Downloads provided by UsageCounts
The aim of the dataset package is to make tidy datasets easier to release, exchange and reuse. It organizes and formats data frame R objects into well-referenced, well-described, interoperable datasets into release and reuse ready form. We apply a subjective, R language compatible interpretation of the W3C Data Cube Vocabulary based on the statistical SDMX data cube model1. We enrich these statistical data exchange definition with similar definitions from information science and the exchange of scientific resources on open science repositories by applying the Dublin Core and DataCite metadata specifications for R attributes to improve the findability, accessibility, interoperability and reusability of the datasets. Read this document on the website of the dataset R package: https://dataset.dataobservatory.eu/articles/motivation.html
Metadata, Datacube, Dataset
Metadata, Datacube, Dataset
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 10 | |
| downloads | 2 |

Views provided by UsageCounts
Downloads provided by UsageCounts