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Welcome to the Earth Science Information Partners (ESIP) 2018 Summer Meeting! The 2018 theme is Realizing the Socioeconomic Value of Data. The theme is based on one of the goals in the 2015 - 2020 ESIP Strategic Plan, which provides a framework for ESIP’s activities over the next three years.

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Canyon B [clear filter]
Tuesday, July 17


Interoperability within the DataONE federation: Participating in the network
The amount of data researchers are generating is exploding and as a result, so to are the opportunities for more comprehensive and novel analyses incorporating the work of many investigators. These data are however, scattered across the globe in different formats and accessible through a variety of mechanisms, challenging researchers, educators and others to find the specific data they need. Repositories managing these data in ways that promote precise discovery and recall are positioned to become leaders in scientific knowledge and the creation of data stewardship. DataONE enables repositories to increase visibility and exposure of data through a federated network utilizing a well tuned and consistent, shared infrastructure for search and access to data across participating repositories. The DataONE infrastructure facilitates data preservation, replication, attribution and citation, and supports existing data tools as well as registration of repository data services.

During this workshop, data and organization managers will be provided with an overview of the DataONE cyberinfrastructure and the steps necessary to integrate with DataONE. We will highlight the services and features available, provide an overview of the implementation process and review technical requirements allowing sufficient time for specific case studies, questions and answers.

Speakers & Moderators
avatar for Matt Jones

Matt Jones

Director of Informatics, UC Santa Barbara
Data Federation | Open Science | Provenance and Semantics

Dave Vieglais

University of Kansas / DataONE

Tuesday July 17, 2018 9:30am - 11:00am
Canyon B


Collaboration among data repositories: replication, deduplication, and interoperability
Environmental data repositories are rapidly adapting to the positive changes in the culture of data publishing, as requested by funders,journals, and researchers. Repositories are increasingly being tagged as the principal site for depositing data and research products from specific sponsor programs (e.g., BCO-DMO for NSF Biological & Chemical Oceanography, EDI for NSF LTER and DEB programs, the Arctic Data Center for NSF Arctic programs, and NCEI for NOAA data of all stripes). This leads to many highly specialized repositories that serve specific communities and are responsible curators for targeted swaths of data. These repositories are then faced with the challenge of replicating copies of data to meet funder expectations while providing an integrated discovery and access system for their communities and across the broader environmental sciences community. Repository interoperability allows federated data aggregators like DataONE and ESDIS to then provide a common discovery and interoperability layer and a searchable view on top of this federated repository infrastructure.

In this session, we will…
  • Explore the concepts of data sharing, data replication, data duplication among repositories and what they mean for the user community (short intro to the problem)
  • Explore some real-word data sharing/interoperability scenarios,
  • Identify the common elements and requirements for data interoperability between repositories (e.g., Elements: Dataset, Funding Award, Persons, Organizations, Roles, etc., and Requirements: ‘Element’ Identification, ACLs, Attribution of sources, PROV, etc)
  • Try to answer the question, “Are the existing science metadata standards sufficient for data interoperability and replication among repositories?”. I.e., can they express the relationship between data in different repositories (‘primary or original’ data, synchronized copy, copy of certain version, subset associated with publication)

1) Repository interoperability challenges (Jones) 20 minutes

  • technical: identifier practices, mutability, duplication, versioning and derived data variants, built infrastructure

  • socio-cultural: open source & open communities, NIH syndrome, tech leapfrogging, so many standards to choose from

  • DataONE crosswalk/integration experiences

2) Case studies in interoperability challenges

  • EDI / BCO-DMO (Gries) (10 minutes)

  • BCO-DMO / R2R / NCEI (Shepherd) (10 minutes)

  • Arctic Data Center / IARC/ EDI / LTER (Jones) (10 minutes)

3) Brainstorming, Discussion and Q&A (Shepherd moderates) (40 minutes)

  • What are the easy interoperability wins?

  • What are the hard interoperability challenges?

  • What does it take to build an open community where:

    • Many repositories implement the same API, share identifier and versioning models, and can replicate content without creating new identifiers, and can be searched from a common system like DataONE?

Speakers & Moderators
avatar for Matt Jones

Matt Jones

Director of Informatics, UC Santa Barbara
Data Federation | Open Science | Provenance and Semantics
avatar for Adam Shepherd

Adam Shepherd

Technical Director, Co-PI, BCO-DMO @ WHOI
schema.org | Data Containerization | Linked Data | Semantic Web | Knowledge Representation | Ontologies

Tuesday July 17, 2018 11:30am - 1:00pm
Canyon B


Sustainable Data Mgt - Repository Return on Investment - Paper draft 2
Domain-specific data repositories have been established to curate, archive, and publish earth and environmental observation data in response to the need for archive per requests from funders and publishers. Their domain-specific approach has proven successful in changing the research culture and mobilizing data, developing best practices and standards, and training a data management workforce. The Sustainable Data Management Cluster draws on the collective experience of repositories to promote common collaboration and curation strategies. A major activity of this group has been metrics for calculating Return on Investment (RoI) in such repositories. In this session, we will discuss draft 1 of our paper “A discussion of Return on Investment for data repositories in earth and environmental sciences”, and begin work on draft 2.

