User Interviews

Interviews

OpenDRI Index compiles informations relative to the “preparedness” for disaster risk, and says if data are open data.

It is a (…) site where you can find the sources of various datasets, for specific countries, and their kind of openness.

The OpenDRI Index is a website that helps you upload datasets related to disaster risks in your country.

Score the data is not understood and they don’t get how it would help them.
Add a dataset form is complex and does not capture their uncertainty about the data they
Add a dataset choosing a category is hard and does not reflect how they would label a dataset (they would tick the relevant hazards directly)
Add a dataset the field does not capture if the data are free to use or if an explicit license has other kind of implications (not for commercial use, etc.)
Data a map available as PDF may be open, but it is unuseable, even if it ticks all the boxes of open data criteria
UX some terms are not always clear (global data, worldwide or multi-region scale datasets?)
Dataset category does not imply the many datasets will share a common ground in term of datapoints (column naming, data schema)
Add a dataset is effortful and the more dataset you add, the more time-consumming the maintenance of the metadata becomes.

Data seeing water companies and university data as well
Data be clearer on the required fields for dataset categories — some datasets are not useable if they are missing
Data getting to more qualitative (experience of contribution, experience of exploration, experience of data wrangling)
UX label could convey their impact, what it is about, their usefulness and reading keys — instead of matching database field names (eg: “Dataset is open” vs. “Dataset can be downloaded publicly, without registration”, etc.)
Metadata can be refreshed from the sources themselves (via a feed or a data connector of some sort)
Metadata could display in which real events the datasets have been used for (it increases the sense of usefulness)