2017 ESIP Summer Meeting

In this lunchtime-working session we will begin planning for the next Geosemantics Symposium, to be held in conjunction with the 2018 ESIP Winter Meeting. Come with your ideas for topics, speakers and interactive workshops.

This session is intended to follow the plenary session (http://sched.co/As6G) on Scientific Quality (which has a special focus on data uncertainty). The purpose of the session is to continue discussion initiated during the plenary session inspired by the invited panelists’ presentations from the earlier plenary session and to foster more of a collaborative interchange of technical information intended to help advance the Scientific Quality of Earth science data and to discuss effective ways to communicate uncertainty to a boarder community. This session will feature an additional invited speaker who will join the plenary speakers to facilitate this discussion to provide even more diversity of opinion and expertise on the subject matter (relative to the plenary) to facilitate active participants who wish to dive deeper into technical discussion.
By way of background, the Information Quality Cluster has formally defined information quality as a combination of the following four aspects of quality, spanning the full life cycle of data products: 1. Scientific quality defined in terms of accuracy, precision, uncertainty, validity and suitability for use (fitness for purpose); 2. Product quality that takes the following into account: the degree to which the scientific quality is assessed and documented; how accurate, complete and up-to-date the metadata and documentation are; the manner in which the data and metadata are formatted; the degree to which the associated information is published and traceable throughout the data lifecycle; 3. Stewardship quality addressing questions such as how well data are being managed, preserved, and made accessible; and 4. Service quality that deals with how easy it is for users to discover, get, understand, trust, and use a given data product along with its metadata, as well as ensuring that an archive has the requisite knowledge base and people functioning as subject matter experts available to help its data users.
The focus of this session is on scientific quality, and especially on uncertainty. In the preceding plenary session, a panel of invited speakers from a variety of Earth science disciplines will have addressed questions such as: How is uncertainty determined and characterized in the products of their research or application? What are the major side effects and limitations of common statistical techniques used to quantify and characterize uncertainty? Do advanced computing techniques such as quantum computing and neural networks offer any significant advantage over traditional techniques for quantifying and characterizing uncertainty? What is the impact of uncertainty on the quality of their data products? How is data uncertainty accounted for when multiple sources of data are spliced and woven into a single product? How do they document and convey the information about uncertainty to other scientific users? What is the best way of conveying uncertainty to (possibly skeptical) public?
This session provides for more discussion with the panelists and other practitioners in scientific data generation, Scientific Quality assessment, and management. The discussion is expected to help identify issues pertaining to understanding, capturing and conveying uncertainty and to recommend actions that the Earth science data community can readily act upon to ensure and improve the overall Scientific Quality of their datasets.

Federal agencies and big companies both struggle at times in taking the big ideas coming out of research and development and turning them into operational reality. This session will pose some of these challenges from different sectors with real world use cases, ask participants to brainstorm how the activities going on in ESIP can potentially address these challenges, and work together to come up with a project to test the ideas in followup actions from the ESIP summer meeting.

In the past few months, a range of grassroots initiatives, termed "data rescue," "data refuge," and "guerrilla archiving", have gained significant momentum to duplicate US government agency data. These initiatives are inspired by recent reports that scientific data and documentation have been removed from government websites, and by concerns over US budget proposals that slash scientific budgets. Much of this effort has focused on creating copies of Earth science data generated and held by US federal agencies, with hundreds of volunteers across the country and internationally spending considerable time and energy.

Early connections have been made between the “rescue” volunteers and the federally-funded data community; these conversations have highlighted some of the different perspectives and opportunities regarding agency data. Members of the ESIP Data Stewardship committee recently produced a document that provided information and recommendations from the data center perspective, http://www.esipfed.org/press-releases/stronger-together. This panel will present responses to this document from the “data rescue” community, and will open discussion for any further action the ESIP community can/should take on this issue.

Different member organizations utilize different systems for creating documentation. Some groups are just starting, while others have created multiple solutions over time. This session hopes to highlight the commonalities as well as unique approaches to common problems serving the user community.

