23 (research data) Things
23 (research data) things is a set of training materials exploring research data management. Each of the 23 things offers a variety of learning opportunities with activities at three levels of complexity:
- Getting started
- Learn more
- Challenge me
All resources used in the program are online...
Keywords: research data management, training material
23 (research data) Things
https://zenodo.org/records/3955524
https://dresa.org.au/materials/23-research-data-things-793872d2-c221-4cd6-91be-11a313c74b78
23 (research data) things is a set of training materials exploring research data management. Each of the 23 things offers a variety of learning opportunities with activities at three levels of complexity:
* Getting started
* Learn more
* Challenge me
All resources used in the program are online and free to use and reuse under a Creative Commons Attribution 4.0 International licence. You could use all of them as a self-paced course, or choose components to integrate into your own course.
The 23 things are designed to build knowledge as the program progresses, so if you’re new to the world of research data management, we suggest you start with things 1-3 and then decide where you want to go from there.
These materials supported an international community-based training program delivered in 2016 by the Australian National Data Service.
This release migrates these materials to a GitHub repository for continued maintenance. Some updates were made to material that was outdated.
We welcome contributions and suggestions via GitHub Issue or Pull Request.
contact@ardc.edu.au
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Stokes, Liz (orcid: 0000-0002-2973-5647)
Burton, Nichola (orcid: 0000-0003-4470-4846)
Kelly, Andrew (orcid: 0000-0002-5377-5526)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Brownlee, Rowan (orcid: 0000-0002-1955-1262)
Levett, Kerry (orcid: 0000-0001-5963-0195)
Brady, Catherine (orcid: 0000-0002-7919-7592)
research data management, training material
ARDC FAIR Data 101 self-guided
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the...
Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
ARDC FAIR Data 101 self-guided
https://zenodo.org/records/5094034
https://dresa.org.au/materials/ardc-fair-data-101-self-guided-2d794a84-f0ff-4e11-a39c-fa8ea481e097
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the Scholarly Communications Lifecycle', run by Natasha Simons at the FORCE11 Scholarly Communications Institute. These training materials are hosted on GitHub.
contact@ardc.edu.au
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Burton, Nichola (orcid: 0000-0003-4470-4846)
Martinez, Paula A. (orcid: 0000-0002-8990-1985)
Simons, Natasha (orcid: 0000-0003-0635-1998)
Russell, Keith (orcid: 0000-0001-5390-2719)
McCafferty, Siobhann (orcid: 0000-0002-2491-0995)
Ferrers, Richard (orcid: 0000-0002-2923-9889)
McEachern, Steve (orcid: 0000-0001-7848-4912)
Barlow, Melanie (orcid: 0000-0002-3956-5784)
Brady, Catherine (orcid: 0000-0002-7919-7592)
Brownlee, Rowan (orcid: 0000-0002-1955-1262)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Quiroga, Maria del Mar (orcid: 0000-0002-8943-2808)
training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
ARDC Guide to making software citable
A short guide to making software citable using a code repository, an ORCID and a licence.
Keywords: Software citation, Software publishing, Software registries, Software repositories, Research software, training material
ARDC Guide to making software citable
https://zenodo.org/records/5003989
https://dresa.org.au/materials/ardc-guide-to-making-software-citable-46d0f9e4-ef55-43b9-b237-3e52a9d1e141
A short guide to making software citable using a code repository, an ORCID and a licence.
contact@ardc.edu.au
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Martinez, Paula Andrea (type: ProjectLeader)
Software citation, Software publishing, Software registries, Software repositories, Research software, training material
Software publishing, licensing, and citation
A short presentation for reuse includes speaker notes.
Making software citable using a code repository, an ORCID and a licence.
Keywords: Software citation, Software publishing, Software registries, Software Repositories, research Software, training material
Software publishing, licensing, and citation
https://zenodo.org/records/5091717
https://dresa.org.au/materials/software-publishing-licensing-and-citation-d222144f-380a-455d-b4aa-c56283afc23e
A short presentation for reuse includes speaker notes.
