Data sharing is one of the cornerstones of modern science that enables large-scale analyses and reproducibility. We evaluated data availability in research articles across nine disciplines in Nature and Science magazines and recorded corresponding authors’ concerns, requests and reasons for declining data sharing. Although data sharing has improved in the last decade and particularly in recent years, data availability and willingness to share data still differ greatly among disciplines. We observed that statements of data availability upon (reasonable) request are inefficient and should not be allowed by journals. To improve data sharing at the time of manuscript acceptance, researchers should be better motivated to release their data with real benefits such as recognition, or bonus points in grant and job applications. We recommend that data management costs should be covered by funding agencies; publicly available research data ought to be included in the evaluation of applications; and surveillance of data sharing should be enforced by both academic publishers and funders. These cross-discipline survey data are available from the plutoF repository.

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Our study on smart contracts, self-executing agreements based on blockchain technology, can be placed in the field of inquiry within law and economics of contracts which explores new modes of contract enforcement as sources of market creation. We lay the foundations by characterising contract enforcement and trust mechanisms underlying contracts. Considering that trust reduces risks in economic exchange, we explain how the particular trust mechanism underlying smart contracts’ enforcement (no-party trust) provides opportunities for creating new markets and changing existing ones. We explore, among other things, whether using smart contracts could be a path to increasing the autonomy of consumers and offering a solution for democratising trade.