The professional work of data and records creation occurs within a specific context that is bounded by a number of factors. These factors contribute to the shape, form, and other aspects of the data. This discussion will talk about translating and reading co-created data from a particular community of practice, and then turn to a broader conversation about evaluating the context of records.
Postdoctoral Research Fellow at DataONE
Santa Barbara, CA 93101
The Data Observation Network for Earth (DataONE) is an NSF-supported DataNet project which is developing a distributed framework and sustainable cyberinfrastructure to meet the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data. Now in its seventh year of funding, DataONE has released a number of tools, services and programs that support users in their data management, discovery, preservation and education needs. This overview will provide a brief history of DataONE, its guiding principles and showcase the tools and services available to the community. I will also summarize the education and outreach activities of the project and the opportunities for community participation.
Director for Community Engagement and Outreach
UPDATE: Here are the links Lauren mentioned in her talk.
Provenance/Workflow dataset: http://search.test.dataone.org/#view/urn:uuid:bf71c38b-22b2-469e-8983-734ec0ab19cb
Download Morpho: https://knb.ecoinformatics.org/#tools/morpho
R DataONE library: https://releases.dataone.org/online/dataone_r/
We have a great tech roundtable on May 27!
Lauren Walker, a programmer based at NCEAS, will be leading an informal demonstration of the KNB: Knowledge Network for Biocomplexity, an international data repository and DataONE member node. She will demonstrate how to submit a dataset to the KNB via an online tool and through the DataONE R client.
She will also give a demonstration of the DataONE online search interface, which queries all 24 DataONE member nodes, using the same web software as KNB. This will include a preview of the upcoming scientific data provenance features in DataONE.
Lauren will open the roundtable up for feedback, suggestions, and to hear what you would find most useful with these kinds of tools.