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  • Data management  (7)
  • 2020-2023  (7)
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  • 1
    Publikationsdatum: 2022-05-26
    Beschreibung: Presented at Data Curation Network, May 15, 2020
    Beschreibung: 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.
    Beschreibung: NSF #1924618
    Schlagwort(e): Data Curation ; Provenance ; Workflows ; Frictionless Data ; Data management ; Data repository
    Repository-Name: Woods Hole Open Access Server
    Materialart: Presentation
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    Publikationsdatum: 2022-05-26
    Beschreibung: Presented at USGS Data Management Working Group, 9, November 2020
    Beschreibung: 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.
    Beschreibung: NSF #1924618
    Schlagwort(e): Data Curation ; Provenance ; Workflows ; Frictionless Data ; Data management ; Data repository
    Repository-Name: Woods Hole Open Access Server
    Materialart: Presentation
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    Publikationsdatum: 2022-05-26
    Beschreibung: Presented at Ocean Sciences Meeting (OSM), San Diego, CA, 16 - 21 February 2020
    Beschreibung: 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.
    Beschreibung: Award(s): NSF #1924618
    Schlagwort(e): Data Curation ; Data management ; Data repository
    Repository-Name: Woods Hole Open Access Server
    Materialart: Presentation
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    Publikationsdatum: 2022-10-21
    Beschreibung: Presented at 2022 OCB Summer Workshop, Woods Hole, MA, 20 - 23, June 2022
    Beschreibung: 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/
    Beschreibung: NSF #1924618
    Schlagwort(e): Data management
    Repository-Name: Woods Hole Open Access Server
    Materialart: Presentation
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    Publikationsdatum: 2022-10-21
    Beschreibung: Presented at Ocean Sciences, San Diego, 16-21, February 2020
    Beschreibung: 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.
    Beschreibung: Award(s): NSF #1924618
    Schlagwort(e): Data management ; Open science ; Survey ; Research needs
    Repository-Name: Woods Hole Open Access Server
    Materialart: Presentation
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 6
    Publikationsdatum: 2022-10-21
    Beschreibung: Presented at Ocean Sciences, San Diego, 16-21, February 2020
    Beschreibung: 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.
    Beschreibung: Award(s): NSF #1924618
    Schlagwort(e): Data management ; Open science ; Survey ; Research needs
    Repository-Name: Woods Hole Open Access Server
    Materialart: Presentation
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 7
    Publikationsdatum: 2022-10-21
    Beschreibung: Presented at Fall AGU (ESIP Data Helpdesk), New Orleans, 11-17, December 2021
    Beschreibung: 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.
    Beschreibung: Award(s): NSF #1924618
    Schlagwort(e): Data management ; Open science ; Survey ; Research needs
    Repository-Name: Woods Hole Open Access Server
    Materialart: Presentation
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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