Package index • wddsWizard

Data

Examples of WDDS conforming data and other useful objects

becker_disease_data: Becker et al. dataset

becker_project_metadata: Becker et al. project metadata

disease_data_required_fields: Required fields in the disease data object

minimal_disease_data: An example of minimal disease data

minimal_project_metadata: An example of minimal project metadata

project_metadata_required_fields: Required fields in the project metadata object

schema_required_fields: Wildlife Disease Data Standard required fields

spdx_licenses: Data frame of SPDX licenses

wdds_to_dcmi_map: WDDS to DCMI metadata mapping

wdds_to_pharos_map: WDDS to PHAROS metadata mapping

Templates

Create data that conforms to the standard from pre-structured files

list_wdds_templates(): File paths for wdds templates

use_wdds_template(): Use a wildlife disease data standard template

WDDS Deposit

Interact with the Zenodo Deposit

batch_download_deposit_versions(): Batch download deposit versions

download_deposit_version(): Download deposit version

list_deposit_versions(): List Versions of a deposit on Zenodo

sanitize_version(): Sanitize version ids

set_wdds_version(): Set the wdds version for the package

wdds_data_templates(): Provides Access to Versioned Data Template Files

wdds_example_data(): Provides Access to Versioned Example Data Files

wdds_json(): Provides Access to Versioned Schema Files

JSON Prep

Prepare R objects for proper JSON formatting

clean_field_names(): Clean Field Names

get_entity(): Get entity

prep_affiliation(): prep affiliation

prep_array(): Prep array

prep_array_objects(): Prepare an array of objects

prep_atomic(): Prepare atomic

prep_creators(): Prepare creators

prep_data(): Prepare Data

prep_descriptions(): Prepare descriptions

prep_for_json(): Prepare data for json

prep_from_metadata_template(): Prepare metadata created from the metadata template for conversion to JSON

prep_fundingReferences(): Prepare funding references

prep_identifier(): Prep identifier

prep_language(): Prep language

prep_methodology(): Prep methodology for conversion to json

prep_methods(): Prepare methods

prep_nameIdentifiers(): Prepare Name identifiers

prep_object(): Prepare an object

prep_publicationYear(): Prepare publication year items

prep_relatedIdentifiers(): Prepare related identifiers

prep_rights(): Prepare rights

prep_subjects(): Prepare subjects

prep_titles(): Prepare Titles

Schema

Access and manipulate a JSON Schema

datacite_schema: Datacite Data Stadnard

disease_data_schema: Wildlife Disease Data Standard - data

project_metadata_schema: Wildlife Disease Data Standard - project_metadata

schema_obj: Schema Object

schema_properties: Wildlife Disease Data Standard - schema properties

schema_terms: Wildlife Disease Data Standard - schema terms

wdds_schema: Wildlife Disease Data Standard

Schema Docs

Create documentation from Schema

create_object_docs(): Create Docs Section for a schema object

create_schema_docs(): Create Documentation for a schema

get_ref(): Get schema references

get_required_fields(): Get the required fields

increase_docs_depth(): Increase documentation depth

paste_reduce(): Paste Reduce

paste_reduce_ul(): Paste Reduce unordered list item

Project Metadata

Create or extract project metadata

download_oa_item(): Rate limited download of OA items

expand_tidy_dfs(): Expand tidy dataframes to project metadata template format

extract_metadata_from_doi(): Extract Project Metadata from DOI

extract_metadata_oa(): Extract Metadata from Open Alex record

generate_metadata_csv(): Generate minimal project metadata template

generate_repeat_dfs(): generate_repeat_dfs

make_simple_df(): A convenience function for making non-repeating items

Standards Mapping

Mapping WDDS to other data standards

na_to_blank(): Convert NA's to blanks

translate_to_dcmi(): translate to dcmi

wdds_to_dcmi(): WDDS to the Dublin Core Metadata Initiative

wdds_to_pharos(): Convert WDDS disease data to PHAROS data