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https://vocabularyserver.com/web/files/original/f4d877cc9208d8180e8db44355fa8b24.pdf
5d3d519515c64f1d397df27f9b6738b5
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles and reports
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Pfaff, Claas-Thido
König-Ries, Birgitta
Lang, Anne C
Ratcliffe, Sophia
Wirth, Christian
Man, Xingxing
Nadrowski, Karin
Date
A point or period of time associated with an event in the lifecycle of the resource
2015
Description
An account of the resource
We are witnessing a growing gap separating primary research data from derived data products presented as knowledge in publications. Although journals today more often require the underlying data products used to derive the results as a prerequisite for a publication, the important link to the primary data is lost. However, documenting the postprocessing steps of data linking, the primary data with derived data products has the potential to increase the accuracy and the reproducibility of scientific findings significantly. Here, we introduce the rBEFdata R package as companion to the collaborative data management plat- form BEFdata. The R package provides programmatic access to features of the platform. It allows to search for data and integrates the search with external thesauri to improve the data discovery. It allows to download and import data and metadata into R for analysis. A batched download is available as well which works along a paper proposal mechanism implemented by BEFdata. This fea- ture of BEFdata allows to group primary data and metadata and streamlines discussions and collaborations revolving around a certain research idea. The upload functionality of the R package in combination with the paper proposal mechanism of the portal allows to attach derived data products and scripts directly from R, thus addressing major aspects of documenting data postpro- cessing. We present the core features of the rBEFdata R package along an eco- logical analysis example and further discuss the potential of postprocessing documentation for data, linking primary data with derived data products and knowledge
Language
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English
Publisher
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Ecology and Evolution 2015; 5(14): 2890–2897
Source
A related resource from which the described resource is derived
https://pubmed.ncbi.nlm.nih.gov/26306174/
Subject
The topic of the resource
METADATA
TERMINOLOGICAL WEB SERVICES
INTEROPERABILITY
Title
A name given to the resource
rBEFdata: documenting data exchange and analysis for a collaborative data management platform
Type
The nature or genre of the resource
Reports and Academic works
Biodiversity ecosystem functioning
data postprocessing
data sharing
ecological metadata language
metadata
open science
open source
paper proposals
R
reproducible science
semantic integration
workflow