Amir Aryani

On Bridging Data Centers and Publishers: The Data-Literature Interlinking Service

Although research data publishing is today widely regarded as crucial for reproducibility and proper assessment of scientific results, several challenges still need to be solved to fully realize its potential. Developing links between the published literature and datasets is one of them. Current solutions are mostly based on bilateral, ad-hoc agreements between publishers and data centers, operating in silos whose content cannot be readily combined to deliver a network connecting research data and literature. The RDA Publishing Data Services Working Group (PDS-WG) aims to address this issue by bringing together different stakeholders to agree on common standards, combine links from disparate sources, and create a universal, open service for collecting and sharing such links: the Data-Literature Interlinking Service. This paper presents the synergic effort of the PDS-WG and the OpenAIRE infrastructure to realize and operate such a service. The Service populates and provides access to a graph of dataset-literature links collected from a variety of major data centers, publishers, and research organizations. At the time of writing, the Service has close to one million links with further contributions expected. Based on feedback from content providers and consumers, PDS-WG will continue to refine the Service data model and exchange format to make it a universal, cross-platform, cross-discipline solution for collecting and sharing dataset-literature links.

The data-literature interlinking service: Towards a common infrastructure for sharing data-article links

Research data publishing is today widely regarded as crucial for reproducibility, proper assessment of scientific results, and as a way for researchers to get proper credit for sharing their data. However, several challenges need to be solved to fully realize its potential, one of them being the development of a global standard for links between research data and literature. Current linking solutions are mostly based on bilateral, ad hoc agreements between publishers and data centers. These operate in silos so that content cannot be readily combined to deliver a network graph connecting research data and literature in a comprehensive and reliable way. The Research Data Alliance (RDA) Publishing Data Services Working Group (PDS-WG) aims to address this issue of fragmentation by bringing together different stakeholders to agree on a common infrastructure for sharing links between datasets and literature. The paper aims to discuss these issues.,This paper presents the synergic effort of the RDA PDS-WG and the OpenAIRE infrastructure toward enabling a common infrastructure for exchanging data-literature links by realizing and operating the Data-Literature Interlinking (DLI) Service. The DLI Service populates and provides access to a graph of data set-literature links (at the time of writing close to five million, and growing) collected from a variety of major data centers, publishers, and research organizations.,To achieve its objectives, the Service proposes an interoperable exchange data model and format, based on which it collects and publishes links, thereby offering the opportunity to validate such common approach on real-case scenarios, with real providers and consumers. Feedback of these actors will drive continuous refinement of the both data model and exchange format, supporting the further development of the Service to become an essential part of a universal, open, cross-platform, cross-discipline solution for collecting, and sharing data set-literature links.,This realization of the DLI Service is the first technical, cross-community, and collaborative effort in the direction of establishing a common infrastructure for facilitating the exchange of data set-literature links. As a result of its operation and underlying community effort, a new activity, name Scholix, has been initiated involving the technological level stakeholders such as DataCite and CrossRef.

A Research Graph dataset for connecting research data repositories using RD-Switchboard

This paper describes the open access graph dataset that shows the connections between Dryad, CERN, ANDS and other international data repositories to publications and grants across multiple research data infrastructures. The graph dataset was created using the Research Graph data model and the Research Data Switchboard (RD-Switchboard), a collaborative project by the Research Data Alliance DDRI Working Group (DDRI WG) with the aim to discover and connect the related research datasets based on publication co-authorship or jointly funded grants. The graph dataset allows researchers to trace and follow the paths to understanding a body of work. By mapping the links between research datasets and related resources, the graph dataset improves both their discovery and visibility, while avoiding duplicate efforts in data creation. Ultimately, the linked datasets may spur novel ideas, facilitate reproducibility and re-use in new applications, stimulate combinatorial creativity, and foster collaborations across institutions.

Report on the First International Workshop on Reproducible Open Science

In the last decade, information and communication technology (ICT) advances have deeply affected the scientific process, which increasingly produces and relies on digital research products, such as publications, datasets, experiments, websites, software, blogs, etc. Accordingly, scientific communication has started mutating in order to adapt its mission (and business models) to such new scientific paradigms and benefit from the unprecedented Open Science opportunities that may arise from them: reproducibility, i.e., the ability of repeating a digital experiment and reusing its constituent products; and transparent evaluation, i.e., the ability of (i) effectively evaluating scientific experiments by means of reproducibility and (ii) assigning fine-grained scientific reward, based on effective authorship across the overall scientific process. Scientists, research institutions, and funders are pushing for innovative Open Science scholarly communication workflows (i.e., submission, peer-review, access, reuse, citation, and scientific reward), marrying a holistic approach where publishing includes in principle any digital product resulting from a research activity that is relevant to the evaluation and reproducibility of the activity or part of it. Defining, taking up, and supporting Open Science publishing workflows become urgent challenges, to be addressed by ICT solutions capable of fostering and driving radical changes in the way science is developed and disseminated. The goal of the first International Workshop on Reproducible Open Science1 was to provide a forum for constructively exploring foundational, orga-