Interoperable infrastructure for software and data publishing

"Research data and software rely heavily on the technical and social infrastructure to disseminate, cultivate, and coordinate projects, priorities, and activities. The groups that have stepped forward to support these activities are often segmented by aspects of their identity - facets like discipline, for-profit versus academic orientation, and others. Siloes across the data and software publishing communities are even more splintered into those that are driven by altruism and collective advancement versus those motivated by ego and personal/project success. Roadblocks to progress are not limited to commercial interests, but rather defined by those who refuse to build on past achievements, the collective good, and opportunities for collaboration, insisting on reinventing the wheel and reinforcing siloes. In the open infrastructure space, several community-led repositories have joined forces to collaborate on single integrations or grant projects (e.g. integrations with Frictionless Data, compliance with Make Data Count best practices, and common approaches to API development). While it is important to openly collaborate to fight against siloed tendencies, many of our systems are still not as interoperable as they could and should be. As a result, our aspirational goals for the community and open science are not being met with the pacing that modern research requires...."