Soenen Karen

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Soenen
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Karen
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Now showing 1 - 17 of 17
  • Presentation
    Share Your Thoughts [poster]
    (Woods Hole Oceanographic Institution, 2020-02-21) Haskins, Christina ; Biddle, Matt ; Copley, Nancy J. ; Rauch, Shannon ; Soenen, Karen ; York, Amber ; Kinkade, Danie ; Saito, Mak A. ; Shepherd, Adam ; Wiebe, Peter
    Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine biological, chemical, physical, and biogeochemical data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. Based upon community feedback, this infrastructure is undergoing evaluation and improvement to better meet oceanographic research needs. This poster will introduce the repository and describe some of the strategic enhancements coming to BCO-DMO, and presents an opportunity for you to provide feedback on enhancements yet to come. We invite you to think about your own research workflow of searching and accessing new data for research, and to provide your feedback through the poster’s interactive sections. Your input can help BCO-DMO improve its service to the research community.
  • Presentation
    The Biological and Chemical Oceanography Data Management Office: Accelerating Scientific Discovery Through Responsive Management of Observational Oceanographic Data [poster]
    (Woods Hole Oceanographic Institution, 2019-09-16) Kinkade, Danie ; Shepherd, Adam ; Biddle, Matt ; Copley, Nancy ; Haskins, Christina ; Soenen, Karen ; Rauch, Shannon ; York, Amber ; Saito, Mak A. ; Wiebe, Peter
    Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine biological, chemical, physical, and biogeochemical data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. This poster will introduce the repository and describe some of the strategic enhancements coming to BCO-DMO.
  • Presentation
    Capturing Provenance of Data Curation at BCO-DMO
    (Woods Hole Oceanographic Institution, 2020-05-15) Shepherd, Adam ; York, Amber ; Schloer, Conrad ; Kinkade, Danie ; Rauch, Shannon ; Biddle, Matt ; Copley, Nancy ; Haskins, Christina ; Soenen, Karen ; Saito, Mak A. ; Wiebe, Peter
    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 Office (BCO-DMO, https://www.bco-dmo.org) has been adopting the data containerization specification of the Frictionless Data project (https://frictionlessdata.io) in an effort to improve its data curation process efficiency. In doing so, BCO-DMO has been using the Frictionless Data Package Pipelines library (https://github.com/frictionlessdata/datapackage-pipelines) to define the processing steps that transform original submissions to final data products. Because these pipelines are defined using a declarative language they can be serialized into formal provenance data structures using the Provenance Ontology (PROV-O, https://www.w3.org/TR/prov-o/). While there may still be some curation steps that cannot be easily automated, this method is a step towards reproducible transforms that bridge the original data submission to its published state in machine-actionable ways that benefit the research community through transparency in the data curation process. BCO-DMO has built a user interface on top of these modular tools for making it easer for data managers to process submission, reuse existing workflows, and make transparent the added value of domain-specific data curation.
  • Presentation
    Capturing Provenance of Data Curation at BCO-DMO
    (Woods Hole Oceanographic Institution, 2020-11-09) Shepherd, Adam ; York, Amber ; Schloer, Conrad ; Kinkade, Danie ; Rauch, Shannon ; Copley, Nancy ; Gerlach, Dana ; Haskins, Christina ; Soenen, Karen ; Saito, Mak A. ; Wiebe, Peter
    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 Office (BCO-DMO, https://www.bco-dmo.org) has been adopting the data containerization specification of the Frictionless Data project (https://frictionlessdata.io) in an effort to improve its data curation process efficiency. In doing so, BCO-DMO has been using the Frictionless Data Package Pipelines library (https://github.com/frictionlessdata/datapackage-pipelines) to define the processing steps that transform original submissions to final data products. Because these pipelines are defined using a declarative language they can be serialized into formal provenance data structures using the Provenance Ontology (PROV-O, https://www.w3.org/TR/prov-o/). While there may still be some curation steps that cannot be easily automated, this method is a step towards reproducible transforms that bridge the original data submission to its published state in machine-actionable ways that benefit the research community through transparency in the data curation process. BCO-DMO has built a user interface on top of these modular tools for making it easier for data managers to process submission, reuse existing workflows, and make transparent the added value of domain-specific data curation.
  • Presentation
    Making OCB Data F.A.I.R [poster]
    ( 2019-06-24) Soenen, Karen ; Biddle, Matt ; Copley, Nancy ; Haskins, Christina ; Rauch, Shannon ; York, Amber ; Kinkade, Danie ; Saito, Mak A. ; Shepherd, Adam ; Wiebe, Peter
    Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine ecosystem data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. This poster describes some of the existing infrastructure and strategic enhancements at BCO-DMO in support of the F.A.I.R principles.
