The Make Data Count (MDC) project is funded by the Alfred P. Sloan Foundation to develop and deploy the social and technical infrastructure necessary to elevate data to a first-class research output alongside more traditional products, such as publications.
We plan to do so by finding alternative ways of gauging reach, measuring impact for data, and building data level metrics (DLMs). The earlier NSF funded Making Data Count pilot project was focused on learning what scholars and publishers thought were the most valuable metrics and approaches for this community. The current MDC project plans to not just focus on citations and usage but also building out a technical hub so that information does not get left behind as it can with article, and as the field gets more mature we expect metrics and usage stats to be fed into the DLM hub. To accomplish this we will present the first iteration of a COUNTER code of conduct for data usage stats at this Birds of a Feather session for community input.
Once this first iteration of standards for data usage has been formalized we will be building out a DLM hub using Lagotto, and enlist the cooperation of the research, library, funder, and publishing stakeholder communities to implement DLMs across DataCite repositories and drive adoption of DLMs.