Dataset: Test Dataset
View Data: Data not available yet
Data Citation:
York, A. D., Newman, S., Heyl, T., Soenen, K. (2024) Test dataset created for testing and troubleshooting purposes. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-04-03 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/885287 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.
Spatial Extent: N:65 E:-30 S:60 W:-45
A really long description of where the data was collected or focused on.
Temporal Extent: 2020-01-01 - 2024-04-03
Project:
Principal Investigator:
Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Co-Principal Investigator:
Taylor Heyl (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Sawyer Newman (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Karen Soenen (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Student:
Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Contact:
Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
BCO-DMO Data Manager:
Dana Stuart Gerlach (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2024-04-03
Restricted:
No
Release Date:
2023-02-28
Validated:
No
Current State:
Data not available
Test dataset created for testing and troubleshooting purposes
Abstract:
Test dataset created for testing and troubleshooting purposes....
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.