scholarly journals How can BCO-DMO help with your oceanographic data?

2021 ◽  
Author(s):  
Karen Soenen ◽  
Dana Gerlach ◽  
Christina Haskins ◽  
Taylor Heyl ◽  
Danie Kinkade ◽  
...  
Keyword(s):  
National Science Foundation ◽  
Management Practices ◽  
Full Range ◽  
Marine Ecosystem ◽  
Funding Sources ◽  
Data Life Cycle ◽  
National Science ◽  
Oceanographic Data ◽  
Project Data

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.

scholarly journals Keep calm and fill in your DMP: Lessons Learnt from a Swiss DMP-template initiative

2018 ◽  
Vol 13 (1) ◽  
pp. 215-222 ◽  
Author(s):  
Lorenza Salvatori ◽  
Ana Sesartic ◽  
Nathalie Lambeng ◽  
Eliane Blumer
Keyword(s):  
National Science Foundation ◽  
Life Cycle Management ◽  
Management Plan ◽  
National Data ◽  
Swiss National Science Foundation ◽  
Horizon 2020 ◽  
Data Life Cycle ◽  
Institutes Of Technology ◽  
National Science ◽  
École Polytechnique

Aligning with other funders such as Horizon 2020, the Swiss National Science Foundation (SNSF) requires researcherswho apply for project funding to provide a Data Management Plan (DMP) as an integral part of their research proposal.In an attempt to assist and guide researchers filling out this document, and to provide a service as efficient as possible, the libraries of the Ecole Polytechnique Fédérale de Lausanne (EPFL) and ETH Zurich took the lead to elaborate on a DMP template with content suggestions and recommendations. In this practice paper, we will describe the collaborative effort between the two Swiss federal institutes of technology, namely EPFL and ETH Zurich, as well as some partners of the national Data Life Cycle Management (DLCM) project, which resulted in a very helpful document as reported by our researchers.

scholarly journals Implications for Nutrition Research from the National Academies’ Report Reproducibility and Replicability in Science (P13-039-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
David Allison
Keyword(s):  
National Science Foundation ◽  
Review Process ◽  
Research Community ◽  
Research Methodologies ◽  
Factors Affecting ◽  
Engineering Research ◽  
Funding Sources ◽  
Nutrition Research ◽  
National Science ◽  
Evidence Gathering

Abstract Objectives To present the findings, conclusions, and recommendations of the National Academies report Reproducibility and Replicability in Science, as relevant to the nutrition research community, and to engage in a discussion of implications for nutrition research. Methods The report was developed by a committee of individuals with expertise in research methodologies across a range to disciplines and fields, including nutrition research. The committee was charged with assessing what is known about the extent of the issues of replication and reproducibility (R&R) in scientific and engineering research. To inform the development of the report, the committee held several evidence-gathering sessions and reviewed published literature. Results Reproducibility and Replicability in Science will be published in spring 2019, after undergoing the National Academies’ rigorous review process. The report will include (1) definitions of “reproducibility” and “replication,” (2) an assessment of what is known about the extent of R&R in scientific and engineering research, (3) consideration of whether a lack of R&R impacts the health or the public's perception of research, (4) a review of approaches to improve R&R, (5) examination of factors affecting R&R, (6) consideration of R&R across a range of research methodologies, and (7) conclusions and recommendations for improving R&R and highlighting examples of good practices. Conclusions Conclusions remain confidential until the report has cleared the National Academies report review process. The report will include conclusions and recommendations for improving R&R, with relevance for nutrition research. Funding Sources This study was supported by the U.S. National Science Foundation and the Alfred P. Sloan Foundation.

Recommendations for In Situ and Remote Sensing Capabilities in Atmospheric Convection and Turbulence

2018 ◽  
Vol 99 (12) ◽  
pp. 2463-2470 ◽  
Author(s):  
Bart Geerts ◽  
David J. Raymond ◽  
Vanda Grubišić ◽  
Christopher A. Davis ◽  
Mary C. Barth ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Boundary Layer ◽  
National Science Foundation ◽  
Shallow Convection ◽  
Boundary Layer Flows ◽  
Stable Boundary Layers ◽  
Remote Sensors ◽  
National Science ◽  
New Facilities

AbstractRecommendations are presented for in situ and remote sensing instruments and capabilities needed to advance the study of convection and turbulence in the atmosphere. These recommendations emerged from a community workshop held on 22–24 May 2017 at the National Center for Atmospheric Research and sponsored by the National Science Foundation. Four areas of research were distinguished at this workshop: i) boundary layer flows, including convective and stable boundary layers over heterogeneous land use and terrain conditions; ii) dynamics and thermodynamics of convection, including deep and shallow convection and continental and maritime convection; iii) turbulence above the boundary layer in clouds and in clear air, terrain driven and elsewhere; and iv) cloud microphysical and chemical processes in convection, including cloud electricity and lightning.The recommendations presented herein address a series of facilities and capabilities, ranging from existing ones that continue to fulfill science needs and thus should be retained and/or incrementally improved, to urgently needed new facilities, to desired capabilities for which no adequate solutions are as yet on the horizon. A common thread among all recommendations is the need for more highly resolved sampling, both in space and in time. Significant progress is anticipated, especially through the improved availability of airborne and ground-based remote sensors to the National Science Foundation (NSF)-supported community.

The Accounting Doctoral Shortage: Time for a New Model

2009 ◽  
Vol 24 (4) ◽  
pp. 427-432 ◽  
Author(s):  
Jerry E. Trapnell ◽  
Neal Mero ◽  
Jan R. Williams ◽  
George W. Krull
Keyword(s):  
Doctoral Students ◽  
National Science Foundation ◽  
Doctoral Programs ◽  
Academic Community ◽  
Faculty Members ◽  
Funding Sources ◽  
Research Outcomes ◽  
National Science ◽  
Faculty Time ◽  
Made In

ABSTRACT: The crisis in supply versus demand for doctorally qualified faculty members in accounting is well documented (Association to Advance Collegiate Schools of Business [AACSB] 2003a, 2003b; Plumlee et al. 2005; Leslie 2008). Little progress has been made in addressing this serious challenge facing the accounting academic community and the accounting profession. Faculty time, institutional incentives, the doctoral model itself, and research diversity are noted as major challenges to making progress on this issue. The authors propose six recommendations, including a new, extramurally funded research program aimed at supporting doctoral students that functions similar to research programs supported by such organizations as the National Science Foundation and other science-based funding sources. The goal is to create capacity, improve structures for doctoral programs, and provide incentives to enhance doctoral enrollments. This should lead to an increased supply of graduates while also enhancing and supporting broad-based research outcomes across the accounting landscape, including auditing and tax.

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