Speakers & Moderators
avatar for Margaret O'Brien

Margaret O'Brien

Data Manager, University of California, Santa Barbara

Tuesday July 17, 2018 2:00pm - 3:30pm
Canyon B


Enabling transparency and reproducibility in science through practical provenance frameworks
Reproducible science is critical to both researchers and society. Exposing the provenance of research products enables researchers to fully understand computational workflows that led to a result, and is key for computational reproducibility that builds trust in science. Provenance information includes metadata about the structure of scientific workflows, input data and parameters, output data and products like figures and graphs, and software that was executed in the workflow. With provenance, researchers can understand an analysis, guide interpretation of scientific results, propose alternative analysis, and re-execute workflows. Recording all of this in practical systems that are easy to use and available to the research community remains a challenge. During this workshop we will highlight existing and emerging solutions to provenance tracking and explore advances and best practice representing, capturing, and using provenance. Demonstrations of tools and methods supporting provenance capture, editing, and use of provenance for reproducible science will be highlighted.

Speakers & Moderators

Amber Budden

Director for Community Engagement and Outreach, DataONE
avatar for Annie Burgess

Annie Burgess

ESIP Lab Director, ESIP
avatar for Matt Jones

Matt Jones

Director of Informatics, UC Santa Barbara
Data Federation | Open Science | Provenance and Semantics

Dave Vieglais

University of Kansas / DataONE

Tuesday July 17, 2018 4:00pm - 5:30pm
Canyon B
Wednesday, July 18


Standards and technologies for sensor QA/QC annotations, metadata capture, and automated workflows
As sensor networks become more ubiquitous and complex, the scientific community requires a convergence on standards for metadata (e.g., deployment conditions and QC annotations) as well as technology tools to facilitate semi- or fully-automated workflows. Protocols such as SensorML and other emerging standards exist, so how well do they fit these needs and how might they be incorporated into new software tools and frameworks? Where are the gaps and opportunities? This session will incorporate a mix of short presentations (5-10min/ea) on existing tools and forward-looking ideas, as well as group discussion.

Speakers & Moderators
avatar for Renée F. Brown

Renée F. Brown

Information Manager, McMurdo Dry Valleys LTER
warm and cold desert ecosystems, biogeochemical cycles (nitrogen, carbon), climate change, sensor networks in ecology, wireless telemetry, information management, long-term ecological research.
avatar for Scotty Strachan

Scotty Strachan

Director of Cyberinfrastructure, University of Nevada, Reno
Institutional cyberinfrastructure, sensor-based science, mountain climate observatories!

Wednesday July 18, 2018 2:00pm - 3:30pm
Canyon B


Community Resilience: Demonstrating the Socioeconomic Value of Earth Science data (Part II)
Can Earth Science data contribute socioeconomic value by enhancing place-based community resilience? In January, we held Part I - and from that session we developed a roadmap for engaging within the ESIP community to host a data-specific community resilience session. This session will be a breakout session to follow on from that work, with the intention to facilitate collaboration between place-based community resilience data consumers and decision-makers, and ESIP data practitioners and community members.

This session will seek engagement from city planners, resilience officers, or data consumers to talk about what their objectives are and what data-related pain points they have (e.g. issues they might be having with access, discovery, wrangling or analyzing the earth science data they need). There will be collaborative participation from ESIP data community members (e.g. Semantic Tech committee and ESDA) to work together to develop possible solutions. The session would be run in a workshop-style, with

Speakers & Moderators

Wednesday July 18, 2018 4:00pm - 5:30pm
Canyon B
Thursday, July 19


Quantifying (Yes Quantifying!) Value of EO Data via Socioeconomics
If putting a dollar value on your research makes you queasy, yet you must do it to justify and continue your work, this session is here to help. This session will feature 3 presentations on approaches and tools for tying your Earth Observations (EO) data with quantifiable business value. Building upon other ESIP threads such as the benefits of using EO data to build resilient communities, and spatial information as a key to link science, demographics, and economic value, presentations will focus on business use cases for EO, how to connect observation data to economic datasets, and how to position your EO research products. During the latter half of the session, we invite discussion on real world experiences, and challenges and successes you encounter.

