Webinar 13 June 2018: Why and How to Cite Data

Learn how the Data Science team is using new technologies to increase the visibility, validity, and accessibility of DCO data.

Why and How to Cite Data

In the next Webinar Wednesday on 13 June 2018, Data Science team member Mark Parsons (Rensseleaer Polytechnic Institute, USA) will detail how Research Data Alliance (RDA) technologies are being integrated into DCO's Data Portal,  increasing the visibility, validity, and accessibility of DCO data.

Increasingly data, software, and other research artifacts are being recognized as first class scientific objects, crucial to supporting the arguments in an article as well as general transparency and reproducibility. The DCO Data Science team has long recognized this and has assigned persistent identifiers(PIDs)to publications, people, organizations, instruments, data sets, and sample collections. This enables consistent and persistent reference to these artifacts over time. Indeed, the use of PIDs is becoming a routine part of scholarly communication.The most obvious example, of this is the use of Digital Object Identifiers (DOIs) in the citations of published literature, but increasingly data and software repositories, funding agencies, and others are making greater use of PIDs to manage information.

The Research Data Alliance is an international organization that aims to remove barriers to data sharing by inviting both data users and providers in any field to solve data sharing issues as a team. Working Groups develop RDA Recommendations and strive to develop viable solutions to well-articulated, specific data-sharing problems. After community vetting and endorsement, the Recommendations are available for adoption by others in similar communities inside or outside of RDA. Many of the Recommendations relate to the formal implementation and application of PIDs and associated information.

The DCO Data portal has adopted and is adopting several of these RDA recommendations to further increase the visibility, validity, and accessibility of DCO data. In particular, the Data Portal is adopting the Scalable Dynamic Data Citation Methodology (DDC) and Scholix Recommendations. DDC provides a method for persistently referencing a specific subset of dynamically changing data by using PIDs. This allows researchers and other data users to precisely link to data used in a study or in a particular provenance chain. This precise, immutable reference increases the reproducibility and validity of the resultant work. In a similar vein, Scholix provides a high-level framework for exchanging links and basic metadata between scholarly literature and data. The goal is to enable a better understanding of what data underpin the literature and how. Together, if broadly adopted, the DDC and Scholix Recommendations could significantly improve the traceability of data use and reuse, and advance goals ranging from the reproducibility of the research to credit mechanisms for data providers and curators.

This webinar will review these technologies and how they are being implemented in the DCO Data Portal. It should be of interest to repository managers, publishers, and researchers sharing data.

Find out more about this summer's Data Science webinar series

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