The articles in this month’s Intersector Briefing discuss data collaboratives — from what they can look like to why they’re important to what challenges they present.
Cross-sector collaborations often involve managing many streams of data and information from the multiple actors involved, which can come with a variety of challenges.
Agreeing on measures of success (deciding how to measure progress) is crucial to moving a cross-sector collaboration’s work forward and to keeping collaborative members on board.
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In collaborative environments characterized by shared decision making, developing a fact base that defines “the problem” is an often overlooked but crucial step among partners.
Building an accountability structure enables clarity and communication among cross-sector partners, explains Parvathi Santhosh-Kumar of StriveTogether.
If a collaboration neglects to account for both financial and non-financial resources in its early stages, it exposes itself to higher operating risk and ultimately limits its capacity.
Examining previous efforts of collaboration in a similar issue area can equip partners with valuable information to shape their own collaborative actions.
In this guest post, Chris Thompson discusses the importance of cross-sector projects having a compelling cause, galvanizing leadership, and high-performing organizations.