1) What's the Value of Integrating Socioeconomic and Earth Observations Data? - Bob Downs (CIESIN), Bob Chen (CIESIN), and Karen Moe (NASA GSFC)
2) Increase the Relevance, Impact, and Efficiency of Your Research - Ben Hickson (University of Arizona)
3) Understanding Value to Articulate Worth in EO Data - Christine White (Esri), Laura McNulty (Esri), and Tripp Corbett (Esri)

Speakers & Moderators
avatar for Christine White

Christine White

Technical Advisor, Esri

Thursday July 19, 2018 9:30am - 11:00am
Canyon B


Natural history museum informatics: new methods, old data
Natural history museums and related databases (e.g. the Paleobiology database, GBIF, Neotoma, Pangea) house a wealth of rich data about our planet and its biological and geological history. Next generation, "Big Data" approaches (e.g. machine learning, network analysis, natural language processing) offer exciting new ways of analyzing this data (paleoinformatics! Network paleoecology! etc). However, museum data collections must be well curated and accessible in order to make this work possible; and informaticians using these data must be aware of public datasets’ potential limitations in their work.

In this session, we'll present recent work at the intersection of new computational methods and old data, and discuss the infrastructures, algorithms, curatorial workflows and other considerations needed for this work. We mean "old data" in both the geologic sense, and in the "this has been on a museum shelf for 100 years" sense, and anticipate that this session will be of interest to folks in paleontology, natural history museum collections management, data curation, and more.

We intend this to be an interactive session, aimed at fostering discussion and building community around natural history informatics projects. What projects are you working on that make use of data derived from museum specimens or physical samples? What new approaches are you using? What new methods would you like to use?

Tentative schedule:
Short talks
Introduction to and motivations for this session - Andrea Thomer
Quantifying ecological impacts of mass extinctions with network analysis of fossil communities - A.D. Muscante
Work on 3d fossil scans - Gary Motz
Physical samples and schema.org - Doug Fils

Discussion - convened by Peter Fox and Andrea Thomer

Notes doc: http://bit.ly/2L2O9Si

Speakers & Moderators
avatar for Gary Motz

Gary Motz

Chief Information Officer, Assistant Director for Information Services, Indiana University | Indiana Geological and Water Survey
Gary is an earth scientist and curator of data, metadata, and natural history collections. In his role at the Indiana Geological and Water survey, he oversees the information services division which provides cartographic, information technology, cyberinfrastructure, data science... Read More →
avatar for Andrea Thomer

Andrea Thomer

Assistant Professor, University of Michigan, School of Information
I'm an information scientist interested in biodiversity and earth science informatics, natural history museum data, data curation, information organization, and computer-supported cooperative work! I'm looking for students!

Thursday July 19, 2018 11:30am - 1:00pm
Canyon B
Friday, July 20


Enhancing the Robustness of Data - Information Quality and Usability Principles Can Help
The session will start with an introduction to key areas of data quality, how data quality measures have been applied to Earth Science data, and why it's important. The discussion will continue with how usability can provide utility to various applications and disciplines. These two presentations will lead to an overview of a web application for time series data quality control.

After these respective overviews, a more specific demo will be provided for the quality control software, including an explanation for how it works and how it represents a synthesis of information quality and usability. During this demo, audience members will participate in usability testing and provide live feedback about how intuitive the application's various interfaces are. In the end, participants will obtain a clearer understanding of the importance of information quality and usability, and how the related principles can help quality control software to be useful to its target community.

Speakers & Moderators

Sophie Hou

Data Curation and Stewardship Coordinator, National Center for Atmospheric Research
data management/curation/stewardship: including but not limited to data life cycle, policies, sustainability, education and training, data quality, usability.

David Moroni

Data Stewardship and User Services Team Lead, Jet Propulsion Laboratory, Physical Oceanography Distributed Active Archive Center
I am a Senior Science Data Systems Engineer at the Jet Propulsion Laboratory and Data Stewardship and User Services Team Lead for the PO.DAAC Project, which provides users with data stewardship services including discovery, access, sub-setting, visualization, extraction, documentation... Read More →
avatar for Ge Peng

Ge Peng

Research Scholar, CICS-NC/NCEI
Dataset-centric scientific data stewardship, data quality management
avatar for Hampapuram Ramapriyan

Hampapuram Ramapriyan

Research Scientist/SME, Science Systems and Applications, Inc.
Information Quality, Data Stewardship, Provenance, Preservation Standards

Friday July 20, 2018 9:30am - 11:00am
Canyon B


Data Model Cluster Meeting
First meeting of the new Data Model cluster

Speakers & Moderators
avatar for Ethan Davis

Ethan Davis

UCAR Unidata

Friday July 20, 2018 11:30am - 1:00pm
Canyon B