Report backs and strategy developments from around the growing sUAS data management domain

CoverageJSON (or “CovJSON” for short) is a JSON-based format and specification for encoding coverage data. It is primarily intended to be used as a means to convey data from servers to web browsers, so that web developers can develop rich, highly interactive applications based on coverage data. This presentation will update and extend our previous work (presented at AGU Fall Meeting 2016) entitled "An Innovative Open Data-driven Approach for Improved Interpretation of Coverage Data at NASA JPL’s PO.DAAC" by displaying how we use URIs to encode semantic information and context through linked data mechanisms such as JSON-LD e.g. CovJSON-LD. This presentation will be of significant appeal to both semantic technologies and visualization enthusiasts.

This late-breaking session will discuss the just-announced (July 10) availability of data from the new GOES-16 geostationary weather satellite operated by the National Oceanic and Atmospheric Administration (NOAA). As part of the NOAA Big Data Project, several Cloud platforms will be making the GOES-16 data accessible for computation and egress. Some details are still to be finalized, and the data are still considered Provisional rather than Operational pending final check-out of the spacecraft and data quality control. This session will provide whatever information is known at the time, followed by an open discussion of potential ideas, tools, issues, and focused activities around these data. Of particular interest are thoughts regarding how to encourage and facilitate in-place computation, particularly using Cloud-native services, rather than mere downloading of data.

Note: Remote access will not be available for this last-minute session.

A new measurement ontology, the Ecosystem Ontology (ECSO), is now available, as is a system for annotating datasets in DataONE. Because ontologies include parent-child structure, synonyms and enable formal logic, the data discovery process can be streamlined when dataset metadata incorporates annotations from ontologies. The ECSO project currently focuses on measurements related to carbon cycling - such as fluxes (e.g., ecosystem exchange, NPP, respiration) and concentrations (of pigments, carbon compounds). Measurement descriptions include units, applicable observed entities (both terrestrial and aquatic), and methods, and are based on a broad corpus of datasets found in DataONE. Additions are planned to add other classes of measurements to ECSO. During this workshop, we will explore the ECSO ontology and demonstrate the annotation system. Participants are invinted to bring their own EML-described datasets for advice on annotating them with the ECSO ontology.

Many excellent research projects have failed to make the transition into an operational capability. This session will bring together operations managers and developers in the area of tropical storms, hurricanes and other cyclonic activity and discuss experiences in bring research into the world of operational forecasting and disaster response. The outcome of this session will be a list of lessons learned and an assessment of what worked and why other things did not.

Science gateways are user environments and science-centric middleware that broaden and deepen access to scientific computing, data, and other resources to support scientific research. Science gateways enable users to more easily use scientific applications on diverse high performance and cloud computing resources, to discover and analyze data, to reproduce computational experiments, and to share and discuss tools and results with colleagues.
Many successful science gateways have been built, but there have also been many failures, and even successful gateways must find ways to sustain themselves. To solve these problems, the National Science Foundation has funded the Science Gateways Community Institute (SGCI) as one of its two initial software sustainability institutes. The SGCI’s mission is to increase the number of successful science gateways, and to help those gateways sustain and grow their user communities. To accomplish this mission, the SGCI provides services for science gateway developers. Services include incubation support, which helps gateway developers to develop a business startup mentality towards their projects; extended developer support, which provides projects with embedded technical assistance; the scientific software collaborative, which enables the community to publish and find software that can be used for building gateways; community engagement and exchange, which helps build the overall science gateway community; and workforce development, which helps increase the pipeline of student science gateway developers.
The goal of this session will be to increase the awareness of the potential for science gateways in the ESIP community. The session will feature a presentations on current earth science gateways, a presentation on earth science and general purpose science gateway technologies that can be used as science gateway platforms, a presentation on NSF-funded SGCI services that can be used to develop gateways, and a discussion of the general and specific requirements of the earth science community.

Today's scholarly works can be dynamic, distributed, and complex. They can consist of multiple related components (article, dataset, software, webpage, multimedia, etc.) that are made available asynchronously, assigned a range of identifiers, and stored in different repositories. Each work may involve various funders, institutions, and contributors in a range of roles.

Using semantic web technologies, the RMap platform is designed to capture and preserve maps of relationships amongst scholarly works, and make the connections discoverable to relevant user communities. Through RMap, researchers can express the full complexity of a work, and navigate the network that forms both visually and through an API.

