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NSF EarthCube Workshop for Ocean Time Series Data

Posted by mmaheigan 
· Monday, August 12th, 2019 
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Download Workshop Report (PDF)

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Venue and dates

Overview

Agenda

Participants

Organizers

Relevant resources

Venue and Dates

Venue: C-MORE Hale Center at the University of Hawai’i Mānoa campus  (PDF map), 1950 East West Road, Honolulu

The workshop commenced first thing in the morning on Friday, September 13 and ended at lunchtime on Sunday, September 15.

We are grateful to workshop sponsor NSF EarthCube and to the C-MORE Hale Center for hosting the workshop.

In preparation for this workshop, we developed a short survey to better understand the data challenges and needs of the ocean time series community.

View the survey results 

NSF EarthCube Workshop for Ocean Time Series Data
September 13-15, 2019 (Univ. Hawai’i, C-MORE Hale Center)

Rationale: Data synthesis and modeling efforts across ocean time-series represents an important and necessary step forward in broadening our view of a changing ocean and improving our return on investment in ocean time-series. Despite the advances achieved over the past decade, significant barriers remain that hinder work across time-series, including issues related to data access, discoverability, and metadata reporting. Furthermore, incorporation of ocean time series data into ocean and earth system models is currently limited due to the lack of a standardized data format and user interface

Scope and Goals: To begin addressing this problem, the Ocean Carbon and Biogeochemistry (OCB) Program (us-ocb.org) convened a small workshop with funding from NSF EarthCube in September 2019 (in conjunction with OceanObs19). The objective of the workshop was to conduct a gap analysis to identify missing data infrastructure that would increase time series data availability and use. This workshop aimed to provide a much-needed forum for discussion of key issues and barriers surrounding data discovery, access, and interoperability.

Participants strategized a path forward on the development of a common framework for shipboard ocean time series data and metadata reporting, and data management resources. The overarching objective of this workshop was to move the shipboard ocean time series community toward a Findable, Accessible, Interoperable and Reusable (“FAIR”) model.
Topics of discussion included (but not limited to) the following ocean time series cyber-infrastructure challenges:

- Establishing a common data model for reporting core time series variables (e.g., definitions, vocabulary, units, precision, associated errors, etc.)

- Establishing standardized metadata reporting guidelines and required fields to facilitate data discovery and re-use

- Improving interoperability among different databases/portals

- Mechanisms to streamline and simplify data submission to oceanographic data management entities (e.g., automation of the time-series data acquisition/upload process)

- Vision and framework for a dedicated time-series data interface that also includes user-friendly visualization and computation options

- Meeting the needs of a broader range of users for data synthesis and information products emerging from ocean time-series

- Application of unique identifiers (such as DOIs) to data sets to enable citation and crediting of data providers

Ocean Time Series Data Workshop Agenda

September 13-15, 2019
C-MORE Hale Center, Honolulu, HI

 

Friday, September 13

8:00-9:00   Breakfast
9:00-9:30   Welcome (Heather Benway, OCB/WHOI) and introductions around the room

PLENARY SESSION
Introduction/overview talks (15 min. talks with 5 mins. for Qs)
9:30   EarthCube overview (Danie Kinkade, BCO-DMO/WHOI)
9:50   FAIR data principles and initiatives (ENVRI-FAIR, GO-FAIR, Enabling FAIR data, etc.) (Justin Buck, BODC/NOC and Steve Diggs, UCSD/SIO)
10:10   Time series data challenges that hinder science (Angelicque White, UH)
10:30-10:45   Break

Insights from current data models (12 min. talks with 3 mins. for Qs)
10:45     Interconnecting ocean time series efforts and frameworks (Laura Lorenzoni, NASA)
11:00     Moving towards FAIR data principles with ERDDAP (Kevin O’Brien, NOAA/PMEL)
11:15     The Ocean Observatories Initiative (OOI) approach to data and metadata (Wendi Ruef, Univ. Washington)
11:30     The international OceanSITES Eulerian Observing network (Johannes Karstensen, GEOMAR)
11:45     Use of controlled vocabularies: Potential applications to time series data (Adam Shepherd, BCO-DMO)
12:00     Integrated Carbon Observation System (ICOS) Ocean Thematic Centre (OTC) (Benjamin Pfeil, Univ. Bergen)
12:15     Ocean Best Practices (Johannes Karstensen, GEOMAR)
12:30-1:30    Lunch