  • Dataset
    Community feedback collected between June 2019 and February 2020 on how researchers search and access new data for research as well as feedback on potential enhancements to help improve BCO-DMO’s service to the research community.
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2020-10-06) Haskins, Christina ; Soenen, Karen ; Biddle, Mathew ; Copley, Nancy ; Rauch, Shannon ; York, Amber D. ; Kinkade, Danie ; Shepherd, Adam ; Saito, Mak A. ; Wiebe, Peter H.
    Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine biological, chemical, physical, and biogeochemical data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. Based upon community feedback, this infrastructure is undergoing evaluation and improvement to better meet oceanographic research needs. This poster will introduce the repository and describe some of the strategic enhancements coming to BCO-DMO, and presents an opportunity for you to provide feedback on enhancements yet to come. We invite you to think about your own research workflow of searching and accessing new data for research, and to provide your feedback through the poster’s interactive sections. Your input can help BCO-DMO improve its service to the research community. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/825238
  • Presentation
    Biological and Chemical Oceanography Data Management Office: Supporting a New Vision for Adaptive Management of Oceanographic Data [poster]
    (Woods Hole Oceanographic Institution, 2022-06-21) Shepherd, Adam ; Gerlach, Dana ; Heyl, Taylor ; Kinkade, Danie ; Nagala, Shravani ; Newman, Sawyer ; Rauch, Shannon ; Saito, Mak A. ; Schloer, Conrad ; Soenen, Karen ; Wiebe, Peter ; York, Amber
    An unparalleled data catalog of well-documented, interoperable oceanographic data and information, openly accessible to all end-users through an intuitive web-based interface for the purposes of advancing marine research, education, and policy. Conference Website: https://web.whoi.edu/ocb-workshop/
  • Presentation
    Data Management in (Ocean) Sciences – Interactive Class
    (Woods Hole Oceanographic Institution, 2020-02-26) Soenen, Karen ; Harden, Benjamin E.
    Ocean 101, engaging classes to help SEA students understand the frontiers of ocean climate science. This particular class focuses on data management in oceanography. Covered topics are the importance of open data, the data life cycle and F.A.I.R. Principles. The interactive part consists of creating the content for a data management plan and applying general data management practices.
  • Presentation
    Data Help Desk BCO-DMO Lightning Talk
    (Woods Hole Oceanographic Institution, 2020-02-18) Biddle, Matt ; Shepherd, Adam ; Kinkade, Danie ; Haskins, Christina ; Soenen, Karen ; Rauch, Shannon ; Copley, Nancy ; York, Amber ; Schloer, Conrad ; Saito, Mak A. ; Wiebe, Peter
    BCO-DMO is the Biological and Chemical Oceanography Data Management Office. We help oceanography researchers who are funded by the National Science Foundation’s (NSF's) Division of Ocean Sciences' (OCE) Biological or Chemical Oceanography Sections or the Division of Polar Programs' Antarctic Organisms & Ecosystems Program manage their data, making them accessible over the internet. This lightning talk gives a brief overview of who we are, who we work with, and the types of data we manage.
  • Presentation
    Share Your Thoughts [poster]
    (Woods Hole Oceanographic Institution, 2019-06-24) Soenen, Karen ; Biddle, Matt ; Copley, Nancy ; Haskins, Christina ; Rauch, Shannon ; York, Amber ; Kinkade, Danie ; Saito, Mak A. ; Shepherd, Adam ; Wiebe, Peter
    Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine ecosystem data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. Based upon community feedback, this infrastructure is undergoing evaluation and improvement to better meet oceanographic research needs. This poster presents an opportunity for you to provide feedback on enhancements yet to come. We invite you to think about your own research workflow of searching and accessing new data for research, and to provide your feedback through the poster’s interactive sections. Your input will help BCO-DMO improve its service to the research community.
  • Presentation
    Data Management and Reporting: BCO-DMO Data Management Services and Best Practices
    (Woods Hole Oceanographic Institution, 2019-06-14) Rauch, Shannon ; Kinkade, Danie ; Biddle, Matt ; Copley, Nancy ; York, Amber ; Soenen, Karen ; Shepherd, Adam
    The University-National Oceanographic Laboratory System (UNOLS) hosted an Early Career Chief Scientist Training Workshop in June 2019. The goal of this workshop was to help early-career marine scientists plan and write effective cruise proposals, develop collaborative sampling strategies and plans, become familiar with shipboard equipment and sampling at sea, and communicate major findings through writing of manuscripts and cruise reports. This presentation provides information on data management and reporting best practices for chief scientists. It includes information on: National Science Foundation (NSF) data policy requirements, writing a Data Management Plan (DMP), the data lifecycle, data publication, and shipboard data management recommendations.
