Downloads provided by UsageCounts
Code: https://github.com/ropensci/ruODK Documentation: https://docs.ropensci.org/ruODK/ ruODK is an R client to access and parse data from ODK Central. OpenDataKit (ODK) is free-and open-source software that helps millions of people collect data quickly, accurately, offline, and at scale. The software is in active use in every country in the world and is supported by a large and helpful community. ruODK assumes some familiarity of its users with the ODK ecosystem and workflows. For a detailed overview, read the extensive ODK documentation and visit the friendly ODK forum. ODK Central is a cloud-based data clearinghouse for digitally captured data, replacing the older software ODK Aggregate. ODK Central manages user accounts and permissions, stores form definitions, and allows data collection clients like ODK Collect to connect to it for form download and submission upload. While this repository holds a snapshot of the package (both as source and binary), it is best practice to install the latest version of ruODK from GitHub by running `remotes::install_github('ropensci/ruODK@main', dependencies = TRUE, ask=FALSE, update=TRUE)`.
Find the latest release and installation instructions at https://github.com/ropensci/ruODK. The attached release here is for archival purposes only.
OpenDataKit, Electronic Data Capture, API, R, ODK Central
OpenDataKit, Electronic Data Capture, API, R, ODK Central
| 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). | 1 | |
| 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 | 59 | |
| downloads | 55 |

Views provided by UsageCounts
Downloads provided by UsageCounts