Time series data integration and products (15 min. talks with 5 mins. for Qs)
1:30   Tools and approaches to facilitate data synthesis (Mark Schildhauer, NCEAS/UCSB)
1:50   International Group for Marine Ecological Time Series (IGMETS) overview and challenges (Laura Lorenzoni, NASA/USF)
2:10   Carbon relevant ship-based time series station synthesis – A data product pilot (Nico Lange, Univ. Bergen)

2:30-5:00   Small group discussions (participants self-select, coffee will be available if needing a break)

Group 1. Establishing a common data model for reporting core time series variables (e.g., definitions, vocabulary, units, precision, associated errors, etc.) (Chair: Justin Buck, Auditorium)

Group 2. Improving interoperability among different databases/portals for time series data (Chair: Mark Schildhauer, Agora Room)

5:00   Adjourn for the day, dinner on your own

Saturday, September 14

8:00-9:00   Breakfast
9:00   Group 1-2 report outs  (15 mins. for each chair)
9:30   Group discussion
10:00-12:30   Small group discussions (participants self-select, coffee will be available if needing a break)

Group 3. Establishing standardized metadata reporting guidelines and required fields to facilitate time series data discovery and re-use (Chair: Angel White, Auditorium)

Group 4. Streamlining and simplifying time series data submission (Chair: Danie Kinkade, Agora Room)

12:30-1:30   Lunch
1:30   Group 3-4 report outs  (15 mins. for each chair)
2:00   Group discussion

2:30-5:00   Small group discussions (participants self-select, coffee will be available if needing a break)

Group 5. Application of unique identifiers (such as DOIs) to enable time series data citation and credit to be attributed to data providers (Chair: Adam Shepherd, Table Outside)

Group 6. Meeting the needs of a broader range of users for data synthesis and information products emerging from ocean time-series (Chair: Laura Lorenzoni, Auditorium)

Group 7. Designing the ultimate time-series data interface that also includes user-friendly visualization and computation options (Chair: Lance Fujieki, Agora Room)

5:00   Adjourn for the day
6:30-8:30   Group dinner (Tiki’s Grill and Bar, 2570 Kalakaua Ave)

Sunday, September 15

8:00-9:00   Breakfast
9:00   Group 5-7 report outs  (15 mins. for each chair)
9:45   Group discussion
10:15   Break

10:30   Participants assist chairs to finish compiling recommendations from small groups and discuss format/outcomes (participants self-select for one breakout topic to assist with)

11:30   Full group discussion (issues and remaining Qs, next steps, assignments, etc.) – considering the following:

- Format of recommendations (best practices) – Ocean Best Practices to codify once finalized

- EarthCube guidelines/requirements?

- Dissemination to time series community for feedback

- Opportunities for peer-reviewed publication(s)

