This is a list of ongoing and past consultations carried out within the GBIF network and wider community. You'll find instructions on how to take part, read the submitted responses and look at how these consultations have been followed up and acted upon.
Following the closing date for each consultation, the GBIF Secretariat will review responses and develop a report and recommendations for next steps within four weeks of the response deadline.
This consultation is now closed. You can read a news item on the GBIF Governing Board's decision on the way forward for data licensing and endorsement in the GBIF community, based partly on the outcomes of this consultation.
This consultation between April and June 2014 gathered input on proposed changes to the processes for adding data publishers to the GBIF network and for assessing the fitness for use of datasets.
It fulfilled a commitment in the 2014 Work Programme to expand the model for endorsement of datasets, and to engage with expert communities in order to provide a richer assessment of the value of each dataset to potential users.
In brief, the proposed changes were:
- Any potential data publisher should be able to register with GBIF and submit datasets without the need for prior endorsement - such datasets would initially be 'unevaluated'.
- GBIF Secretariat staff would monitor new datasets to detect attempts to abuse the infrastructure.
- As datasets are indexed, they would undergo automated checks for standards compliance and data consistency, and the results would be included on dataset pages in the GBIF portal.
- Relevant GBIF Participants, based on location and indications by the publisher, would be invited to review the dataset and provide an endorsement, if appropriate.
- GBIF portal country pages would include a list of all datasets endorsed by a national Participant, as at present.
- Additional pages would be developed to list all datasets endorsed by organisational Participants and affiliates, encouraging curation of data within areas of expertise.
- Datasets may receive multiple endorsements from any number of Participants, and these would all be displayed on a dataset page, helping to evaluate fitness for use.
- Further elements to assist such evaluation will be explored, including user comments and annotations on individual records, and use of datasets or records in research activities.
- Filters would be developed to help users select or exclude datasets carrying different levels of endorsement, including unevaluated data.