  • Presentation
    Code and Software: How would you share yours? [poster]
    (Woods Hole Oceanographic Institution, 2020-02-21) Biddle, Matt ; Copley, Nancy ; Haskins, Christina ; Rauch, Shannon ; Soenen, Karen ; York, Amber ; Kinkade, Danie ; Saito, Mak A. ; Shepherd, Adam ; Wiebe, Peter
    BCO-DMO curates earth science data where models become increasingly important. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. Recently, more and more of the projects submitted to BCO-DMO represent modeling efforts which further increase our knowledge of chemical and biological properties within the ocean ecosystem. We feel the time is at hand for the scientific community to begin a concerted and holistic approach to the curation of code and software.
  • Presentation
    How can BCO-DMO help with your oceanographic data?
    (Woods Hole Oceanographic Institution, 2021-12-10) Soenen, Karen ; Gerlach, Dana ; Haskins, Christina ; Heyl, Taylor ; Kinkade, Danie ; Newman, Sawyer ; Rauch, Shannon ; Saito, Mak A. ; Shepherd, Adam ; Wiebe, Peter ; York, Amber D.
    BCO-DMO curates a database of research-ready data spanning the full range of marine ecosystem related measurements including in-situ and remotely sensed observations, experimental and model results, and synthesis products. We work closely with investigators to publish data and information from research projects supported by the National Science Foundation (NSF), as well as those supported by state, private, and other funding sources. BCO-DMO supports all phases of the data life cycle and ensures open access of well-curated project data and information. We employ F.A.I.R. Principles that comprise a set of values intended to guide data producers and publishers in establishing good data management practices that will enable effective reuse.
  • Presentation
    Share Your Thoughts [poster]
    (Woods Hole Oceanographic Institution, 2019-09-16) Kinkade, Danie ; Shepherd, Adam ; Biddle, Matt ; Copley, Nancy ; Haskins, Christina ; Schloer, Conrad ; Soenen, Karen ; Rauch, Shannon ; York, Amber ; Saito, Mak A. ; Wiebe, Peter
    Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine biological, chemical, physical, and biogeochemical data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. Based upon community feedback, this infrastructure is undergoing evaluation and improvement to better meet oceanographic research needs. This poster will introduce the repository and describe some of the strategic enhancements coming to BCO-DMO, and presents an opportunity for you to provide feedback on enhancements yet to come. We invite you to think about your own research workflow of searching and accessing new data for research, and to provide your feedback through the poster’s interactive sections. Your input can help BCO-DMO improve its service to the research community.
  • Presentation
    Frictionless Data Processing in the Wild
    ( 2019-05-08) York, Amber ; Schloer, Conrad ; Copley, Nancy ; Biddle, Matt ; Rauch, Shannon ; Haskins, Christina ; Soenen, Karen ; Shepherd, Adam ; Kinkade, Danie
    Frictionless Data (FD) initiatives out of the Open Knowledge Foundation provide attractive informatics and processing capabilities. The BCO-DMO data repository used FD tools on real-world datasets, and we have some lessons learned to share. By building upon existing FD tools, we found ways to reduce the amount of time data managers spend generating metadata, and writing custom scripts. We are also developing ways for data managers with varying levels of scripting ability to make use of Frictionless Data tools.
  • Presentation
    Data Management and Reporting: BCO-DMO Data Management Services & Best Practices
    (Woods Hole Oceanographic Institution, 2024-08-20) Rauch, Shannon ; Kinkade, Danie ; Soenen, Karen ; Gerlach, Dana ; Merchant, Lynne M. ; Newman, Sawyer ; York, Amber ; Schloer, Conrad ; Shepherd, Adam
    BCO-DMO curates a database of research-ready data spanning the full range of marine ecosystem related measurements including in-situ and remotely sensed observations, experimental and model results, and synthesis products. We work closely with investigators to publish data and information from research projects in accordance with F.A.I.R. (Findable, Accessible, Interoperable, Reuseable) data principles.
  • Presentation
    Fitting square pegs into a round hole. Curating heterogeneous oceanographic data at BCO-DMO
    (Woods Hole Oceanographic Institution, 2024-02-22) Soenen, Karen ; Kinkade, Danie ; Shepherd, Adam ; Saito, Mak A. ; Gerlach, Dana ; Merchant, Lynne M. ; Newman, Sawyer ; Rauch, Shannon ; York, Amber D.
    BCO-DMO is a domain-specific repository containing 18 years of curated, heterogeneous oceanographic data. Data managers are at the core of the repository, applying the F.A.I.R. principles to every dataset coming in. This talk steers the audience through such a curated dataset, covering the advancements and challenges that comes with domain curation.