1. Adding value: Research data management at WorldFish Kirsten Abernethy & Eddie Allison

2. We have a data problem! The data we DON’T have: ● Large scale, wide geographic range ● Baselines, panel data ● Poverty/HDI/Food consumption surveys detailing fisheries information The data we DO have: ● Case studies (short, different methods, aims, not repeated) ● … and it disappears and is forgotten…

3. What does this mean for understanding fisheries? ● No synthesized data on basic metrics of poverty and wellbeing, hinders national, regional and global comparisons and IA (no baselines) ● No evidence base for micro-scale economic contribution of fishing (earnings, profits, multipliers) ● Unsubstantiated rhetoric emerges “ … fishing is the occupation of last resort” “… fisherfolk are the poorest of the poor” ● Hinders the case for targeted poverty reduction investment, and the case for reform is based on weak evidence

6. FishMicroEcon: The questions Who is poor ? (HH level analysis, with some intra-HH data) What are the assets that define poverty? What are the assets that allow people to get out of poverty? What is the relationship between fishing and agriculture? - e.g. Does fishing improve agricultural productivity?

9. Research Data Management Project (RDMP) We need help from the WFC scientists to complete phase 1 Your Input Explanations Dataset Name Name to describe dataset Dataset Description Brief description of data Dataset Remarks Any important comments on data Dataset Publisher Either WorldFish or WorldFish plus partners Citation Author Year 2011 Title Source Project Code Project Staff 1 Staff associated with creating database, including project leader 2 3 4 Institutions 1 External institutions associated with dataset, including individual team members involved 2 3 4

10. Research Data Management Project (RDMP) Why you want to be involved! 1. Opportunity to do analysis at a larger scale = Exciting science! 2. Greater efficiency of project method design At a glance find out what research has been done in a location, on a topic, or using a methodology, and identify gaps and need, while avoiding reinventing the wheel. E.g. Every HH survey has the same beginning component 3. Improve the quality of our methods using lessons learned from past projects 4. Have greater impact - evidence-based policy

11. Asanteni Natotela Twalumba Weebale Zikomo