Abstract
Researchers and the organizations that support research are stymied by data that are inconsistently specified. Incentives to share data go together with mechanisms to support interoperability. Both are starting to gain traction with the development and implementation of shared standards in research data exchange. The Consortia Advancing Standards in Research Administration Information (CASRAI) provides a peer-reviewed, open dictionary of terminology for the semantics and record-structures of research information. ORCID provides a persistent registry for researchers to obtain a unique identifier and, like CASRAI, works with the community to embed these identifiers in research workflows. Coupled with the CERIF model, which has been adopted as a structural model for research management systems by the European Commission, and CrossRef publication and DataCite dataset identifiers, these underlying exchange standards and services comprise a framework that supports open access and acknowledgement of researcher contributions. In this paper we describe a recent effort to ensure that information exchanged between systems meet the needs of both researchers and data consumers.
Highlights
Researchers and the organizations that support research are stymied by data that are inconsistently specified
For the purpose of this article, research administration means any work processes that are necessary to the overall research enterprise but that are not involved in ‘doing research’
Engaging industry and community partners, including submission of the CVs of external partners which may be in various formats
Summary
The modern research enterprise is highly collaborative, distributed, and partnership-driven. For the purpose of this article, research administration means any work processes that are necessary to the overall research enterprise but that are not involved in ‘doing research’. The community is challenged with obtaining robust data on the efficiency and effectiveness of research operations and evidence of the difference their interventions make without imposing undue administrative burden. Managers and evaluators are consistently frustrated by an inability to draw meaningful conclusions from a growing mountain of ‘disconnected’ data
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
