Research Data Management: Ensuring End User Participation and Institutional Control through Incentive Creation
Time 10/18/17 02:30PM-03:20PM
Room Seacliff B
Research data is often stored in silo’d locations far from the administrative oversight of the institution. This poses confidentiality and intellectual property loss risks for both faculty members and the institution. Institutions can now benefit from software-as-a-service approaches that seek to embed research data management utility directly into the researcher’s workflow. This utility includes applications built on top of open API frameworks, elegant integration and synchronizations with vertical content databases such as GitHub, and direct flowing of data from point of notation in the wet lab Electronic Lab Notebook, Jupiter or iPython notebook into an institutional data store for DOI registration, publication and online attention and impact tracking. The latter is the key incentive that ensures researcher participation in institutional research data management projects. Deliver the researchers citations, news media and policy document attention for their data and they will upload and store it with you.
Data citations are growing in importance, especially for software code, figures and methods, but up to this point, have proved difficult if not impossible to capture comprehensively and in way that they can be aggregated and reported on for an institution. This is because, largely, data citations are buried in the full text of the published research literature, not the references section, and need to be text mined out. New approaches now enable this through a combination of elegant system integrations and the indexing of full text in discovery databases.
Auto-population of data repositories for institutions is the second incentive that draws researchers in and ensures their participation in institutional initiatives. Open data under the intellectual license of researchers affiliated to an institution can be aggregated from third party sources and presented under an institutionally-branded research data platform with filters by department, research category and individual researcher. Once the researchers see a pre-populated portal, they will contribute more data on top of this strong foundation while institutional administrators will be able to bring all their organization’s research data under one lens for strategic analysis and compliance purposes.
Mark Hahnel, founder of research data management software as a service Figshare will discuss successful technical approaches to creating these incentives that ensure researcher participation, that they get credit for their diverse research outputs and that the institution gets control over its distributed intellectual property.
Primary track Applications for Research