Data Science Research - Journals, Papers and Areas

 Data Science - Areas of Research

Top ten areas - MIT Press - 2020

https://hdsr.mitpress.mit.edu/pub/d9j96ne4/release/2

2020

https://www.analyticsinsight.net/top-10-research-challenge-areas-pursue-data-science/

Data Science - Journals

Journal of Management Analytics

Publish open access in this journal

Focuses on the theory of data analytics and its application in traditional business disciplines, such as accounting, finance, and supply chain management.

https://www.tandfonline.com/toc/tjma20/current

2021

Data Science Methodologies: Current Challenges and Future Approaches

I˜nigo Martineza,, Elisabeth Viles, Igor G Olaizolaa

Preprint submitted to Big Data Research - Elsevier

June 15, 2021

https://arxiv.org/pdf/2106.07287

Research questions:

• RQ1: What methodologies can be found on the literature to manage data science projects?

• RQ2: Are these available methodologies prepared to meet the demands of current challenges?

7. Development Workflows for Data Scientists 

Development Workflows for Data Scientists by Github and O’Reilly Media

8. Big Data Ideation, Assessment and Implementation

Big data ideation, assessment and implementation by Martin Vanauer

10. Agile Delivery Framework

Larson and Chang proposed a framework based on the synthesis of agile principles with Business Intelligence (BI), fast analytics and data science. There are two layers of strategic tasks: (A) the top layer includes BI delivery and (B) the bottom layer includes fast analytics and data science.

In this article the conceptual framework is presented for designing integral methodologies for the management of data science projects. The framework proposes  three foundation stones: project, team and data & information management.

The disciplinary research landscape of data science reflected in data science journals

Lingzi Hong , William Moen , Xinchen Yu , Jiangping Chen 

Information Discovery and Delivery (2020)

https://www.emerald.com/insight/content/doi/10.1108/IDD-06-2020-0071/full/html 

The research questions for the study are:

RQ1. What is the population of journals that focus on topics of data science?

RQ2. What disciplinary landscape of data science is reveal

Important - Table - Top keywords of disciplines