The RMap team is currently working with the Center for Open Science to build features that makes RMap functionality available through the Open Science Framework (OSF) platform. OSF is a free, open source web application that provides project management support for researchers across the entire research life-cycle. Researchers can use the platform to collaborate on projects, manage files, and share research with the public. One OSF-RMap feature will provide the option to create and display relationships between OSF projects and other related materials that are stored outside of OSF. Another will allow OSF users to express the roles they played in different projects as RMap relationships. A third will support the display of a users’ most frequent collaborators.

In this session, we will introduce the RMap system and showcase some of the features of its API and GUI. The RMap team have partnered with the ESIP Usability Cluster to harness meaningful feedback provided through the expertise of the ESIP community members regarding the RMap visualization and proposed OSF features. Participants will get the unique opportunity to preview these features and contribute feedback that we will use to improve this work as it moves into production.

The RMap project was funded by the Alfred P. Sloan Foundation and carried out as a partnership between Data Conservancy, Portico, and IEEE.

Data are not only the lifeblood of the geosciences but they have become the currency of the modern world in science and society. Rapid advances in computing, communications, and observational technologies — along with concomitant advances in high-resolution modeling, ensemble and coupled-systems predictions of the Earth system — are revolutionizing nearly every aspect of our field. Modern data volumes from high-resolution ensemble prediction/projection/simulation systems and next-generation remote-sensing systems like hyper-spectral satellite sensors and phased-array radars are staggering. For example, CMIP efforts alone will generate many petabytes of climate projection data for use in assessments of climate change. And NOAA’s National Climatic Data Center projects that it will archive over 350 petabytes by 2030.

For researchers and educators, this deluge and the increasing complexity of data brings challenges along with the opportunities for discovery and scientific breakthroughs. The potential for big data to transform the geosciences is enormous, but realizing the next frontier depends on effectively managing, analyzing, and exploiting these heterogeneous data sources, extracting knowledge and useful information from heterogeneous data sources in ways that were previously impossible, to enable discoveries and gain new insights. At the same time, there is a growing focus on the area of “Reproducibility or Replicability in Science” that has implications for Open Science.

The advent of cloud computing has opened new avenues for not only addressing both big data and Open Science challenges to accelerate scientific discoveries. However, to successfully leverage the enormous potential of cloud technologies, it will require the data providers and the scientific communities to develop new paradigms to enable next-generation workflows and transform the conduct of science. Making data readily available is a necessary but not a sufficient condition. Data providers also need to give scientists an ecosystem that includes data, tools, workflows and other services needed to perform analytics, integration, interpretation, and synthesis - all in the same environment or platform. Instead of moving data to processing systems near users, as is the tradition, the cloud permits one to bring processing, computing, analysis and visualization to data – so called data proximate workbench capabilities, also known as server-side processing.

In this session, speakers will present ongoing work to facilitate a new paradigm for doing science by offering a suite of tools, resources, and platforms to leverage cloud technologies for addressing both big data and Open Science/reproducibility challenges, and engage in a community dialog on the opportunities and challenges of the new paradigm.

Institutions are integral in the support of the scientific process. They establish the policy and procedure for researchers to follow ensuring quality and integrity across the institution. They bear the risk and impact when research does not stand up under scrutiny, or data are improperly handled or used in research.

Institutions are challenged with meeting the needs of a researcher while at the same time managing the infrastructure and polices that protect the institution’s integrity.

Examples of Researcher Frustration and Institutional Risk:
• A researcher with a 6-month grant where the institutional steps to download the needed data were not completed until the 7th month.
• A researcher who needs a dataset with compliance and regulations requirements that add significant risk to the institution cyber-infrastructure resulting in not accepting a grant because the capacity to comply was not in place.

In this session, we invite the institution community and the greater stakeholder community to discuss the research data lifecycle, how institutions are helping researchers with data challenges, and the numerous compliance requirements that are levied by institutions on researchers, and how we can make a more streamline process for the scientific process.

Once again at this year’s ESIP Summer Meeting we'll hold a Research as Art event on the evening of Wednesday, July 26. Our goal is to encourage the ESIP community to use visual media to communicate their data and research; and to think about their research as an ongoing narrative that can be told through visual media. This event is about showing how the ESIP community uses data. The idea is to have a range of entries that show the diversity of research done by members of our community, as well as their creativity and the impact of their work, in an engaging and accessible way. 

