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Brief descriptions of Purdue Data ownership policies
Data Governance Part 2_ Data Ownership
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Brief description of procedures required at Purdue University and direction to where to find data governance policies
Data Goverrnance Part 5: Procedures
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Brief description of data retention policies and the data retention policies of various funding agences.
Data Governance Part 4_Data Retention
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A brief description of policies and procedures that promote data protection
Data Governance Part 3_Data Protection
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Common trends in data ownership and Purdue specific policies governing data ownership
Data Governance Part2_Data Ownership
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Covers concepts, vocabulary and roles for individuals according to Purdue's data governance policies and procedures.
Data Governance Part 1_What Is Data Governance
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Created for TECH 102, September 2021
Introduction to Digital Literacy
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Sandy Caldrone, Purdue University Research Repository introduces the features of the repository.
Purdue University Research Repository Introduction
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Welcome; course instructors; syllabus highlights
Fall 2020 Data Management at the Bench Course…
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Identify why copyright applies only in certain cases to data sets and data use agreements and data licenses apply more generally to data sets as a whole.
Intellectual Property Rights: Data vs. Data Sets
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Based upon Tim Berners-Lee's 5 Star Data, this video describes the different levels of openness that data can have when researchers apply different technologies and…
Levels of Data Openness
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Techniques and technologies needed to create a dataset that is findable, accessible, interoperable, and reusable. Documentation; file formats; metadata; data…
How to Create FAIR Data
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Findable, Accessible, Interoperable, and Reusable data for Machines and Humans through the FAIR data movement
FAIR Principles
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Discussion of transformation of human readable Excel spreadsheets into machine readable flat files; file structure; data documentation; code books; annotation of missing…
Details of Data Wrangling.mp4
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Introductory topics in data wrangling including critical thinking about data contents; dealing with missing data; knowing the features of statistical data software and…
Data Wrangling: An Introduction
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