Monthly Archives: July 2019

Publishing an article in CODATA Data Science Journal

This article was first published by Ms. Neema Mduma https://neylicious.github.io/ml/2019/05/11/paper.html – Neema is an alumni of the CODATA-RDA School of Research Data Science.

In early 2017, I was privileged to work as a researcher in the Dropwall project (by Rose Funja) which was among the winning project of the Data for Local Impact Innovation Challenge (DLIIC). The main focus of the project was to develop a tool that will help fighting dropout among secondary school girls. The findings from this project show a high rate of dropout among secondary school students particularly girls, and coincide with reports from other studies which show that school dropout is a big challenge in developing countries. On addressing this problem, machine learning techniques has gained much attention in recent years. However, most of the work has been carried out in developed countries, there are only a handful of studies conducted in developing countries on school dropout using machine learning techniques with the consideration of local context and data imbalance problem. This motivated me to continue working (in my PhD) on school dropout using machine learning.

In August 2018, I attended a CODATA-RDA Research Data Science Summer School which was held at the Abdus Salam International Centre of Theoretical Physics (ICTP) in Trieste, Italy. The aim was on building competence in data analysis and security for participants from all disciplines and backgrounds from Sciences to Humanities. The level of engagements and interactions between participants and instructors was outstanding. We were introduced to various opportunities (by The Executive Director of CODATA, Dr. Simon Hodson) such as CODATA Data Science Journal where I later managed to publish the breathtaking findings from the Dropwall project titled A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction.

June 2019: Publications in the Data Science Journal

June 2019:  Publications in the Data Science Journal

Title: Developing a Model Guidelines Addressing Legal Impediments to Open Access to Publicly Funded Research Data in Malaysia
Author
: Haswira Nor Mohamad Hashim
URL: 
http://doi.org/10.5334/dsj-2019-027
Title: Proposed Guideline for Minimum Information Stroke Research and Clinical Data Reporting
Author:Judit Kumuthini, Lyndon Zass, Melek Chaouch, Michael Thompson, Paul Olowoyo, Mamana Mbiyavanga, Faniyan Moyinoluwalogo, Gordon Wells, Victornia Nembeware, Nicola J. Mulder, Mayowa Owolabi,
URL: http://doi.org/10.5334/dsj-2019-026
Title: A Column Styled Composable Schema Matcher for Semantic Data-Types
Author:  Xiaofeng Liao, Jordy Bottelier, Zhiming Zhao
URL: http://doi.org/10.5334/dsj-2019-025
Title: Importance and Incorporation of User Feedback in Earth Science Data Stewardship
Author
: Hampapuram Ramapriyan, Jeanne Behnke
URL: 
http://doi.org/10.5334/dsj-2019-024
Title: Establishing, Developing, and Sustaining a Community of Data Champions
Author
: James L. Savage, Lauren Cadwallader
URL: 
http://doi.org/10.5334/dsj-2019-023
Title: The Definition of Reuse
Author
: Stephanie van de Sandt, Sünje Dallmeier-Tiessen, Artemis Lavasa, Vivien Petras
URL: 
http://doi.org/10.5334/dsj-2019-022
Title: Geoscientists’ Perspectives on Cyberinfrastructure Needs: A Collection of User Scenarios
Author
: Karen I. Stocks, Sam Schramski, Arika Virapongse, Lisa Kempler
URL: 
http://doi.org/10.5334/dsj-2019-021
Title: Data Distribution Centre Support for the IPCC Sixth Assessment
Author
: Martina Stockhause, Martin Juckes, Robert Chen, Wilfran Moufouma Okia, Anna Pirani, Tim Waterfield, Xiaoshi Xing, Rorie Edmunds
URL: 
http://doi.org/10.5334/dsj-2019-020