Issue 4.3, Summer 2022

From the Editor-in-Chief

Building a More Robust Data Science, Toward a More Robust World

by David C. Parkes

Issue 4.3 / Summer 2022

Panorama

Overviews, Visions, and Debates

Promoting and Enabling Reproducible Data Science Through a Reproducibility Challenge

by Jing Liu, Jacob Carlson, Josh Pasek, Brian Puchala, Arvind Rao, and H. V. Jagadish

Special Theme: Changing the Culture on Data Management and Data Sharing in Biomedicine

Guest Editors: Christine Borgman, Maryann Martone, and Richard Nakamura

Changing the Culture on Data Management and Sharing: Getting Ready for the New NIH Data Sharing Policy

by Maryann E. Martone and Richard Nakamura

Changing the Culture on Data Management and Sharing: Overview and Highlights from a Workshop Held by the National Academies of Sciences, Engineering, and Medicine

by Maryann E. Martone and Richard Nakamura

Perspectives on Data Sharing and the New NIH Policy from the European Union

by Jan G. Bjaalie, Carole Goble, Susanna-Assunta Sansone, Richard Nakamura, and Maryann E. Martone

An interview with Jan G. Bjaalie, Carole Goble, and Susanna-Assunta Sansone by Richard Nakamura and Maryann Martone

A Conversation With Dr. Lawrence Tabak and Dr. Lyric Jorgenson on the NIH Perspective on Data Sharing and Management

by Lawrence Tabak, Lyric Jorgenson, Maryann E. Martone, and Richard Nakamura

An interview with Dr. Lawrence Tabak and Dr. Lyric Jorgenson by Maryann Martone and Richard Nakamura

Why It Takes a Village to Manage and Share Data

by Christine L. Borgman and Philip Bourne

Promoting Open Science Through Research Data Management

by John Borghi and Ana Van Gulick

Sharing Begins at Home: How Continuous and Ubiquitous FAIRness Can Enhance Research Productivity and Data Reuse

by William P Dempsey, Ian Foster, Scott Fraser, and Carl Kesselman

Recognizing Our Collective Responsibility in the Prioritization of Open Data Metrics

by Daniella Lowenberg

Legal Compliance and Good Data Stewardship in Data Sharing Plans

by Kristen B. Rosati

Harmonization-Information Trade-Offs for Sharing Individual Participant Data in Biomedicine

by Abel Torres-Espín and Adam Ferguson

Cornucopia

Impact, Innovation, and Knowledge Transfer

Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide

by Iavor Bojinov and Somit Gupta

Stepping Stones

Learning, Teaching, and Communication

From Unicorn Data Scientist to Key Roles in Data Science: Standardizing Roles

by Usama Fayyad and Hamit Hamutcu

Milestones and Millstones

Foundations, Theories, and Methods

The Importance of Being Ernest, Ekundayo, or Eswari: An Interpretable Machine Learning Approach to Name-Based Ethnicity Classification

by Vaishali Jain, Ted Enamorado, and Cynthia Rudin

Minding the Future

Building Pipelines for Data Science

Column Editor: Nicole Lazar

Bringing Complex Data Into the Classroom

by Pip Arnold, Anna Bargagliotti, Christine Franklin, and Robert Gould