The Biological and Chemical Oceanography Data Management Office (BCO-DMO) staff members work with investigators to serve data online from research projects funded by the Biological and Chemical Oceanography Sections, the Division of Polar Programs Arctic Sciences and Antarctic Organisms & Ecosystems Program at the U.S. National Science Foundation.

BCO-DMO is a combination of the formerly independent Data Management Offices formed in support of the US JGOFS and US GLOBEC programs. The BCO-DMO staff members are the curators of the data collections created by those respective programs, as well as data from more recent NSF Geosciences Directorate (GEO) Division of Ocean Sciences (OCE) Biological and Chemical Oceanography Sections, Division of Polar Programs (PLR) Antarctic Sciences (ANT) Organisms & Ecosystems, and Arctic Sciences (ARC) awards. The BCO-DMO project is funded by NSF OCE and ANT programs, NSF award number OCE-1435578.

Data sets managed by BCO-DMO and hosted in WHOAS, can be found here.

Collections in this community

Recent Submissions

  • Towards capturing data curation provenance using Frictionless Data Package Pipelines [poster] 

    Shepherd, Adam; Schloer, Conrad; York, Amber; Kinkade, Danie (2018-10-10)
    At domain-specific data repositories, curation that strives for FAIR principles often entails transforming data submissions to improve understanding and reuse. The Biological and Chemical Oceanography Data Management ...
  • SeaView : bringing together an ocean of data 

    Stocks, Karen; Diggs, Stephen; Olson, Christopher; Pham, Anh; Arko, Robert A.; Shepherd, Adam; Kinkade, Danie (The Oceanography Society, 2018-02-09)
    The Ocean Observatories Initiative (OOI) supports a comprehensive information management system for data collected by OOI assets, providing access to a wealth of new information for scientists. But what of those wishing ...
  • Biological & Chemical Oceanography Data Management Office : a domain-specific repository for oceanographic data from around the world [poster] 

    Ake, Hannah; Biddle, Matt; Copley, Nancy; Kinkade, Danie; Rauch, Shannon; Saito, Mak A.; Shepherd, Adam; Switzer, Megan; Wiebe, Peter; York, Amber (2018-02-14)
    The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a domain-specific digital data repository that works with investigators funded under the National Science Foundation’s Division of Ocean Sciences ...
  • The Frictionless Data Package : data containerization for addressing big data challenges [poster] 

    Shepherd, Adam; Fils, Douglas; Kinkade, Danie; Saito, Mak A. (2018-02-15)
    At the Biological and Chemical Oceanography Data Management Office (BCO-DMO) Big Data challenges have been steadily increasing. The sizes of data submissions have grown as instrumentation improves. Complex data types can ...
  • The advantages of machine aided co-reference resolution for research cruise metadata 

    Shepherd, Adam; Chandler, Cynthia L.; Arko, Robert A.; Fils, Douglas; Kinkade, Danie (2017-05-31)
    One of the central incentives of deploying linked open data is the opportunity to leverage the linkages between source datasets to retrieve related information. The Biological and Chemical Oceanography Data Management ...
  • The Frictionless Data Package : data containerization for automated scientific workflows [poster] 

    Shepherd, Adam; Fils, Douglas; Kinkade, Danie; Saito, Mak A. (2017-12-13)
    As cross-disciplinary geoscience research increasingly relies on machines to discover and access data, one of the critical questions facing data repositories is how data and supporting materials should be packaged for ...
  • Using peer review to support development of community resources for research data management 

    Soyka, Heather; Budden, Amber; Hutchison, Viv; Bloom, David; Duckles, Jonah; Hodge, Amy; Mayernik, Matthew; Poisot, Timothée; Rauch, Shannon; Steinhart, Gail; Wasser, Leah; Whitmire, Amanda; Wright, Stephanie (University of Massachusetts Medical School, 2017-09-08)
    To ensure that resources designed to teach skills and best practices for scientific research data sharing and management are useful, the maintainers of those materials need to evaluate and update them to ensure their ...
  • In search of Frictionless Data 

    Shepherd, Adam (Biological and Chemical Oceanography Data Management Office, 2017-09-21)
  • Toward a new data standard for combined marine biological and environmental datasets - expanding OBIS beyond species occurrences 

    De Pooter, Daphnis; Appeltans, Ward; Bailly, Nicolas; Bristol, Sky; Deneudt, Klaas; Eliezer, Menashè; Fujioka, Ei; Giorgetti, Alessandra; Goldstein, Philip; Lewis, Mirtha; Lipizer, Marina; Mackay, Kevin; Marin, Maria; Moncoiffe, Gwenaelle; Nikolopoulou, Stamatina; Provoost, Pieter; Rauch, Shannon; Roubicek, Andres; Torres, Carlos; van de Putte, Anton; Vandepitte, Leen; Vanhoorne, Bart; Vinci, Matteo; Wambiji, Nina; Watts, David; Salas, Eduardo Klein; Hernandez, Francisco (Pensoft, 2017-01-09)
    The Ocean Biogeographic Information System (OBIS) is the world’s most comprehensive online, open-access database of marine species distributions. OBIS grows with millions of new species observations every year. Contributions ...
  • Experiences of a “semantics smackdown” 

    Leadbetter, Adam; Shepherd, Adam; Arko, Robert A.; Chandler, Cynthia L.; Chen, Yanning; Dockery, Nkemdirim; Ferreira, Renata; Fu, Linyun; Thomas, Robert; West, Patrick; Zednik, Stephan (2016-02)
    Within the field of ocean science there is a long history of using controlled vocabularies and other Semantic Web techniques to provide a common and easily exchanged description of datasets. As an activity within the ...
  • Data management strategy to improve global use of ocean acidification data and information 

    Garcia, Hernan E.; Cosca, Catherine E.; Kozyr, Alex; Mayorga, Emilio; Chandler, Cynthia L.; Thomas, Robert W.; O’Brien, Kevin; Appeltans, Ward; Hankin, Steve; Newton, Jan A.; Gutierrez, Angelica; Gattuso, Jean-Pierre; Hansson, Lina; Zweng, Melissa; Pfeil, Benjamin (The Oceanography Society, 2015-06)
    Ocean acidification (OA) refers to the general decrease in pH of the global ocean as a result of absorbing anthropogenic CO2 emitted in the atmosphere since preindustrial times (Sabine et al., 2004). There is, however, ...
  • Bringing dark data into the light : a case study of the recovery of Northwestern Atlantic zooplankton data collected in the 1970s and 1980s 

    Wiebe, Peter H.; Allison, M. Dickson (Elsevier, 2015-04-06)
    Data generated as a result of publicly funded research in the USA and other countries are now required to be available in public data repositories. However, many scientific data over the past 50+ years were collected at a ...
  • Collaborative research : EarthCube building blocks, leveraging semantics and linked data for geoscience data sharing and discovery, OceanLink 

    Wiebe, Peter H.; Chandler, Cynthia L.; Raymond, Lisa; Shepherd, Adam; Finin, Tim; Narock, Tom; Arko, Robert A.; Carbotte, Suzanne M.; Hitzler, Pascal; Cheatham, Michelle; Krisnadhi, Adila (2013-10-28)
    The OceanLink EarthCube project will apply state-of-the-art Semantic Web Technologies to support data representation, discovery, analysis, sharing, and integration of datasets from the global oceans, and related resources ...