Posts Tagged: scoping phase

Data mining
Using data readiness levels to address challenges in data mining projects
October 11, 2017
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In a blog post from earlier this year, Neil Lawrence describes some challenges to data mining projects that are familiar to many working in the domain—our team definitely included! These challenges include the availability and quality of the data available for the project. Data scientists are often faced with very detailed expectations of budgets and timelines for a project but are provided with very little information at the outset regarding what data they will have to work with, making it difficult to determine whether a project’s outline is realistic. To begin addressing this problem, Lawrence lays out a very general taxonomy of “data readiness levels,” which provides useful language to help us identify and ultimately overcome these important challenges that currently hinder many data science projects.
Data mining Science policy
Data mining: The value of a scoping phase
August 16, 2017
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In previous posts in our data mining series, we laid out our initial technical framework for guiding data mining projects, then supplemented that with plug-ins to facilitate its use for R&I policy research specifically. These plug-ins helped to overcome the challenge of applying a generic framework to a specific thematic area. However, there was another […]