Making software citable using a code repository, an ORCID and a licence.
contact@ardc.edu.au
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Martinez, Paula Andrea (type: ProjectLeader)
Software citation, Software publishing, Software registries, Software Repositories, research Software, training material
Software publishing, licensing and citation
This presentation was part of an “Orientation to ARDC services and expertise” series, specifically aimed at people involved in one of the ARDC co-investment projects commencing early 2021. In addition to co-investment of money, ARDC contributes expertise and services in a range of areas: research...
Keywords: software, code, Repositories, code sharing, training material
Software publishing, licensing and citation
https://zenodo.org/records/4816879
https://dresa.org.au/materials/software-publishing-licensing-and-citation-49097378-f296-44aa-b724-a57d22214d99
This presentation was part of an “Orientation to ARDC services and expertise” series, specifically aimed at people involved in one of the ARDC co-investment projects commencing early 2021. In addition to co-investment of money, ARDC contributes expertise and services in a range of areas: research vocabularies, persistent identifiers, data discovery catalogues, metadata issues, licensing, governance, underpinning infrastructure (e.g. Nectar Research Cloud) and more. ARDC can also connect projects to national and international communities and initiatives trying to solve common challenges and outline best practice.
This session explained why and how to publish, licence and cite software.
A video recording of this session can also be found on ARDC's YouTube channel: https://youtu.be/l2acLeuF_QE
contact@ardc.edu.au
Liffers, Matthias (orcid: 0000-0002-3639-2080)
software, code, Repositories, code sharing, training material
National skills ecosystem - call to action
In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4.
Skilled trainers / facilitators
National training registry
National training event calendar
Jointly developed training
Research...
Keywords: national skills initiatives, data skills, training, skills community, training material
National skills ecosystem - call to action
https://zenodo.org/records/4289335
https://dresa.org.au/materials/national-skills-ecosystem-call-to-action-ffd9b4ed-b557-496b-ac35-72467c03c71b
In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4.
- Skilled trainers / facilitators
- National training registry
- National training event calendar
- Jointly developed training
- Research support professionals: career/progression
contact@ardc.edu.au
Padmanabhan, Komathy
Backhaus, Ann
Papaioannou, Anastasios (orcid: 0000-0002-8959-4559)
Tang, Titus
Crowe, Mark (orcid: 0000-0002-9514-2487)
Vanichkina, Darya (orcid: 0000-0002-0406-164X)
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
national skills initiatives, data skills, training, skills community, training material
ML4AU: Trainings, trainers and building an ML community
This lightning talk provides an update on the current state of machine lerning training activities. Additionally, the talk will introduce the training portal on the ML4AU website, which has been created to address some of the challenges faced by the trainer community.
You can watch the YouTube...
Keywords: machine learning, training, skills, community of practice, trainers, training material
ML4AU: Trainings, trainers and building an ML community
https://zenodo.org/records/5711863
https://dresa.org.au/materials/ml4au-trainings-trainers-and-building-an-ml-community-891b095f-91c2-461d-8039-1c25f50f5857
This lightning talk provides an update on the current state of machine lerning training activities. Additionally, the talk will introduce the training portal on the ML4AU website, which has been created to address some of the challenges faced by the trainer community.
You can watch the YouTube video here: https://youtu.be/cQS0guC5_Cg
contact@ardc.edu.au
Bonu, Tarun (orcid: 0000-0002-3910-3475)
machine learning, training, skills, community of practice, trainers, training material
ARDC Datacite API Jupyter notebook
This Jupyter notebook presents a low-barrier entry to using the DataCite REST API to mint, update, publish, and deleted DOIs and their associated metadata.
It was designed specifically to not use any third-party libraries so that it can be reused in almost any Jupyter notebook environment
Code...
Keywords: jupyter, notebook, DataCite, api, python, metadata, DOI, training material
ARDC Datacite API Jupyter notebook
https://zenodo.org/record/5574653
https://dresa.org.au/materials/ardc-datacite-api-jupyter-notebook
This Jupyter notebook presents a low-barrier entry to using the DataCite REST API to mint, update, publish, and deleted DOIs and their associated metadata.
It was designed specifically to not use any third-party libraries so that it can be reused in almost any Jupyter notebook environment
Code is presented alongside human readable comments that explain the use of each component of the notebook.
contact@ardc.edu.au
Liffers, Matthias (orcid: 0000-0002-3639-2080)
jupyter, notebook, DataCite, api, python, metadata, DOI, training material