Task #848: modify R client to use system and science metadata for table parsing - DataONE R Client - DataONE Tasks

Task #848

Story #928: R Client needs to support multiple data formats

modify R client to use system and science metadata for table parsing

Added by Matthew Jones about 14 years ago. Updated about 10 years ago.

Status:

Closed

Priority:

High

Assignee:

Rob Nahf

Target version:

Start date:

2010-10-07

Due date:

% Done:

100%

Milestone:

None

Story Points:

Sprint:

Description

Right now, the R client assumes the data is a CSV file with a single header row. This assumption will frequently be untrue. Need to modify the client to support the following:

1) Parse the system metadata to examine the object format
2) Parse the science metadata to examine the physical structure of the dataset
-- for example, number of header rows, column names, etc.
3) Use info from 1 + 2 to choose an appropriate method and parameters for calling read.table

History

#1 Updated by Matthew Jones about 14 years ago

Target version deleted (~~CCI-0.6~~)
Milestone set to CCI-0.6
Parent task set to #928

#2 Updated by Dave Vieglais about 14 years ago

Start date set to 2010-10-07
Tracker changed from Bug to Task

#3 Updated by Rob Nahf almost 12 years ago

Milestone changed from CCI-0.6 to None
Assignee changed from Matthew Jones to Rob Nahf
Status changed from New to In Progress

built out the generic asDataFrame with a method in DataPackage that locates and uses the science metadata object to get table parsing instructions. Use the dataFormat in combination with DataTableDescriber abstract class to find the appropriate science metadata parser that will provide the parsing instructions.

Built an EML specific parser, based on EML 2.1.1, and with the assumption that the data table parsing elements can apply back to EML 2.0.

Need to split the EMLParser into it's own package