The National Data Workshop 2019 will be held on 2 – 4 July 2019 at the CSIR International Convention Centre in Pretoria, Gauteng, South Africa. This workshop is aimed at the academic, research community and participants who would like to share their knowledge and experience in data intensive research and research data management related topics. This is the second workshop hosted by the Data Intensive Research Initiative of South Africa (DIRISA) and will feature key contributions by leading researchers, research managers and experts who are currently shaping the future of data intensive research and data management in South Africa. You are invited to submit an abstract on any of a number of themes that will be covered during the workshop.

There will be hands-on tutorials focus on aspects of data management and that are aimed at all researchers, academics and participants who might require additional data management skills.

The workshop is free of charge however, limited space would be.      

Abstract information:

Abstracts are to be submitted via email to An email will be sent to you to acknowledge receipt of your submission. A unique number will be allocated to your submission. Please give the acknowledgment email at least 24 hours. Please use the Abstract Template to submit an abstract and note the important dates below:

Abstract closing – 24 May 2019
Notification of acceptance –  From 13 May 2019
Submission of extended abstracts – 31 May 2019  
Registration opens-  03 May 2019
Conference – 2 – 4 July

Themes for the National Data Workshop:

Research Data Management and Policies

The focus of this theme is on topics related to policies, procedures and services for managing research data. What infrastructures and initiatives at different levels (local, national, international), such as frameworks, protocols and standards are needed to improve the value and benefit of data. The topic also includes items related to the provisioning of services that support good data management practices, human and organisational:

  • Research data management lifecycle related topics
  • Data Management planning and related tools
  • Roles in research data management
  • Policies for research data management

Open Data and Data Citation

Measuring the progress of the Open Data adoption and its growing impact is vital for decision-making and funding processes. Metrics that can serve as reward or penalty for data publishers for making their work understandable, accessible and reusable by the research community. These metrics will greatly help to encourage the open science movement. Successes, trials and ideas on topics such as below are all welcome:

  • Data publication and citation
  • Leveraging Open data
  • Data curation and preservation
  • Indicators and metrics for data citation
  • Making data sharable (FAIR) without compromising IP and impact

Data Privacy and Security

Researcher needs and to report on best practices and technical aspects that help new research infrastructures to ensure security, trust and confidentiality. Papers about gaps in the current services offerings, security in Big and Open Data, policy frameworks and topics on:

  • Ethics
  • Legal and regulatory
  • Policies related to privacy and security of data
  • Cybersecurity

Data science and skills

The skills as needs for researchers to be able to manage (open) data, to conduct research. These skills follow the research life cycle and cover design and setting up research data, data production, management, analysis, open access publishing and other ways to act in and beyond one’s own scholarly and disciplinary community:

  • Data Science related topics: Data mining, data fusion/integration
  • Approaches, methodologies, initiatives and needs to increase data analytic skills
  • Data management skills
  • Capabilities to build, maintain and support advanced digital services for data-driven research

Technologies for cyberinfrastructure

The focus of this theme is on the various technologies that can be used to build on cyberinfrastructure. Technologies for cyberinfrastructure relates to the distributed systems that are used to support research in data intensive environment. This can extend beyond the distributed computer systems, computer networks, information systems and communication technologies. Successful planning, development and implementation of various technologies are all welcome:

  • Data systems architecture
  • Data infrastructures
  • Federated identification and access (E.g., SAFIRE, EduGain)

Please see other related and important links: Registration Information  and  Programme Information

Any enquiries can be directed to