Fifteen to twenty regional educators will join the ESIP education community at this exciting 1-day workshop. Participating teachers will receive a recreational drone, learn about several data-related activities within the ESIP community, and the August 2017 Eclipse. This full day workshop will take place on Thursday July 27th, the agenda follows:

8:30- Welcome, Introductions, ESIP Overview - Shelley Olds, ESIP Education Chair
9:00- NOAA Data in the Classroom - June Teisan
10:00- Using Mapping Tools to work with Natural Hazards Data- Robert Downs
10:30 - break
11:00- Getting the Most out of GOES-16 Data - Margaret Mooney
11:30- The Great American Eclipse* - Pat Reiff
12:00- Eclipse Outdoor Activities
12:30- LUNCH
1:30- Distribute Drones, explore drone activities - Shelley Olds & LuAnn Dahlman
2:00- Hands-on Drone Activities (in small groups)
3:30- Break
4:00- Drones in the classroom 
4:30- Discussion (design a eclipse drone activity?)
5:00- Evaluation and wrap-up
5:30 - Adjourn

*everyone is welcome

Over the past couple of years research data stewardship platforms and tools have grown substantially. Yet when we say "grown" it may not be quite in the way one might think. Instead of growing larger as a unit, a measurement of growth here is in a systems ability to connect and the perception of relevance and utility of that system to the user communities. In this session we propose to introduce several platforms and initiatives within the research data management realm that exhibit this enhanced capacity to connect with the user on their terms. These platforms are unique in their missions yet they also connect with one another in ways that advance the overall utility for the user.  We would like to get a larger picture of the current work of several of these entities, their common threads, and the specific projects with which they are engaged.
We are honored to have the following speakers present:

• Josh Nicholson with Authorea - a document editor that allows researchers to write, cite, collaborate, host data and publish content online.
• Laurel Haak with OrcID - a nonprofit organization whose service provides a unique identifier for individuals to use with their name as they engage in research, scholarship, and innovation activities.
• John Kunze with EZID - a service conceived, built, and maintained by the California Digital Library to create and manage globally unique IDs for data and other sources.
• Amy Krichhoff with Portico - a large, international digital preservation service designed by the non-profit group ITHAKA to facilitate the academic community's use of digital technologies and sustainable preservation of the scholarly record.
• Karen Hanson with RMap - a project to develop mechanisms to preserve the many-to-many complex relationships among scholarly publications and their underlying data, thereby supporting the continual development of scholarly communication and digital publishing. (This will be an update from the winter session.)
• Mercè Crosas with Dataverse - an open source project developed at Harvard, Dataverse is a research repository software package that allows its users to share, preserve, cite, explore, and analyze research data via an online web application.

By leveraging the ways these entities work together in the user's favor, this in turn helps to solve the issue of too many disparate and unsustainable singular operations. As Simon Porter (2016) notes, system boundaries are disappearing and in its place emerges a "new research information citizenship" - one based on a network of contributors not confined to one specific system. Looking at these groups we can begin to see this emerging. The platforms and their utilities are of interest to ESIP members on several different levels. They represent some of the latest work in user-centered research data platforms and they also focus on openness, transparency, and ways to foster connections among different stakeholders and data user groups. In turn ESIP provides a unique venue for these platforms to explore new ways to work with the communities most engaged in working with multiple types of earth science data. 
The session will conclude with a discussion of gaps and the path forward.
Science, Digital; Porter, Simon (2016): Digital Science White Paper: A New ‘Research Data Mechanics’. figshare.https://dx.doi.org/10.6084/m9.figshare.3514859.v1 Retrieved: 16 56, Oct 27, 2016 (GMT)

Modeling and forecasting capabilities have evolved considerably over the past 10 years. Hydrology, atmospheric chemistry, physical oceanography and weather have all experienced substantial improvements, but more are on the way. In addition, the tools upon which these models run are improving rapidly, including the supercomputing capabilities and the related analysis tools. A panel will describe modern advances and then open the floor for discussion. This session will identify new techniques and technologies that can be leveraged from the current advances to improve the speed and accuracy of these models. The output of this session will be a Paper summarizing the impact of the emerging capabilities and what can be done with them.

