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Award Abstract # 1924618
BCO-DMO: Accelerating Scientific Discovery through Adaptive Data Management

NSF Org: OCE
Division Of Ocean Sciences
Recipient: WOODS HOLE OCEANOGRAPHIC INSTITUTION
Initial Amendment Date: July 8, 2019
Latest Amendment Date: July 20, 2023
Award Number: 1924618
Award Instrument: Continuing Grant
Program Manager: Cynthia Suchman
csuchman@nsf.gov
 (703)292-2092
OCE
 Division Of Ocean Sciences
GEO
 Directorate for Geosciences
Start Date: September 1, 2019
End Date: August 31, 2025 (Estimated)
Total Intended Award Amount: $11,580,954.00
Total Awarded Amount to Date: $11,580,954.00
Funds Obligated to Date: FY 2019 = $2,071,898.00
FY 2020 = $4,393,864.00

FY 2021 = $3,775,235.00

FY 2022 = $1,189,957.00

FY 2023 = $150,000.00
History of Investigator:
  • Mak Saito (Principal Investigator)
    msaito@whoi.edu
  • Peter Wiebe (Co-Principal Investigator)
  • Danie Kinkade (Co-Principal Investigator)
  • Adam Shepherd (Co-Principal Investigator)
Recipient Sponsored Research Office: Woods Hole Oceanographic Institution
266 WOODS HOLE RD
WOODS HOLE
MA  US  02543-1535
(508)289-3542
Sponsor Congressional District: 09
Primary Place of Performance: Woods Hole Oceanographic Institution
266 Woods Hole Road
Woods Hole
MA  US  02543-1535
Primary Place of Performance
Congressional District:
09
Unique Entity Identifier (UEI): GFKFBWG2TV98
Parent UEI:
NSF Program(s): ANT Instrum & Facilities,
BIOLOGICAL OCEANOGRAPHY,
Chemical Oceanography,
ANT Organisms & Ecosystems,
OCE-Ocean Sciences Research
Primary Program Source: 01001920DB NSF RESEARCH & RELATED ACTIVIT
01002021DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT

0100CYXXDB NSF RESEARCH & RELATED ACTIVIT

0100XXXXDB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT

0100XXXXDB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1382, 1389, 1650, 1670, 4444, 5111, 8242, 8811
Program Element Code(s): 164700, 165000, 167000, 511100, 689900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050, 47.078

ABSTRACT

Scientific research is intrinsically reliant upon the creation, management, analysis, synthesis, and interpretation of data. Once generated, data are essential to demonstrating the veracity and reproducibility of scientific results, and existing data hold great potential to accelerate scientific discovery through reuse. The Biological and Chemical Oceanography and Data Management Office (BCO-DMO) was created in 2006 to assemble, curate, and publicly serve all data and related products resulting from grants funded by the NSF core programs for Biological and Chemical Oceanography, and Office of Polar Programs. BCO-DMO provides limnological and marine chemical, biological, and physical data inventories from several large and intermediate-sized programs, as well as single-investigator projects to support cross-disciplinary collaboration to address pressing environmental questions, problems, and challenges that are exacerbated with the increasing pace of climate change. BCO-DMO is committed to data management capacity building efforts, improving data literacy and increasing science engagement in data management topics through education, training, and outreach. The project collaborates with academic institutions and teachers, where the BCO-DMO database is leveraged for oceanographic curricula, and engages in targeted training of informatics students, cross-pollinating their knowledge with geoscience domain data management.


BCO-DMO's goal is to facilitate the integration of its diverse datasets to enable researchers to achieve a deeper understanding of ocean ecological and biogeochemical systems. As a domain repository, BCO-DMO adds value and improves interoperability of data to support activities such as synthesis and modeling, and the reuse of oceanographic data for new research. Open access to the BCO-DMO database lowers barriers to allow economically challenged countries to gain access to research quality data for field decision support, policy-relevant issues, and educational purposes. The project takes an active role in the exchange of knowledge at national and international geoscience and informatics meetings and workshops, where standards development and adoption occur. BCO-DMO also participates in the development and use of open-source, standards-based technologies that enable interoperable data systems to exchange data and information that will foster next-generation research in all disciplines. While continuing to perform its core mission of data management, BCO-DMO will reconstitute its data infrastructure to mobilize a new adaptive data management strategy for addressing the evolutionary change coinciding with the big data revolution. Leveraging data semantics BCO-DMO will construct a knowledge graph for sustainably operating an adaptive data repository. This infrastructure will support dataset-level and repository-level metrics, an improved data submission experience and new data and metadata access capabilities. Through declarative workflows, the processing of contributed data will increase in efficiency, and result in actionable provenance records for complete transparency of data curation practices. Taking a holistic perspective on education, outreach and community engagement, formalized programs will be developed to promote data reuse and interest in oceanographic science.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Kinkade, Danie and Shepherd, Adam "Geoscience data publication: Practices and perspectives on enabling the FAIR guiding principles" Geoscience Data Journal , v.9 , 2021 https://doi.org/10.1002/gdj3.120 Citation Details
Soenen, K and Gerlach, D and Kinkade, D and Merchant, L and Newman, S and Rauch, S and Saito, M and Schloer, C and Shepherd, A and York, A "Fitting Round Pegs into a Square Hole: Curating Heterogeneous Oceanographic Data at BCO-DMO" , 2024 Citation Details

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