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Skills-Thoughts
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Skills-Thoughts
Skills Thoughts
Need for Quality Skills Data
Issues with Skills
Introduction
Issues with Skills Nomenclature
Issues in Parsing Skills
Skills Landscape
Issues in Treating Skills as Discrete Entities
Aggregation and Approximation
Ownership of skills
Solution to the Issues with Skills
Introduction
IYS Skills Profile
IYS Skills Profiler
A common terminology of Skills
A framework for Skills Profile
Skills Proficiencies
Design of the Skills Organization
Constant Updation
Applications of Skills Profile
Skills Taxonomy Construct
Introduction to IYS Skills Taxonomy
Layer 1 - Unique Skills
Layer 2 - Master
Layer 3 - Association
Properties to Skills
Process for Constructing Areas
Skills Updation Process
IYS Skills Taxonomy JSON
IYS Skills Taxonomy JSON
Fields in JSON
Sample JSON Format
Sample Ancestor Format
Sample Format for Other Fields
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Introduction
Skills is a messy data type to handle. Added to this, the way skills have been used or have emerged, has increased the problems in handling them.
Skills are a messy data type to handle. Skills is intangible and confusing. Different people have different notions on skills. It is not non numerical, unlike say, money, height and weight. It is fuzzy and vague. It is difficult to measure. They are non discrete, in the sense that elements could have interrelationships.
In the subsequent sections we will get into some of the aspects related to skills and examine some of the issues that skills pose. Some are common problems like the nomenclature and some are less appreciated but having profound implications such as the issue with aggregation and approximation.
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Need for Quality Skills Data
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Issues with Skills Nomenclature
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