Metadata creation and curation is often confusing for those outside of the digital repository community. Many data providers wish to provide accurate and helpful information for metadata but are often overwhelmed by the various metadata standards and the jargon associated with many metadata concepts. This session explores ways to lower these barriers to metadata creation and curation.

Come in and tell us about your experience with ESIP. We will be taking video and audio to capture ESIP stories and outcomes over the past, nearly, 20 years. 

There are many freely available software and technologies that can improve DevOps for the Cloud. We invite presentations on the applications and lesson-learned on these solutions. We invite presentations on container technology, orchestration and automation, container and virtual machine management, data analytic, machine learning, data management, etc.

Current list of invited speakers

• Nga Quach - JPL - Docker Container Deployment
• Joe Jacob - JPL - Big Data Analytics using Apache Spark
• Phil Yang - GMU - Building private cloud environment using Eucalyptus and OpenSpack
• John Readey - HDF Group - HDF Data Service

Standards are the corner-stone of interoperability. As we begin integration of sensors directly into a network of data, providing fully-described metadata becomes a requirement to enable assessment and assurance of data quality. This workshop provides hands-on introduction to tools and best-practices that enable development of resources that can operate within the standards-based, community-adopted frameworks of the Open-Geospatial Consortium and the W3C Semantic Web.

The Sustainable Data Management Cluster draws on the collective experience of those managing data and repositories to promote collaboration and curation strategies that benefit both research networks and individual investigators. A major activity of this group is to develop a framework for calculating Return on Investment (RoI) in data repositories. Recent activities include targeted workshops (with NSF funding) and ESIP meeting sessions. 

Defining RoI in the research data repository setting is challenging, but in normal business terms calculating RoI provides an assessment of the efficiency of an investment by performing a comparison of the amount invested versus the gain resulting from the investment. It is calculated by dividing the measured benefit by the cost of the investment and is normally expressed as a ratio or percentage:
ROI = (Calculated gain from investment - Cost of investment)/Cost of investment

In this session, we will continue the examination of current approaches to evaluating the RoI of research data repositories with an expert in that field, Neil Beagrie (remotely), with data that pertain to our own repositories. Our goals are a white paper outlining proposed approach(es) for assessing the ROI of existing repositories with suggested best practices and defined metrics.

Coming.

Update on netCDF-CF activities. Discuss possible ESIP activities and next steps.

Documentation is essential for discovery, access, use and understanding. The usefulness of documentation in large part is determined by the end user's community of scientific practice. By analyzing metadata records for completeness, using a variety of community driven recommendations, we can determine if a metadata record or collection will be useable for a target audience. This lab will be conducted in a JuPYter notebook using Python.

Come in and tell us about your experience with ESIP. We will be taking video and audio to capture ESIP stories and outcomes over the past, nearly, 20 years. 

Are you thinking of moving your existing applications to the cloud? Are you designing your next project to use the cloud? There are just too many unknowns when we consider cloud computing for our projects. This session focuses on migrating existing technologies and services to the cloud, and new projects wanting to fully leverage the cloud environment. We invite presentations on lessons learned, software and architectural approaches (e.g. 12-factor), and cost saving strategies. In addition to oral presentations, we encourage poster and demos at during the ESIP poster session.

Current list of invited speakers:

• Jeff de La Beaujardiere - NOAA on behalf of USGEO DMWG - Presentation of draft USGEO Cloud Computing Recommendations
• Dave Smith - EPA - Data Science at EPA
• Dan Pilone / Doug Newman - EOSDIS/EED2 - Cloud Onboarding with NGAP
• Hook Hua - JPL - OCO2 and Sentinel-1A/B analysis onboarding
• Paul Pilone - E84 - Serverless Data Querying with Amaon Athena

Enabling transparent accountability and establishing trust with its communities are crucial to a data repository because having these characteristics can have significant impact on the repository’s current services as well as long term value. One method for a data repository to demonstrate its commitment and progress towards building its trustworthiness is through gaining an official recognition. However, since there are several standards or certification processes available, it might not always be clear how and why a data repository should follow a particular standard or pursue a specific certificate versus another.

