at the 2023 ESS-DIVE Open Data Workshop for two days of learning, networking, and innovation.