Patch a dataset on RIDL

Usage

ridl_dataset_patch(
  dataset,
  title = NULL,
  name = NULL,
  owner_org = NULL,
  notes = NULL,
  keywords = NULL,
  visibility = NULL,
  archived = NULL,
  external_access_level = NULL,
  unit_of_measurement = NULL,
  data_collector = NULL,
  data_collection_technique = NULL,
  date_range_start = NULL,
  date_range_end = NULL,
  short_title = NULL,
  tag_string = NULL,
  url = NULL,
  private = NULL,
  data_sensitivity = NULL,
  original_id = NULL,
  sampling_procedure = NULL,
  operational_purpose_of_data = NULL,
  hxlated = NULL,
  process_status = NULL,
  identifiability = NULL,
  geog_coverage = NULL,
  linked_datasets = NULL,
  admin_notes = NULL,
  sampling_procedure_notes = NULL,
  response_rate_notes = NULL,
  data_collection_notes = NULL,
  weight_notes = NULL,
  clean_ops_notes = NULL,
  data_accs_notes = NULL,
  ddi = NULL,
  kobo_asset_id = NULL,
  configuration = NULL
)

rd_patch(
  dataset,
  title = NULL,
  name = NULL,
  owner_org = NULL,
  notes = NULL,
  keywords = NULL,
  visibility = NULL,
  archived = NULL,
  external_access_level = NULL,
  unit_of_measurement = NULL,
  data_collector = NULL,
  data_collection_technique = NULL,
  date_range_start = NULL,
  date_range_end = NULL,
  short_title = NULL,
  tag_string = NULL,
  url = NULL,
  private = NULL,
  data_sensitivity = NULL,
  original_id = NULL,
  sampling_procedure = NULL,
  operational_purpose_of_data = NULL,
  hxlated = NULL,
  process_status = NULL,
  identifiability = NULL,
  geog_coverage = NULL,
  linked_datasets = NULL,
  admin_notes = NULL,
  sampling_procedure_notes = NULL,
  response_rate_notes = NULL,
  data_collection_notes = NULL,
  weight_notes = NULL,
  clean_ops_notes = NULL,
  data_accs_notes = NULL,
  ddi = NULL,
  kobo_asset_id = NULL,
  configuration = NULL
)

