ARDC Research Software Rights Management Guide
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
Keywords: Software citation, Software licensing, Software, research software, licence, License, training material
ARDC Research Software Rights Management Guide
https://zenodo.org/records/5003962
https://dresa.org.au/materials/ardc-research-software-rights-management-guide
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
Martinez, Paula Andrea (type: ProjectLeader)
Software citation, Software licensing, Software, research software, licence, License, training material
ARDC Research Data Rights Management Guide
A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.
Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights...
Keywords: data, rights, management, licence, licensing, research, policy, guide, training material
ARDC Research Data Rights Management Guide
https://zenodo.org/records/5091580
https://dresa.org.au/materials/ardc-research-data-rights-management-guide
A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.
Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights holders users and suppliers. Some general reference is made to characteristics and management of government data, acknowledging that this kind of data can be input to the research process. Government readers should consult their agency’s data management policies, in addition to reading this guide.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
data, rights, management, licence, licensing, research, policy, guide, training material
ARDC Research Data Rights Management Guide 2019
A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.
Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights...
Keywords: data, rights, management, licence, licensing, research, policy, guide, training material
ARDC Research Data Rights Management Guide 2019
https://zenodo.org/records/5091580
https://dresa.org.au/materials/ardc-research-data-rights-management-guide-149e27b4-fd5e-4739-8e40-be2c5ca6709c
A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.
Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights holders users and suppliers. Some general reference is made to characteristics and management of government data, acknowledging that this kind of data can be input to the research process. Government readers should consult their agency’s data management policies, in addition to reading this guide.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
data, rights, management, licence, licensing, research, policy, guide, training material
ARDC Research Software Rights Management Guide 2021
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
Keywords: Software citation, Software licensing, Software, research software, licence, License, training material
ARDC Research Software Rights Management Guide 2021
https://zenodo.org/records/5003962
https://dresa.org.au/materials/ardc-research-software-rights-management-guide-d147c836-6ba8-4c76-a258-88e4c293569c
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
Martinez, Paula Andrea (type: ProjectLeader)
Software citation, Software licensing, Software, research software, licence, License, training material
10 Reproducible Research things - Building Business Continuity
The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusions. However not all studies are...
Keywords: reproducibility, data management
Resource type: tutorial, video
10 Reproducible Research things - Building Business Continuity
https://guereslib.github.io/ten-reproducible-research-things/
https://dresa.org.au/materials/9-reproducible-research-things-building-business-continuity
The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusions. However not all studies are replicable due to lack of information on the process. Therefore, reproducibility in research is extremely important.
Researchers genuinely want to make their research more reproducible, but sometimes don’t know where to start and often don’t have the available time to investigate or establish methods on how reproducible research can speed up every day work. We aim for the philosophy “Be better than you were yesterday”. Reproducibility is a process, and we highlight there is no expectation to go from beginner to expert in a single workshop. Instead, we offer some steps you can take towards the reproducibility path following our Steps to Reproducible Research self paced program.
Video:
https://www.youtube.com/watch?v=bANTr9RvnGg
Tutorial:
https://guereslib.github.io/ten-reproducible-research-things/
a.miotto@griffith.edu.au; s.stapleton@griffith.edu.au; i.jennings@griffith.edu.au;
Amanda Miotto
Julie Toohey
Sharron Stapleton
Isaac Jennings
reproducibility, data management
masters
phd
ecr
researcher
support
