research models for impact

Fair Open Data

13 May: Making Open Data Work for Africa

A recent commentary by Renato A. F. de Lima and 25 colleagues from a range of countries presents a call for recognising the massive intellectual, financial, and personal investment made by people collecting field ecological data globally. They argue that the international push to make forest plot data “FAIR” (Findable, Accessible, Interoperable, Reusable) has made the situation more UNFAIR, by degrading the rights and opportunities of those who invested in collecting the data.