A Community-led Clinic on FAIR Data Quality Information for Australian and New Zealand Researchers

Dr Ivana Ivanova3, MS Irina Bastrakova4, Dr Lesley Wyborn1, Dr Mingfang Wu2

1Australian National University, Canberra, Australia
2Australian Research Data Commons, Melbourne, Australia
3Curtin University, Perth, Australia
4Geoscience Australia, Canberra, Australia

More and more datasets are becoming accessible due to increasing requirements for FAIR-compliant data;  open and reproducible science; and data infrastructures that facilitate online access.  But questions are being asked about the ‘quality’ of datasets being accessed: how does the user know how reliable a dataset is? It is common to hear cries “we can’t use that dataset because it is of poor quality”, or “don’t trust data from XXXX (where XXXX can represent sector, organisation, group, person) – their data is full of errors and is of low quality”.

For effective data reuse, aggregation and repurposing, community agreement and guidelines about what actually defines the quality of a dataset and its metadata are critical. It is also essential that this information be Findable, Accessible, Interoperable and Reusable (FAIR), available with each dataset, and both human and machine readable.

To set the scene, the BoF will start with a presentation on a collaborative international effort defining community guidelines for making data quality information FAIR. The focus of BoF will then shift to Australia and New Zealand to hear what:

1) Data quality-related issues communities are facing;

2) Resources exist that define quality and best practices for benchmarking specific datasets/data types;

3) Additional resources are desired by communities to improve data quality.

We would like participants (or groups) to bring along their data quality problems/use cases to the BoF for community discussion: other participants can then freely contribute to discussions on potential solutions and/or point to resources relevant to the problem.


Biography:

Dr. Lesley Wyborn is an Honorary Professor at ANU and works part time for ARDC. She had 42 years’ experience in GA in research and data management. She is Chair of the Academy of Science ‘National Data in Science Committee’ and is on the AGU Data Management and ESIP Advisory Boards.

Dr. Mingfang Wu is Senior Research Data Specialist at ARDC.

Dr. Ivana Ivanova is Senior Lecturer/Frontier SI Research Fellow at Curtin University.

Ms. Irina Bastrakova is Director of Spatial Data Architecture, National Location Information Place, Space and Communities Division, Geoscience Australia

Dr. Lesley Wyborn is an Honorary Professor at ANU and works part time for ARDC. She had 42 years’ experience in GA in research and data management. She is Chair of the Academy of Science ‘National Data in Science Committee’ and is on the AGU Data Management and ESIP Advisory Boards.

Dr. Mingfang Wu is Senior Research Data Specialist at ARDC.

Dr. Ivana Ivanova is Senior Lecturer/Frontier SI Research Fellow at Curtin University.

Ms. Irina Bastrakova is Director of Spatial Data Architecture, National Location Information Place, Space and Communities Division, Geoscience Australia

Date

Oct 13 2021
Expired!

Time

2:00 pm - 3:20 pm

Local Time

  • Timezone: America/New_York
  • Date: Oct 12 - 13 2021
  • Time: 11:00 pm - 12:20 am