During this session, the session speakers will present their experiences with reviewing and selecting from the various options for formalizing trustworthiness of their repositories, including ISO 16363, nestor Seal, and Data Seal of Approval. The discussion will also encompass the pros and cons, as well as overall value, of undertaking such a certification process.

The session agenda is the following:

1. Introduction – Matt
2. “Navigating the Trusted Repository Requirements: A Beginner’s Perspective” – Sophie (NCAR) 
3. “Selecting and Adopting Criteria to Improve a Trustworthy Data Repository” - Bob (SEDAC) 
4. “Certifying Trusted Digital Repositories: USGS Use Case” -John (USGS) 
5. “NASA’s EOSDIS – Trust and Certification” - Rama (SSAI/NASA ESDIS)
6. “Keep Up the Good Work: Maintaining Trust Between Certification Assessments” - Shelley (AGU) 
7. Q & A 

Many ESIP meeting attendees are members of several other informatics-related organizations, for example, AGU Earth and Space Science Informatics (ESSI) Focus Group, Geological Society of America Geoinformatics Division, NOAA Environmental Data Management (EDM), NASA Earth Science Data System Working Groups (ESDSWG), USGS Community for Data Integration (CDI), Research Data Alliance (RDA), EarthCube, and Force11, each which host their own annual or biannual events. At the ESIP 2016 Summer meeting, participants at a working session identified actions that could reduce silo-ing and duplication of effort in these different organizations. One idea was to have leaders and members of multiple organizations meet once a year to discuss ways to coordinate and leverage their events and resources.

In this working session, we will build on last year’s work by discussing the upcoming schedule of meetings and events, identifying widely-applicable outputs to share (such as best practice and guidance documents), and setting future check-in dates to review progress and improvements.

Fifteen regional educators will join the ESIP education community at this exciting 1-day workshop. Participating teachers will receive a recreational drone, learn about several data-related activities within the ESIP community, and the August 2017 Eclipse. This full day workshop will take place on Thursday July 27th, the agenda follows:

8:30- Welcome, Introductions, ESIP Overview - Shelley Olds, ESIP Education Chair
9:00- NOAA Data in the Classroom - June Teisan
10:00- Using Mapping Tools to work with Natural Hazards Data- Robert Downs
10:30 - break
11:00- Getting the Most out of GOES-16 Data - Margaret Mooney
11:30- The Great American Eclipse* - Pat Reiff
12:00- Eclipse Outdoor Activities
12:30- LUNCH
1:30- Distribute Drones, explore drone activities - Shelley Olds & LuAnn Dahlman
2:00- Hands-on Drone Activities (in small groups)
3:30- Break
4:00- Drones in the classroom 
4:30- Discussion (design a eclipse drone activity?)
5:00- Evaluation and wrap-up
5:30 - Adjourn 

*everyone is welcome

Come in and tell us about your experience with ESIP. We will be taking video and audio to capture ESIP stories and outcomes over the past, nearly, 20 years. 

Fifteen to twenty regional educators will join the ESIP education community at this exciting 1-day workshop. Participating teachers will receive a recreational drone, learn about several data-related activities within the ESIP community, and the August 2017 Eclipse. This full day workshop will take place on Thursday July 27th, the agenda follows:

8:30- Welcome, Introductions, ESIP Overview - Shelley Olds, ESIP Education Chair
9:00- NOAA Data in the Classroom - June Teisan
10:00- Using Mapping Tools to work with Natural Hazards Data- Robert Downs
10:30 - break
11:00- Getting the Most out of GOES-16 Data - Margaret Mooney
11:30- The Great American Eclipse* - Pat Reiff
12:00- Eclipse Outdoor Activities
12:30- LUNCH
1:30- Distribute Drones, explore drone activities - Shelley Olds & LuAnn Dahlman
2:00- Hands-on Drone Activities (in small groups)
3:30- Break
4:00- Drones in the classroom
4:30- Discussion (design a eclipse drone activity?)
5:00- Evaluation and wrap-up
5:30 - Adjourn

*everyone is welcome

Come in and tell us about your experience with ESIP. We will be taking video and audio to capture ESIP stories and outcomes over the past, nearly, 20 years. 

