About us

Livestock Data for Decisions (LD4D) is a Community of Practice (CoP) that was launched in January 2017. It aims to drive informed livestock decision-making through better use of existing data and analyses.

Who we are

LD4D unites representatives from academia, NGOs, donor agencies and industry, and encourages its members to access and share expert knowledge and innovations.

What we do

LD4D aims to help ‘data suppliers’ and ‘data users’ interact effectively, ensuring data supply and demand are met.

Through cataloguing and organizing livestock data, making it more discoverable and digestible, LD4D ultimately aims to guide investments that will improve the livelihoods of smallholder farmers in low and middle income countries.

Why does livestock data matter?

Hundreds of millions of poor people depend on livestock for nutritious food, income, and on-farm assistance. Yet low livestock productivity in these regions results in low incomes for smallholder farmers. Productive livestock can lift smallholders out of poverty, so relevant data is required in order to select the livestock strategy that will be most effective in maximising productivity.

Acknowledgment

LD4D is facilitated and supported by the project Supporting Evidence Based Interventions (SEBI), awarded to The Royal (Dick) School of Veterinary Studies at The University of Edinburgh.

In order to build proactive and reactive international development interventions to sustainably improve livestock health and productivity in LMICs, SEBI is working to define and bridge the existing livestock data gap through close collaboration with the wider livestock development community.

CGIAR Platform for Big Data in Agriculture

LD4D is the Livestock Community of Practice for the CGIAR Platform for Big Data in Agriculture.

The Platform aims to increase the impact of agricultural development by embracing big data approaches to solve development problems faster, better and at greater scale than before. CGIAR is the largest network of agricultural research organisations in the world, and the Platform brings together institutions with complementary big data expertise to deliver this goal.

Header image photo: Z. Sewunet (ILRI)