[AISWorld] AMCIS 2022 Education in Data Management Mini Track

[Kline, Douglas]

Mini Track Title: Education in Data Management



Track: IS in Education, IS Curriculum, Education and Teaching Cases



Dear Colleagues:



We welcome papers for the mini track titled "Education in Data Management" for AMCIS 2022.



In this digital economy era, data is the lifeblood of an organization. As a result, data management is becoming a critical practice in utilizing data effectively, cost-efficiently, and securely. Good data management ultimately creates value and competitive advantages for an organization. Given the wide spectrum nature of data management, there is high demand for professionals with knowledge and technical skills in data-related areas, including database management, data engineering, data security, data governance, data analytics, business intelligence, etc. Many higher education institutions have been offering courses related to data management at the undergraduate and graduate level. However, paradigm shifts and new data technologies in the workplace have out-paced data management education. To address this issue, this track solicits novel curriculum or course development (design, planning, and implementation), pedagogy, case study, and business projects, in the education of data management and related areas.

Find complete details here<https://csbweb01.uncw.edu/people/klined/AMCISCall.html?source=AMCIS2>.


Potential topics include but are not limited to:



Data Engineering

Data Flows / Data Pipelines / Pipeline Architecture

Relational Database

NoSQL DB Models (e.g., Document DB, Graph DB, Key-Value, Column-stores, Wide-Table, Object Storage, Multi-Model)

Data Lakes

Hadoop Distributed File System

Distributed Relational Database

Management of Data in a Cloud Environment (e.g., Salesforce, MS Dynamics, SAP, Oracle PAAS)

Data Shaping / Preparation for Business Intelligence

Data Virtualization

Streaming Data / Internet-of-Things (IoT) Data

Data Security

Data Governance

Economic Models of Data: Valuation, Cost Management, Return on Investment

Data Analytics

Data Science

FinTech

Emerging Data Management tools / software

Important Dates:

March 1, 2022: Completed Research and ERF submissions are due at 5 p.m. EST

April 21, 2022: Workshop, Panel, TREO and PDS submissions are due at 5 p.m. EST


If you have any questions, feel free to contact any of the mini-track chairs below.



We look forward to your submissions!



Best regards,



Doug, Yao, and Paul



Mini Track Co-Chairs Information

Douglas M. Kline, Ph.D.

Progress Energy / Gordon Hurlburt Professor Information Systems Center for Data Management and Analytics Congdon School of Supply Chain, Business Analytics, and Information Systems Cameron School of Business University of North Carolina Wilmington klined at uncw.edu<mailto:klined at uncw.edu>



Yao Shi, Ph.D.

Assistant Professor of Information Systems Congdon School of Supply Chain, Business Analytics, and Information Systems Cameron School of Business University of North Carolina Wilmington shiy at uncw.edu<mailto:shiy at uncw.edu>



Xihui "Paul" Zhang, Ph.D.

Editor-in-Chief, Journal of Information Systems Education Professor, Computer Information Systems Department of Computer Science & Information Systems College of Business and Technology University of North Alabama xzhang6 at una.edu<mailto:xzhang6 at una.edu>