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Permanent link (DOI): https://doi.org/10.7939/R3HH6C72M

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Automating Metadata Creation: Enhanced Discovery and Description of Maternal Child Health Data Open Access

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Author or creator
Vashishtha, Saurabh
Harrigan, Amanda
Farnel, Sharon
Roark, Kendall
Additional contributors
Subject/Keyword
Metadata
Maternal infant child health research
Health research data
Research data
Application program interface (API)
Data reuse
Type of item
Conference/workshop Poster
Language
English
Place
Time
Description
This poster for the NADDI 2016 conference shows the processes we implemented to pre-populate parts of our DDI-compatible metadata schema with publicly and locally available information. We have developed in-house scripts to export and import the metadata from resources such as NCBI, clinicaltrials.gov, REDCap and Dataverse using APIs. Publicly unavailable data will also be accessed from research documents.
Date created
2016/04/07
DOI
doi:10.7939/R3HH6C72M
License information
Attribution-ShareAlike 4.0 International
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File Details

Date Uploaded
Date Modified
2016-04-11T17:51:19.956+00:00
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File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 212842
Last modified: 2016:04:11 11:51:25-06:00
Filename: NADDI Poster Presentation.pdf
Original checksum: bba4c3a63630fc68d9dbb8ab77b34418
Well formed: true
Valid: true
File author: Harrigan, Amanda
Page count: 1
File language: en-CA
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