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  • 1
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    Leveraging the GeoLink Knowledge Base for Cruise Information (2017)
    Federation of Earth Science Information Partners
    Details
    Publication Date: 2022-05-25
    Description: Open Linked Data (LOD) is providing an excellent opportunity for repositories, libraries, and archives to expand the use of their holdings and advance the work of researchers. The implementation of the GeoLink Knowledgebase has created an exciting LOD framework for organizations specializing in Earth Sciences. As an NSF EarthCube Building Block, GeoLink brings together several powerful data sources, such as BCO-DMO, Rolling Deck to Repository (R2R), Data One, IEDA, IODP, and LTER, with publication providers such as the MBLWHOI Library’s Woods Hole Open Access Server (WHOAS), ESIP, and AGU. While publishing to the GeoLink knowledgebase offers a great way to make collections and metadata more findable and relevant, becoming a linked data publisher is not the only way to engage with linked data or the GeoLink project. Any repository can use simple, easily customizable code developed by members of the GeoLink team to add live GeoLink content to a page based on the item's metadata, leveraging GeoLink’s powerful framework for searching across repositories, organizations, and disciplines.
    Description: GeoLink was funded by the National Science Foundation, EAGER: Collaborative Research: Building Blocks, Leveraging Semantics and Linked Data for Geoscience Data Sharing and Discovery EarthCube Building Blocks: Collaborative Proposal: GeoLink – Leveraging Semantics and Linked Data for Data Sharing and Discovery in the Geoscience
    Keywords: Linked Open Data ; Institutional Repository ; DSpace ; DuraSpace ; Data Repository ; Open Source ; Geoscience
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
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  • 2
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    Towards Capturing Provenance of the Data Curation Process at Domain-specific Repositories (2019)
    Details
    Publication Date: 2022-05-25
    Description: Presented at AGU Fall Meeting, American Geophysical Union, Washington, D.C., 10 – 14 Dec 2018
    Description: Data repositories often transform submissions to improve understanding and reuse of data by researchers other than the original submitter. However, scientific workflows built by the data submitters often depend on the original data format. In some cases, this makes the repository’s final data product less useful to the submitter. As a result, these two workable but different versions of the data provide value to two disparate, non-interoperable research communities around what should be a single dataset. Data repositories could bridge these two communities by exposing provenance explaining the transform from original submission to final product. A subsequent benefit of this provenance would be the transparent value-add of domain repository data curation. To improve its data management process efficiency, the Biological and Chemical Oceanography Data Management Office (BCO-DMO, https://www.bco-dmo.org) has been adopting the data containerization specification defined by the Frictionless Data project (https://frictionlessdata.io). Recently, BCO-DMO has been using the Frictionless Data Package Pipelines Python library (https://github.com/frictionlessdata/datapackage-pipelines) to capture the data curation processing steps that transform original submissions to final data products. Because these processing steps are stored using a declarative language they can be converted to a structured provenance record using the Provenance Ontology (PROV-O, https://www.w3.org/TR/prov-o/). PROV-O abstracts the Frictionless Data elements of BCO-DMO’s workflow for capturing necessary curation provenance and enables interoperability with other external provenance sources and tools. Users who are familiar with PROV-O or the Frictionless Data Pipelines can use either record to reproduce the final data product in a machine-actionable way. While there may still be some curation steps that cannot be easily automated, this process is a step towards end-to-end reproducible transforms throughout the data curation process. In this presentation, BCO-DMO will demonstrate how Frictionless Data Package Pipelines can be used to capture data curation provenance from original submission to final data product exposing the concrete value-add of domain-specific repositories.
    Description: NSF #1435578
    Keywords: Provenance ; Frictionless Data ; Data management
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
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  • 3
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    In search of Frictionless Data (2017)
    Biological and Chemical Oceanography Data Management Office
    Details
    Publication Date: 2022-05-25
    Description: Presented at Research Data Alliance 10th Plenary Meeting, Montreal, Quebec, 19-21 September 2017
    Description: Funding provided by NSF OCE-1435578
    Keywords: Frictionless Data ; Data management ; Data exchange ; Distributed data ; Data tools
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
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  • 4
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    SeaView : bringing together an ocean of data (2018)
    The Oceanography Society
    Details
    Publication Date: 2022-05-25
    Description: Author Posting. © The Oceanography Society, 2018. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 31, no. 1 (2018): 71, doi:10.5670/oceanog.2018.111.