Fifteen to twenty regional educators will join the ESIP education community at this exciting 1-day workshop. Participating teachers will receive a recreational drone, learn about several data-related activities within the ESIP community, and the August 2017 Eclipse. This full day workshop will take place on Thursday July 27th, the agenda follows:

8:30- Welcome, Introductions, ESIP Overview - Shelley Olds, ESIP Education Chair
9:00- NOAA Data in the Classroom - June Teisan
10:00- Using Mapping Tools to work with Natural Hazards Data- Robert Downs
10:30 - break
11:00- Getting the Most out of GOES-16 Data - Margaret Mooney
11:30- The Great American Eclipse* - Pat Reiff
12:00- Eclipse Outdoor Activities
12:30- LUNCH
1:30- Distribute Drones, explore drone activities - Shelley Olds & LuAnn Dahlman
2:00- Hands-on Drone Activities (in small groups)
3:30- Break
4:00- Drones in the classroom
4:30- Discussion (design a eclipse drone activity?)
5:00- Evaluation and wrap-up
5:30 - Adjourn

*everyone is welcome

As part of the joint ESIP-All Hazards Consortium (AHC) Data Driven Decision Making (3DM) collaboration, the Disasters Lifecycle cluster is participating in an activity to develop use cases. The AHC group is looking to enhance disaster response decision making with better data. This breakout session will review and refine the process by which ESIP members analyze the AHC use cases to derive key information to identify relevant candidate data sets. We will look at what it will take to prepare and test data sets, and if determined to be useful, address how to make the data sets operational. We will review ongoing work on exercises, such as Cascadia Rising, as well as Operational Readiness Levels (ORLs) for maturing data sets through the ESIP GeoCollaboration Testbed. Ideally we may develop a pathfinder data set to exercise the data use strategy.

A number of data centers have explored various approaches to permit the integrated discovery, access and analysis of Earth science data from different observational platforms and model outputs. The goal of this session is to evaluate proofs-of-concept and prototypes accomplished to date, with the intent identifying a set of requirements for implementing an operational capability to curate such collections across different data centers. These recommendations will focus on virtual collections implemented through NASA's Common Metadata Repository.

The three funded projects from the Fall 2016 ESIP Lab RFP will report out on their projects. Lear about 1) An Automatic Approach to Building Earth Science Knowledge Graph to Improve Data Discovery 2) Prototyping a Cloud-based High Performance Spatial Web Portal for Parallel Analytics of Big Climate Data, and 3) Cloud-based computing for predicting streamflow in snowmelt dominated watersheds.

This has been another exciting year for virtual reality (VR) and augmented reality (AR) technology and there are many individuals and institutions investigating the applicability of these technologies for science. In this breakout session, we will present some of the work that is taking place and connect it to the types of data and focus areas of interest to ESIP members. Additionally, the results of the NASA Earth Science Technology Office (ESTO) Study of VR/AR for Science and potential use cases will be presented.

Now that the DMT Clearinghouse is up and running, and following on from some user testing of the interface and functionality, we want to provide a number of opportunities for interested participants to help us move the Clearinghouse forward in a wild & woolly working session. Organizers will bring suggestions for educational resources to add to the DMT Clearinghouse, but are also seeking new sources of training materials.  You can prepare for the session ahead of time by bringing information about any educational resources that you think would be useful to researchers and data professionals. At the session, we will work with the attendees to review the suggested resources, submit those appropriate for the Clearinghouse, and allot time to look for other resources to add to our list of resources to submit.
The kind of educational resources we’re looking for could be delivered online, face to face, or using a combination of both techniques.  Examples of possible resources include: remote access tutorials, webinars, videos, audio presentations, exercises or training activities such as specific examples of data use or so-called data “recipes” that could be used to supplement other educational resources, syllabi, lesson plans, teacher guides, related tool training guides (e.g., for DMP Online), etc.  All resources should provide instruction directed to researchers and/or data professionals who wish to train themselves or others on best practices related to the management of research data including but not limited to Earth science data.  In terms of audience, generally, we are looking for resources that would offer instruction to upper level scientists of all types, undergrads / early grad students, post-docs and early career scientists, data professionals such as data managers and data librarians, and citizen scientists.  
For ideas about what to submit, check out what’s already in the DMT Clearinghouse at:  http://dmtclearinghouse.esipfed.org.   At the working session, organizers and experienced submitters will be able to answer questions, show examples, explain decisions made with respect to prior submissions, and celebrate your additions to the inventory as well as collect your feedback on your user experiences with the DMT Clearinghouse website functionality and resource submission form.  As there is a limit to the number of people who can attend remotely, if you wish to attend this session remotely, please let us know that you will be attending on the ESIP Sched app or at:   https://docs.google.com/spreadsheets/d/1TaGX6xJt-JKDtjrA-eUGTXf1i2bm-6wKEgk6W1D54PU/edit?usp=sharing.  For questions, please contact either Nancy Hoebelheinrich (nhoebel@kmotifs.com) or Sophie Hou (hou@ucar.edu).