Arguments

dataset: RIDLDataset, the dataset to upload
title: character, Title(*) - Make sure to include: 'Survey name/title', 'Location', 'Country', and 'Year(s)' in the order indicated.
name: character, URL(*) - The canonical name of the dataset, eg. my-dataset.
owner_org: character, Data container(*) - Use the canonical name for the container.
notes: character, Description(*) - Some useful notes about the data. Please include the number of observations.
keywords: character, Topic classifications(*) - Tags useful for searching for the datasets. Multiple values are allowed.
visibility: character, Internal Access Level(*). Allowed values: restricted (Private), public (Internally Visible).
archived: logical, Archived(*) - Allows users to indicate if the dataset is archived or active. Allowed values: False (No), True (Yes).
external_access_level: character, External access level(*). Allowed values: not_available (Not available), direct_access (Direct access), public_use (Public use), licensed_use (Licensed use), data_enclave (Data enclave), open_access (Open access).
unit_of_measurement: character, Unit of measurement(*) - Unit of measurement / observation for the dataset.
data_collector: character, Data Collector(*) - Which organization owns / collected the data. Multiple values are allowed.
data_collection_technique: character, Data collection technique(*). Allowed values: nf (Not specified), f2f (Face-to-face interview), capi (Face-to-face interview: Computerised), cami (Face-to-face interview: Mobile), papi (Face-to-face interview: Paper-and-pencil), tri (Telephone interview), eri (E-mail interview), wri (Web-based interview: audio-visual technology enabling the interviewer(s) and interviewee(s) to communicate in real time), easi (Self-administered questionnaire: E-mail), pasi (Self-administered questionnaire: Paper), sasi (Self-administered questionnaire: SMS/MMS), casi (Self-administered questionnaire: Computer-assisted), cawi (Self-administered questionnaire: Web-based), foc (Face-to-face focus group), tfoc (Telephone focus group), obs (Observation), oth (Other).
date_range_start: Date, Date collection first date - Use dd/mm/yyyy format.
date_range_end: Date, Date collection last date - Use dd/mm/yyyy format.
short_title: character, Short title - eg. Short title for the project.
tag_string: character, Tags - eg. economy, mental health, government.
url: character, Project URL - Website URL associated with this data project (if applicable).
private: character, Visibility (Private/Public).
data_sensitivity: character, Data sensitivity - Apply to both Anonymized and Personally identifiable data. Allowed values: yes (Yes), no (No).
original_id: character, Original ID - If the dataset already has an ID from the source org, DDI, etc...
sampling_procedure: character, Sampling Procedure. Multiple values are allowed. Allowed values: total_universe_complete_enumeration (Total universe/Complete enumeration), probability_simple_random (Probability: Simple random), probability_systematic_random (Probability: Systematic random), probability_stratified (Probability: Stratified), probability_stratified_proportional (Probability: Stratified: Proportional), probability_stratified_disproportional (Probability: Stratified: Disproportional), probability_cluster (Probability: Cluster), probability_cluster_simple_random (Probability: Cluster: Simple random ), probability_cluster_stratified_random (Probability: Cluster: Stratified random), probability_multistage (Probability: Multistage), nonprobability (Non-probability), nonprobability_availability (Non-probability: Availability), nonprobability_purposive (Non-probability: Purposive), nonprobability_quota (Non-probability: Quota), nonprobability_respondentassisted (Non-probability: Respondent-assisted), mixed_probability_nonprobability (Mixed probability and non-probability), other_other (Use if the sampling procedure is known, but not found in the list..).
operational_purpose_of_data: character, Operational purpose of data - Classification of the type of data contained in the file. Multiple values are allowed. Allowed values: participatory_assessments (Participatory assessments), baseline_household_survey (Baseline Household Survey), rapid_needs_assessment (Rapid Needs Assessment), protection_monitoring (Protection Monitoring), programme_monitoring (Programme monitoring), population_data (Population Data), cartography (Cartography, Infrastructure & GIS).
hxlated: logical, Dataset with resources having HXL tags
process_status: character, Dataset Process Status. Allowed values: raw (Raw-Uncleaned), cleaned (Cleaned Only), anonymized (Cleaned & Anonymized).
identifiability: character, Identifiability. Allowd values: personally_identifiable (Personally identifiable), anonymized_enclave (Anonymized 1st level: Data Enclave - only removed direct identifiers), anonymized_scientific (Anonymized 2st level: Scientific Use File (SUF)), anonymized_public (Anonymized 3rd level: Public Use File (PUF)).
geog_coverage: character, Geographic Coverage - eg. National coverage, or name of the area, etc.
linked_datasets: character, Linked Datasets - Links to other RIDL datasets. It supports multiple selections.
admin_notes: character, Admin Notes - General. You can use Markdown formatting here.
sampling_procedure_notes: character, Admin Notes - Sampling Procedure. You can use Markdown formatting here.
response_rate_notes: character, Admin Notes - Response Rate. You can use Markdown formatting here.
data_collection_notes: character, Admin Notes - Data Collection. You can use Markdown formatting here.
weight_notes: character, Admin Notes - Weighting. You can use Markdown formatting here.
clean_ops_notes: character, Admin Notes - Cleaning. You can use Markdown formatting here.
data_accs_notes: character, Admin Notes - Access authority. You can use Markdown formatting here.
ddi: DDI.
kobo_asset_id: character, the KoBoToolbox asset id.
configuration: RIDLConfig, the RIDL configuration