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Interest group about data quality, cleaning and fitness-for-use. TDWG data quality interest group.

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Group discussion > TDWG Data Quality Interest Group GitHub

TDWG Data Quality Interest Group GitHub

Arthur Chapman
198 days ago

In accordance with TDWG policy, the Data Quality Interest Group is moving its discussion to the TDWG GitHub. We have now set up a GitHub for the Interest Group (https://github.com/tdwg/bdq).

I urge all of you who are still interested, to join GitHub (https://github.com/) and then to either follow (Using the Watch feature at https://github.com/tdwg/bdq) or request to be a contributor if you wish to be more actively involved. This will ensure that you are notified of all activity, and can actively comment or participate. It will also allow us to establish a dedicated mailing list.

We are looking for people to become more active in the group as we develop documents and material that need people to check, review and discuss.

Future information from the group will be placed on the Group's GitHub Wiki 

Arthur

Co-convenor TDWG Data Quality Interest Group.

Arthur Chapman
48 days ago

I would just like to remind everyone still on this list that in accordance with TDWG policy, the Data Quality Interest Group has moved its discussion to the TDWG GitHub. (https://github.com/tdwg/bdq).

I urge all of you who are still interested, to join GitHub (https://github.com/) and then to either follow (Using the Watch feature at https://github.com/tdwg/bdq) or request to be a contributor if you wish to be more actively involved. This will ensure that you are notified of all activity, and can actively comment or participate. It will also allow us to establish a dedicated mailing list.

We are looking for people to become more active in the group as we develop documents and material that need people to check, review and discuss.

Future information from the group will be placed on the Group's GitHub Wiki

Arthur

Co-convenor TDWG Data Quality Interest Group.

Arthur Chapman
48 days ago

A new publication in Plos 1 (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0178731) by Allan Koch Veiga and others, lays out a Conceptual Framework for quality assessment and management of biodiversity data. This is a large piece of work that has taken several years to develop and arises out Allan's doctoral thesis from the University of Sao Paulo.

The document lays out a framework for data quality - whether it is users looking for data of a certain quality for their use, aggregators looking at presenting the data in a more consistent data quality framework, technicians building tools and services, or data custodians wanting to improve the quality of their own data.

 

This document is a key output from the TDWG Data Quality Interest Group and is a framework around which other products are being worked on and will be produced in the near future, including a fitness for use backbone (FFUB), tools and profiles based on the framework; a consistent set of core data quality tests and assertions based on Darwin Core terms; Fitness for use Use Case library and tools; and controlled vocabularies linked to many of the Darwin Core terms.

Arthur Chapman
48 days ago

A new publication in Plos 1 (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0178731) by Allan Koch Veiga and others, lays out a Conceptual Framework for quality assessment and management of biodiversity data. This is a large piece of work that has taken several years to develop and arises out Allan's doctoral thesis from the University of Sao Paulo.

The document lays out a framework for data quality - whether it is users looking for data of a certain quality for their use, aggregators looking at presenting the data in a more consistent data quality framework, technicians building tools and services, or data custodians wanting to improve the quality of their own data.

 

This document is a key output from the TDWG Data Quality Interest Group and is a framework around which other products are being worked on and will be produced in the near future, including a fitness for use backbone (FFUB), tools and profiles based on the framework; a consistent set of core data quality tests and assertions based on Darwin Core terms; Fitness for use Use Case library and tools; and controlled vocabularies linked to many of the Darwin Core terms.