    Description: 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 to access data from the region of an OOI research array that is not from OOI assets, perhaps to look at longer term trends from before the launch of OOI, or to build a larger regional context? Despite the excellent work of ocean data repositories, finding, accessing, understanding, and reformatting data for use in a desired visualization or analysis tool remains challenging, especially when data are held in multiple repositories.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 5
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    Collaborative research : EarthCube building blocks, leveraging semantics and linked data for geoscience data sharing and discovery, OceanLink (2013)
    Details
    Publication Date: 2020-01-28
    Description: 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 including meeting abstracts and library holdings. Ships are a principal platform from which a wide spectrum of oceanographic data are collected. At the University of Maryland, Baltimore County, semantic relationships will be extracted from text for use in developing methods that efficiently identify relationships across distributed oceanographic datasets. At Wright State University integration of disparate data will occur by refining and applying leading edge technology from the Semantic Web, ontologies, and linked data. From the MBLWHOI Library, DSpace content will be published as Linked Open Data, providing relationships between oceanographic datasets, publications, conference presentations, and funded National Science Foundation projects. Teams of researchers at the Lamont-Doherty Earth Observatory and the Woods Hole Oceanographic Institution will develop Use Cases that represent the needs of the oceanographic research community and will publish oceanographic dataset catalogs as Linked Open Data. A key contribution will be semantically-enabled cyberinfrastructure components capable of automated data integration across distributed repositories. These efforts will ultimately lead to generalized computational techniques applicable to all of EarthCube.
    Keywords: Rolling Deck to Repository (R2R) ; Biological and Chemical Oceanography Data Management Office (BCO-DMO)
    Repository Name: Woods Hole Open Access Server
    Type: Moving Image
    Format: video/avi
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  • 6
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    Experiences of a “semantics smackdown” (2016)
    Details
    Publication Date: 2017-10-18
    Description: Author Posting. © The Author(s), 2016. This is the author's version of the work. It is posted here by permission of Springer for personal use, not for redistribution. The definitive version was published in Earth Science Informatics 9 (2016): 355-363, doi:10.1007/s12145-016-0252-8.
    Description: 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 European Union, United States, Australian-funded project “Ocean Data Interoperability Platform”, a workshop took place in June 2014 at Rensselaer Polytechnic Institute to further the use of these Semantic Web techniques with the aim of producing a set of Linked Data publication patterns which describe many parts of a marine science dataset. During the workshop, a Semantic Web development methodology was followed which promoted the use of a team with mixed skills (computer, data and marine science experts) to rapidly prototype a Linked Data publication pattern which could be iterated in the future. In this paper we outline the methodology employed in the workshop, and examine both the technical and sociological outcomes of a workshop of this kind.
    Description: The work described in this paper was funded in part through European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no 312492, and in part by supplemental funding from the National Science Foundation to the R2R program (NSF OCE 0947877, 0947822, 0947828, 0947784).
    Description: 2017-02-18
    Keywords: Oceanography ; Semantic Web ; Linked Data ; Development patterns ; Workshop methodology
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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  • 7
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    GeoLink Triple Store Data (2018)
    Details
    Publication Date: 2021-09-02
    Description: A growing collection of standard protocols, formats, and vocabularies, often characterized as the Semantic Web, offers a powerful approach for publishing research data online. The GeoLink project brings together experts from the geosciences, computer science, and library science in an effort to develop Semantic Web components that support discovery and reuse of data and knowledge. GeoLink's participating repositories include content from field expeditions, laboratory analyses, journal publications, conference presentations, theses/reports, and funding awards that span scientific studies from marine geology to marine ecosystems and biogeochemistry to paleoclimatology. One of the outcomes of this project is a network of Linked Data published by participating repositories using those ODPs, and tools to facilitate discovery of related content in multiple repositories. This item will be versioned periodically as the data is re-harvested and processed. The live dataset is currently available for query at http://data.geolink.org/sparql. A demo data application is available at http://demo.geolink.org/.
    Description: This work is sponsored by NSF-1440114 and the EarthCube program.
    Keywords: Linked Open Data ; GeoLink ; EarthCube
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 8
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    Biological and Chemical Oceanography Data Management Office: Supporting a New Vision for Adaptive Management of Oceanographic Data [poster] (2022)
    Woods Hole Oceanographic Institution
    Details
    Publication Date: 2022-10-21
    Description: Presented at 2022 OCB Summer Workshop, Woods Hole, MA, 20 - 23, June 2022
    Description: 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/
    Description: NSF #1924618
    Keywords: Data management
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
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  • 9
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    Code and Software: How would you share yours? [poster] (2020)
    Woods Hole Oceanographic Institution
    Details
    Publication Date: 2022-10-21
    Description: Presented at Ocean Sciences, San Diego, 16-21, February 2020
    Description: 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.
    Description: Award(s): NSF #1924618
    Keywords: Data management ; Open science ; Survey ; Research needs
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
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  • 10
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    Share Your Thoughts [poster] (2020)
    Woods Hole Oceanographic Institution
    Details
    Publication Date: 2022-10-21
    Description: Presented at Ocean Sciences, San Diego, 16-21, February 2020
    Description: 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.
    Description: Award(s): NSF #1924618
    Keywords: Data management ; Open science ; Survey ; Research needs
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
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