Persistent identifiers (PIDs) are not only important to uniquely identify a publication, dataset, or person, but the metadata for these persistent identifiers can provide unambiguous linking between persistent identifiers of the same type, e.g. journal articles citing other journal articles, or of different types, e.g. linking a researcher and the datasets they produced.
Sound, reproducible scholarship rests upon a foundation of robust, accessible data. For this to be so in practice as well as theory, data must be accorded due importance in the practice of scholarship and in the enduring scholarly record. In other words, data should be considered legitimate, citable products of research. Data citation, like the citation of other evidence and sources, is good research practice and is part of the scholarly ecosystem supporting data reuse. In support of this assertion, and to encourage good practice, we offer a set of guiding principles for data within scholarly literature, another dataset, or any other research object.
Asclepias is a project between CERN/Zenodo, NASA ADS and AAS to promote scientific software into an identifiable, citable, and preservable object. We are focusing upon the needs of two of the most important roles researchers play in the scholarly ecosystem: authors of scholarly manuscripts and developers of scientific software. We are building a technical framework and promoting a set of social practices that will help to manage some of the problems associated with software citations, which include software versions, release specific authorship, synonymous object identifiers, and best practices for journal references markup. Our technical solution provides a flexible and reusable service that, as first step, will connect Zenodo[1] and ADS[2] systems using the Scholix[3] framework as the interoperability communication protocol to share scholarly PID-based links.
[1] https://zenodo.org
[2] https://ui.adsabs.harvard.edu
[3] http://www.scholix.org
Slides presented at the International Open Science conference in Berlin (20 March 2019). The presentation is about the OpenAIRE activities to foster and support the implementation of Open Science practices, focusing on the work for the materialisation of an open metadata research graph of interlinked scientific products, with access rights information, linked to funding information and research communities. The aim is to build a high quality, trusted, public, open science graph on top of which different types of services can be built, for example for monitoring research impact and research assessment.
One year into our Sloan funded Make Data Count project, we are proud to release Version 1 of standardized data usage and citation metrics! As a community that values research data it is important for us to have a standard and fair way to compare metrics...
DataCite Blog