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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
 

11:30am

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)
Agenda

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

2:00pm

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

4:00pm

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
AB

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
DV

Dave Vieglais

University of Kansas / DataONE



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

2:00pm

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
 
Friday, July 20
 

9:30am

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
SH

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.
DM

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