12:00   Closing remarks and adjourn
12:30   Lunch

Workshop participants

Jose Abella-Gutiérrez
jabella@cigom.org

Andrew Barna
abarna@ucsd.edu

Heather Benway
hbenway@whoi.edu

Annie Bourbonnais
abourbonnais@seoe.sc.edu

Justin Buck
juck@bodc.ac.uk

B. B. Cael
bbcael@hawaii.edu

Pat Caldwell
patrick.caldwell@noaa.gov

Fernando Carvalho Pacheco
fcarvalho.pacheco@gmail.com

Tara Clemente
tclement@hawaii.edu

Kim Currie
kim.currie@niwa.co.nz

Bjoern Fiedler
bfiedler@geomar.de

Lance Fujieki
fujieki@hawaii.edu

Ralf Goericke
rgoericke@ucsd.edu

Adriana Gonzalez Silvera
adriana.gonzalez@uabc.edu.mx

Joseph Gum
jgum@ucsd.edu

Dana Hunt
dana.hunt@duke.edu

Robert Izett
rizett@eoas.ubc.ca

David Karl
dkarl@hawaii.edu

Johannes Karstensen
jkarstensen@geomar.de

Danie Kinkade
dkinkade@whoi.edu

Nico Lange
Nico.Lange@uib.no

Ricardo Letelier
letelier@coas.oregonstate.edu

Laura Lorenzoni
laura.lorenzoni@nasa.gov

Mai Maheigan
mmaheigan@whoi.edu

David Nicholson
dnicholson@whoi.edu

Kevin O'Brien
kevin.m.o'brien@noaa.gov

Ben Pfeil
benjamin.pfeil@uib.no

Al Plueddemann
aplueddemann@whoi.edu

James Potemra
jimp@hawaii.edu

Janne-Markus Rintala
janne-markus.rintala@icos-ri.eu

Wendi Ruef
wruef@uw.edu

Mark Schildhauer
schild@nceas.ucsb.edu

Adam Shepherd
ashepherd@whoi.edu

Jim Todd
james.todd@noaa.gov

Ian Walsh
iwalsh@seabird.com

Angelicque White
aewhite@hawaii.edu

Timothy Whiteaker
whiteaker@utexas.edu

Workshop organizing committee

Heather Benway, Mai Maheigan, Mary Zawoysky (Woods Hole Oceanographic Inst./OCB)

Justin Buck (National Oceanography Centre/British Oceanographic Data Centre)

Rod Johnson (Bermuda Inst. Ocean Sciences/Bermuda Atlantic Time series Study)

Danie Kinkade, Adam Shepherd (Woods Hole Oceanographic Inst./BCO-DMO)

Laura Lorenzoni (NASA, Univ. South Florida)

Mark Schildhauer (Univ. California, Santa Barbara, National Center for Ecological Analysis and Synthesis, NCEAS)

D. Sarah Stamps (Virginia Tech Univ./EarthCube liaison)

Angelicque White (Univ. Hawai'i, Hawaii Ocean Time series)

NSF liaisons

Hedy Edmonds (NSF Chemical Oceanography)

Mike Sieracki (NSF Biological Oceanography)

Relevant resources

Armstrong EM, et al (2019) An Integrated Data Analytics Platform. Front. Mar. Sci. 6:354. doi: 10.3389/fmars.2019.00354

Bailey K, et al (2019) Coastal Mooring Observing Networks and Their Data Products: Recommendations for the Next Decade. Front. Mar. Sci. 6:180. doi: 10.3389/fmars.2019.00180

Benway HM, et al (2019) Ocean Time Series Observations of Changing Marine Ecosystems: An Era of Integration, Synthesis, and Societal Applications. Front. Mar. Sci. 6:393. doi: 10.3389/fmars.2019.00393

Buck JJH, et al (2019) Ocean Data Product Integration Through Innovation-The Next Level of Data Interoperability. Front. Mar. Sci. 6:32. doi:10.3389/fmars.2019.00032

deYoung B, et al (2019) An Integrated All-Atlantic Ocean Observing System in 2030. Front. Mar. Sci. 6:428. doi: 10.3389/fmars.2019.00428

EarthCube Resources:

- EarthCube Resource Registry Presentation - https://drive.google.com/file/d/1dwIUliAurfFstWRSiY74UBoUSaJYlVvc/view

- Main GitHub Organization - https://github.com/earthcubearchitecture-ecresourcereg

Kaiser BA, et al (2019) The Importance of Connected Ocean Monitoring Knowledge Systems and Communities. Front. Mar. Sci. 6:309. doi: 10.3389/fmars.2019.00309

Pearlman J, et al (2019) Evolving and Sustaining Ocean Best Practices and Standards for the Next Decade. Front. Mar. Sci. 6:277. doi: 10.3389/fmars.2019.00277

Snowden D, et al (2019) Data Interoperability Between Elements of the Global Ocean Observing System. Front. Mar. Sci. 6:442. doi: 10.3389/fmars.2019.00442

Steinhoff T, et al (2019) Constraining the oceanic uptake and fluxes of greenhouse gases by building an ocean network of certified stations: the ocean component of the Integrated Carbon Observation System, ICOS-Oceans. Front. Mar. Sci. 6, doi: 10.3389/fmars.2019.00544

Tanhua T, et al (2019) Ocean FAIR Data Services. Front. Mar. Sci. 6:440. doi: 10.3389/fmars.2019.00440

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