Asset Integration Cycle Overview

The Asset Integration Service provides an interface for a Consumer Application, such as LMS, HRIS, and so forth to perform metadata harvesting. It provides the ability to load the launchable learning objects into the database.

The Web service provides the ability to scope the metadata in the following ways:

Full catalog - Used primarily for the initial import of assets
Delta of outstanding assets - Used to update the changes form what already exists, also known as the deltas

The Asset Integration Service provides the ability to scope the metadata, and the platform allows the consumer application to select the following formats:

CSV
XML
SCORM
AICC

Due to the limitations of data provided in AICC and SCORM and the formatting of fields in CSV, Skillsoft recommends using the XML as it is based on the Dublin Core metadata harvesting data model.

The following table shows fields that are available through the web service:

Field	Description
identifier	This is the primary key to the resource. Use this code to for reference in all related web service calls.
title	This is the title of the resource
description	This is the description of the resource.
type	This describes the content type. Values are from the Dublin Core data model.
language	This a value based on a combination of language and country codes. Referencing ISO 639-1 Code and ISO 3166-1
publisher	This is the entity responsible for making the resource available.
rights	This contains information about rights held in and over the resource.
isbn	International Standard Book Number
creator	The entity primarily responsible for creating the resource.
assettype	The nature or genre of the resource, from the Dublin Core Metadata Initiative (DMCI) type vocabulary.
audience	A class of entity for whom the resource is intended or useful.
duration	The approximate length of the resource.
prerequisites	Recommended skills required to enter resource.
lesson	Course outline
launchurl	URL where you can access the asset
launchType	Which API the respective launch URL is listening

Basic Flow

Call AI_InitiateAssetMetaData //one call to open the transaction

If Error [Outstanding request]

Set the Request ID to outstanding Request ID

Set the request ID per the response

Wait a few minutes

Call AI_PollForAssetMetaData, to verify the request is complete compiling

If Error [Not Complete], Repeat Wait then poll

Process Metadata

Call AI_AcknowledgeAssetMetaData, this will close the outstanding request