https://github.com/annakrystalli/dataspice-tutorial
Tutorial in practical research data management: creating simple metadata files using dataspice
Science Score: 36.0%
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Keywords
data-management
json-ld
metadata
r
schema-org
tutorial
Last synced: 5 months ago
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Tutorial in practical research data management: creating simple metadata files using dataspice
Basic Info
- Host: GitHub
- Owner: annakrystalli
- Language: HTML
- Default Branch: master
- Homepage: http://annakrystalli.me/dataspice-tutorial/
- Size: 18.9 MB
Statistics
- Stars: 12
- Watchers: 2
- Forks: 3
- Open Issues: 0
- Releases: 2
Topics
data-management
json-ld
metadata
r
schema-org
tutorial
Created over 7 years ago
· Last pushed almost 7 years ago
Metadata Files
Readme
README.Rmd
---
output: github_document
---
```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
```{r, echo=FALSE, message=FALSE}
library(tidyverse)
```
# dataspice-tutorial
[](https://zenodo.org/badge/latestdoi/136082880)
The goal of dataspice-tutorial is a practical exercise in creating metadata for an example field collected data product using package `dataspice`.
- Understand basic metadata and why it is important
- Understand where and how to store them
- Understand how they can feed into more complex metadata objects.
- ### [Tutorial](http://annakrystalli.me/dataspice-tutorial/)
- ### [Introductory slides](http://annakrystalli.me/dataspice-tutorial/slides.html)
***
## `dataspice`
Package [`dataspice`](https://github.com/ropenscilabs/dataspice) makes it easier for researchers to create basic, lightweight and concise metadata files for their datasets. Metadata fields are based on [schema.org](http://schema.org/Dataset)
## Data source : NEON data portal

### *Woody plant vegetation structure*
This data product contains the quality-controlled, native sampling resolution data from in-situ measurements of live and standing dead woody individuals and shrub groups, from all terrestrial NEON sites with qualifying woody vegetation. The **exact measurements collected per individual depend on growth form**, and these measurements are focused on:
- enabling biomass and productivity estimation,
- estimation of shrub volume and biomass
- calibration / validation of multiple NEON airborne remote-sensing data products.
In general, comparatively large individuals that are visible to remote-sensing instruments are mapped, tagged and measured, and other smaller individuals are tagged and measured but not mapped. Smaller individuals may be subsampled according to a nested subplot approach in order to standardize the per plot sampling effort.
Structure and mapping data are reported **per individual per plot**; sampling metadata, such as _per growth form sampling area (m2)_ or National Land Cover Database Vegetation Type Name (NLCD class) are reported **per plot**.
For additional details, see protocols:
- **[NEON.DP1.10098/NEON.DP1.10045](https://github.com/annakrystalli/dataspice-tutorial/blob/master/assets/methods/NEON_vegStructure_userGuide_vA.pdf): NEON User Guide to Woody Plant Vegetation Structure (NEON.DP1.10098) and Non- herbaceous Perennial Vegetation Structure (NEON.DP1.10045)**
- **[NEON.DOC.000987vG](https://github.com/annakrystalli/dataspice-tutorial/blob/master/assets/methods/NEON.DOC.000987vF.pdf): TOS Protocol and Procedure: Measurement of Vegetation Structure, and Science Design**
- **[NEON.DOC.000914](https://github.com/annakrystalli/dataspice-tutorial/blob/master/assets/methods/NEON.DOC.000914vA.pdf): TOS Science Design for Plant Biomass, Productivity and Leaf Area Index.**
***
### `dataspice` exercise data
The data are a trimmed subset of data downladed from the [**NEON data portal**](http://data.neonscience.org/browse-data) after filtering for:
- time periods between **`2015-06` - `2016-06`**
- locations within NEON Domain area **`D01: Northeast`**
Filter returned data from **2 sites** from **`2015-6`** to **`2015-11`**.
### vst_perplotperyear.csv
Plot level data
```{r, echo=FALSE, message=FALSE}
readr::read_csv(here::here("data", "vst_perplotperyear.csv")) %>% head(6) %>% knitr::kable()
```
### vst_mappingandtagging.csv
Individual level data
```{r, echo=FALSE, message=FALSE}
readr::read_csv(here::here("data", "vst_mappingandtagging.csv")) %>% head(6) %>% knitr::kable()
```
***
> ##### Citation
National Ecological Observatory Network. 2018. Data Products: DP1.10098.001. Provisional data downloaded from http://data.neonscience.org on 2018-05-04. Battelle, Boulder, CO, USA
***

dataspice tutorial is licensed under a Creative Commons Attribution 4.0 International License.
Owner
- Name: Anna Krystalli
- Login: annakrystalli
- Kind: user
- Location: Syros, Greece
- Company: @r-rse
- Website: https://www.r-rse.eu
- Twitter: annakrystalli
- Repositories: 240
- Profile: https://github.com/annakrystalli
Research Software Engineering Service in #rstats at @r-rse. Ex @RSE-Sheffield. Editor @ropensci. Core team member @reprohack. Available for hire! 🚀😎
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