Search
Now showing items 11-20 of 76
Best Practices for Quantification of Uncertainty and Sampling Quality in Molecular Simulations [Article v1.0].
(2019)
The quantitative assessment of uncertainty and sampling quality is essential in molecular
simulation. Many systems of interest are highly complex, often at the edge of current computational
capabilities. Modelers must ...
ISO 19115 Geographic information — Metadata — Biological Extensions Workbook: Guide to implementing ISO 19115:2003(E), the North American Profile (NAP), and ISO 19110 Feature Catalogue with Biological Extensions.
(NOAA National Coastal Data Development Center, Silver Spring, MD, 2012)
This workbook is not intended to replace the ISO standards but is meant to act as an educational and implementational guide to be used in conjunction with ISO 19115 Geographic information ─ Metadata ISO 19115:2003(E).
ISO 19115 Geographic information — Metadata Workbook: Guide to Implementing ISO 19115:2003(E), the North American Profile (NAP), and ISO 19110 Feature Catalogue.
(NOAA National Coastal Data Development Center, Silver Spring, MD, 2012)
This workbook is not intended to replace the ISO standards but is meant to act as an educational and implementational guide to be used in conjunction with ISO 19115 Geographic information ─ Metadata ISO 19115:2003(E).
Quantifying Uncertainty in Analytical Measurement, 3rd Edition.
(Eurachem/CITAC, Teddington, UK, 2012)
This Guide gives detailed guidance for the
evaluation and expression of uncertainty in
quantitative chemical analysis, based on the
approach taken in the ISO “Guide to the
Expression of Uncertainty in Measurement”
[H.2]. ...
Big Data and Data from Sensors.
(UK Environmental Observation Framework (UKEOF), Bailrigg, UK, 2017)
This paper aims to provide a broad
range of the UKEOF community and
partners with a brief and introductory
overview of the current state-of-play
of big data, including UKEOF partner
use cases in environmental ...
Data Citation and Publication for Researchers.
(UK Environmental Observation Framework (UKEOF), Bailrigg, UK, 2014)
Data are a fundamental part of the research process. Without them, it is impossible to
verify the results of published studies or reproduce the science. Yet modern datasets
are so large that it is not practical for the ...
Guide to data protection. [in UK]
(Information Commissioner's Office, London, UK, 2019)
This guide is for data protection officers and others who have day-to-day responsibility for dataprotection. It is aimed at small and medium-sized organisations, but it may be useful for largerorganisations too. If you are ...
The Singapore Statement on Research Integrity.
(2011)
The Singapore Statement on Research Integrity, drafted at the Second World Conference on
Research Integrity, which took place in Singapore from July 21 to 24, 2010, is an important
step toward promoting ethical conduct ...
Data Governance.
(UK Environmental Observation Framework (UKEOF), Bailrigg, UK, 2014)
Data is the lifeblood of any business and is a valued resource and an asset. Good data
governance means that all data has a designated owner (usually someone senior in
the organisation) to ensure it is managed and looked ...
Best practice in Ecopath with Ecosim food-web models for ecosystem-based management. [In: Special Edition: Ecopath 30 years - Modelling ecosystem dynamics: beyond boundaries with EwE]
(2016)
Ecopath with Ecosim (EwE) models are easier to construct and use compared to most other ecosystem
modelling techniques and are therefore more widely used by more scientists and managers. This, how-
ever, creates a problem ...