https://github.com/annakrystalli/dataspice-tutorial

Tutorial in practical research data management: creating simple metadata files using dataspice

https://github.com/annakrystalli/dataspice-tutorial

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data-management json-ld metadata r schema-org tutorial
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Tutorial in practical research data management: creating simple metadata files using dataspice

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data-management json-ld metadata r schema-org tutorial
Created over 7 years ago · Last pushed almost 7 years ago
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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


[![DOI](https://zenodo.org/badge/136082880.svg)](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 ![](http://data.neonscience.org/neon-data-theme/images/logo--blue-neon-data.png) ### *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 *** Creative Commons License
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

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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