Data Management and Reporting: BCO-DMO Data Management Services and Best Practices
MetadataShow full item record
Keyworddata management; data repository; UNOLS; data best practices; research cruise planning; NSF OCE
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.
Presented at Early Career Chief Scientist Training Workshop, Honolulu, HI, 13 June - 14 June 2019
Suggested CitationPresentation: Rauch, Shannon, Kinkade, Danie, Biddle, Matt, Copley, Nancy, York, Amber, Soenen, Karen, Shepherd, Adam, "Data Management and Reporting: BCO-DMO Data Management Services and Best Practices", Presented at Early Career Chief Scientist Training Workshop, Honolulu, HI, 13 June - 14 June 2019, DOI:10.1575/1912/24614, https://hdl.handle.net/1912/24614
The following license files are associated with this item:
Showing items related by title, author, creator and subject.
The fraction of water last ventilated in a given region regardless of the time elapsed since ventilation (in practice, younger than 4000 years) based on samples collected from R/V Knorr cruises KN199-04 and KN204-01 during 2010-2011 Smethie Jr., William M.; Holzer, Mark; Ting, Yu-Heng (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: email@example.com, 2020-05-27)Water mass fractions and ages calculated from hydrographic and tracer data using a maximum-entropy inversion technique. This dataset contains the fraction of water last ventilated in a given region regardless of the time ...
Intercomparison of XRF core scanning results from seven labs and approaches to practical calibration Dunlea, Ann G.; Murray, Richard W.; Tada, Ryuji; Alvarez-Zarikian, Carlos A.; Anderson, Chloe H.; Gilli, Adrian; Giosan, Liviu; Gorgas, Thomas; Hennekam, Rick; Irino, Tomohisa; Murayama, Masafumi; Peterson, Larry C.; Reichart, Gert-Jan; Seki, Arisa; Zheng, Hongbo; Ziegler, Martin (American Geophysical Union, 2020-09-09)X‐ray fluorescence (XRF) scanning of marine sediment has the potential to yield near‐continuous and high‐resolution records of elemental abundances, which are often interpreted as proxies for paleoceanographic processes ...
The Biodiversity Heritage Library : advancing metadata practices in a collaborative digital library Pilsk, Suzanne C.; Person, Matthew A.; deVeer, Joseph M.; Furfey, John F.; Kalfatovic, Martin R. (Taylor & Francis, 2010-04)The Biodiversity Heritage Library is an open access digital library of taxonomic literature, forming a single point of access to this collection for use by a worldwide audience of professional taxonomists, as well as ...