Learning Data Ethics for Open Data Sharing Main Menu About This Project Introduction to Data Ethics What Constitutes as Sensitive Data? Effects of Good/Bad Data Ethics Introduction to Data Sharing What Could You Share? Journal and Funder Mandates FAIR Data Sharing Restricted Access in FAIR Sharing What Goes Into a Data Repository Record? Introduction to Data Curation Curation Workflows and Checklists IRB Applications and Data Management Plans Informed Consent Data Use Agreements Risk Assessment and De-identification Machine Learning and Big Data Research

Table of Contents

40180 About This Project

Introduction

Open access sharing efforts is increasingly supported in libraries. Support for responsible research ethics by an integrity office on campus is a known resource; however, with the increasing need for data sharing in the scholarly landscape, knowledge about the overlap in data ethics for sharing often falls in the gaps of research support knowledge. Learning opportunities related to data for information science professionals often focus on data literacy topics like data management, data science, and open access; however, instruction is sporadic on the ethics of protecting sensitive data with the intention of sharing. Responsible data sharing is vital to building a positive academic and public community around the availability of shared data.

"Learning Data Ethics for Open Data Sharing" will explain how data ethics applies to data sharing, describing what data ethics is (including what constitutes as sensitive data) and the effects of good/bad data ethics in openly shared data; showing examples of final deposited data records in open data repositories; and showing model checklists and workflows behind data curation and risk assessment that can occur in preparation for open data sharing.

This OER consolidates many excellent resources to explore for further instructional details; summarizes many key concepts brought up in data ethics and data sharing conversations; and provides learning activities that engage, rather than statically tell, students about research ethics, sensitive data, and open data.

Topics in this OER

  1. Data Ethics
  2. Data Sharing
  3. Data Curation in regards to Data Ethics

Learning objectives

  1. Users can illustrate how data ethics is portrayed in openly shared data repositories;
  2. Users can plan out how data ethics could be approached in regards to data curation;
  3. Users can reframe how openly shared data could have included better attention to data ethics.

This page has paths:

  1. Learning Data Ethics for Open Data Sharing Lynnee Argabright

Contents of this path:

  1. Introduction to Data Ethics
  2. What Constitutes as Sensitive Data?
  3. Effects of Good/Bad Data Ethics
  4. Introduction to Data Sharing
  5. What Could You Share?
  6. Journal and Funder Mandates
  7. FAIR Data Sharing
  8. Restricted Access in FAIR Sharing
  9. What Goes Into a Data Repository Record?
  10. Introduction to Data Curation
  11. Curation Workflows and Checklists
  12. IRB Applications and Data Management Plans
  13. Informed Consent
  14. Data Use Agreements
  15. Risk Assessment and De-identification
  16. Machine Learning and Big Data Research