# example workflow from metabase to EML document
# put project script plus data files and other documents
# eg. abstract, methods in a folder with this script
# ----------------------
# common steps
library(MetaEgress)
# set workding directory to directory of current script
# data files + abstract (as in column DataSet.Abstract)
# plus methods (as in column DataSetMethodSteps.Description)
# should be in this folder
setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
# here is where you'd connect to LTER-core-metabase and query for metadata
# you can also use the example metadata list that comes with this package
# this list of dataframes has the same structure as output from the get_meta() function as below
metadata <- example_metadata_list
# connect to metabase and get metadata from specified datasets
# can specify multiple dataset IDs if you plan to reuse this list
# metadata <-
# get_meta(
# dbname = "db_name", # change to your DB name
# host = "localhost",
# port = 5432,
# dataset_ids = c(99013, 99021) # change to vector of datasets wanted
# )
# ------------------------
# data set specific steps
# create a list of entities
tables_99021 <- create_entity_all(meta_list = metadata,
file_dir = getwd(),
dataset_id = 99021)
# create EML list object
EML_99021 <-
create_EML(
meta_list = metadata,
entity_list = tables_99021,
dataset_id = 99021
)
# validate and serialize (write) EML document
EML::eml_validate(EML_99021)
EML::write_eml(EML_99021, file = "EML_99021.xml")
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