This interactive breakout session will build on initial work in the Disasters Lifecycle Cluster addressing Trusted Data concepts (derived from www.tdwi.org). The goal is to develop a working definition of Trusted Data for data sets supporting disasters-related activities, however clarifying the characteristics and features will be relevant to other ESIP data domains. In recent work with the All Hazards Consortium on Data Driven Decision Making, our 3DM workshops, we see a need for a more precise definition of Trusted Data as we discover, test and validate data sets for operational use. We plan to leverage relevant lessons learned from disaster preparedness exercises such as Cascadia Rising, and experience with socio-economic data at CIESIN. We will also review complementary work on Operational Readiness Levels (ORLs) for maturing data sets through the ESIP Geo-Collaborate Testbed, with an end goal of validating or certifying resulting data sets as Trusted.

Participants in the “Getting Past Jargon” session at the winter 2017 ESIP meeting identified close to 100 terms (https://goo.gl/gO31sP ) that could be considered problematic within Earth science domains. Help us bridge these gaps in understanding! Join us for a communal updating of Wikipedia entries related to these terms. We will give participants some background on how to do this, and hope that this will lead to better understanding of “Geoscience Jargon” within and outside the Earth science community.

Please bring a wifi enabled laptop to the session. We also encourage interested attendees to create a Wikipedia account (https://en.wikipedia.org/w/index.php?title=Special:CreateAccount&returnto=Main+Page ) in advance of arriving in Bloomington, as there is a limit to new editors per IP address per 24 hours.

The Semantic Technology Committee is eager to work with ESIP community members to prototype semantic solutions to real life information technology issues. We will be identifying use cases and requirements that could benefit from semantic solutions, and will be looking for partners with who are interested in investigating the use of existing semantic applications, or prototyping new applications that address those use cases and requirements. We will seek to form partnerships between semantic technology developers and ESIP community members looking for solutions, and will work together to brainstorm possible testbed proposal ideas.

The Data Stewardship Committee has been active over the last year in a number of different areas, including Provenance and Context Content Standard, Data Management Training, Information Quality, and Identifiers/Citations. This session will discuss progress on committee activities, and provide an opportunity for making plans and determining roadmap for the next 6 months toward the committee’s strategic objectives:
http://wiki.esipfed.org/index.php/ESIP_Data_Stewardship_Strategic_Plan_Calendar_Year_2017

The goal of this workshop is to strengthen the ties between the GCMD keywords and the user community by determine the user’s needs and prioritizing future keyword releases and features based on those needs. The workshop will include a short presentation on the GCMD keywords, how other communities are using the GCMD keywords, and conclude with a open discussion of the GCMD keywords through an audience interaction activity using Slido!

I. Introduction To GCMD Keywords (20 Minutes)

• Overview of GCMD Keywords
• Open Keyword Community
• Rationale for Keyword Refinement

II. Communities Using GCMD Keywords (30 Minutes)   

• "Semantic Uses of GCMD Keywords" (Lewis Mcgibbney, NASA JPL)
• "GES DISC Search Interface Using GCMD Keywords’" (Carlee Loeser, GES DISC) 
• "More Rules, Less Committees: A way forward in keyword land" (Ted Habermann, HDF Group)  

III. Open Discussion of GCMD Keywords (40 Minutes)

• Audience Interaction Activity Using Slido!