Jochen Schirrwagen

OpenAIRE Guidelines: supporting interoperability for Literature Repositories, Data Archives and CRIS

OpenAIRE – Open Access Infrastructure for Research in Europe – is moving from a publication infrastructure to a more comprehensive infrastructure that covers all types of scientific output. To put this into practice an integrated suite of guidelines were developed with specific requirements supporting the goal of OpenAIRE and the European Commission. This poster outlines the OpenAIRE Guidelines, highlighting the set of guidelines for Literature Repository Managers, for Data Archive Managers and for CRIS Managers.

Theory and Practice of Digital Libraries -- TPDL 2013 Selected Workshops

This article describes a case study of a small research group collecting and managing data from a pair of long-running experimental campaigns, detailing the data management and publication processes in place at the time of the experiments. It highlights the reasons why publications became disconnected from their underlying data in the past, and identifies the new processes and principles which aim to address these issues.

Information inference in scholarly communication infrastructures: the OpenAIREplus project experience

The Information Inference Framework presented in this paper provides a general-purpose suite of tools enabling the definition and execution of flexible and reliable data processing workflows whose nodes offer application-specific processing capabilities. The IIF is designed for the purpose of processing big data, and it is implemented on top of Apache Hadoop-related technologies to cope with scalability and high-performance execution requirements. As a proof of concept we will describe how the framework is used to support linking and contextualization services in the context of the OpenAIRE infrastructure for scholarly communication.

PlosOpenR --Exploring FP7 funded PLOS publications

This case study explores alternative science metrics on grant-supported research publications. The study is based on plosOpenR, a software package for the statistical computing environment R. plosOpenR facilitates access to the application programming interfaces API provided by Open Access publisher Public Library of Science PLOS and OpenAIRE --Open Access Infrastructure for Research in Europe.We report 1,166 PLOS articles that acknowledge grant support from 624 different research projects funded by the European Unions 7th Framework Programme FP7. plosOpenR allows the exploration of PLOS Article-Level Metrics PLOS ALM, including citations, usage and social media events as well as collaboration patterns on these articles. Findings reveal the potential of reusing data, that are made openly and automatically available by publishers, funders and the repository community.

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-

Progress in the Implementation of the OpenAIRE Guidelines for CRIS Managers

This contribution provides an update on the implementation of the OpenAIRE Guidelines for CRIS Managers based on CERIF-XML, which aim to allow Current Research Information Systems (CRIS) to be harvested by the OpenAIRE content aggregator. Besides describing the technical challenges posed by this step forward in system interoperability, the text provides an insight on the CRIS landscape and how different systems could gradually become OpenAIRE-compliant. The contribution is a follow-up to previous presentations on the progress with the drafting of these guidelines that were delivered at past CRIS conferences.

COAR Resource Types – a SKOSified Vocabulary for Open Repositories

The use of controlled vocabularies in bibliographic metadata is essential to ensure interoperability in terms of data exchange and the provision of value added services. Repositories are using controlled vocabularies (e.g. from the Dublin Core Metadata Initiative) and application profiles (e.g. info: eu-repo) across system boundaries. However, in practice, one can observe a lack of consistent use, granularity and regular maintenance which has significant negative impact on resuability of metadata. In addition, new application scenarios arise (e.g. recording of funder and project/grant information, linking publications with other scholarly output, producing reliable usage statistics and sharing of scholarly information across different systems, like literature repositories, data repositories and current research information systems) and thus increased demands on controlled vocabularies. The COAR Interest Group on “Controlled Vocabularies” aims to address this problem and is developing a set of controlled vocabularies for open access repositories as a community-driven effort. Using the example of the COAR ResourceType vocabulary to describe the genre of a digital object organizational, methodological and technical steps of its implementation are presented.

Supporting research analytics by OpenAIREs usage statistics hub

Usage metrics about all kinds of scholarly output are one of the measures to assess Open Access impact and are a value added service of Open Access repositories. OpenAIRE2020 is running usage data pilots that monitors and analyzes usage information, as well exploits usage metrics like views and downloads as complements to other scientific metrics. However, user activity is not limited in the traditional ways of accessing scholar information and the current diversity of the scholarly ecosystem implies a variety of alternative metrics for measuring impact. Therefore a strong need arises to develop complementary metrics for impact and quality which are less simplistic, more reliable and open for use and reuse. OpenAIRE2020 will do this by monitoring and analyzing repository usage data and exploiting not only usage metrics like downloads and metadata views, but also combine these metrics with the new ways of usage activity, i.e. the social content. In this manner OpenAIRE2020 will operate as a hub of repository usage statistics to the other article level metrics. Usage data will be collected in two ways: (1) by embedding tracking page tags in Open Access repositories which notify OpenAIREs gathering service of the usage events, and (2) (national) usage statistics aggregators (e.g. IRUS-UK) exposing consolidated statistics via SUSHI-Lite. The final outcome is an OpenAIRE service for tracking, collection, cleaning, analysis, evaluation and COUNTER-compliant reporting of the usage data. The poster will describe two aspects: 1) The potential of the OpenAIRE Usage Statistics service to explore a number of multidimensional scholarly performance indicators linking Open Access with social and economic impact. 2) Contributing as a Usage Statistics Hub to services aggregating article-level metrics. Acknowledgments: European Commission H2020, Contract (GA) n.: 643410, OpenAIRE2020

Report on the First Workshop on Linking and Contextualizing Publications and Datasets

Contemporary scholarly communication is undergoing a paradigm shift, which in some ways echoes the one from the start of the Digital Era, when publications moved to a digital form. There are multiple reasons for this change, and three prominent ones are: (i) emergence of data-intensive science (Jim Gray’s Fourth Paradigm), (ii) evolving reading patterns in modern science, and (iii) increasing heterogeneity of research communication practices (and technologies). Motivated by e-Science methodologies and dataintensive science, contemporary scientists are increasingly embracing new data-centric ways of conceptualizing, organizing and carrying out their research activities. Such paradigm shift strongly affects the way scholarly communication is conducted, promoting datasets as first class citizen of the scientific dissemination. Scientific communities are eagerly investigating and devising solutions for scientists to publish their raw and secondary datasets – e.g. sensor data, tables, charts, questionnaires – to enable: (i) discovery and re-use of datasets and (ii) rewarding the scientists who produced the datasets after often meticulous and time-consuming e↵orts. Data publishing is still not a reality in many communities, while for others it has already solidified into procedures and policies. Due to the ability to have immediate Web access to all published material, be them publications or datasets, scientists are today faced with a daily wave of new potentially relevant research results. Several solutions have been devised to go beyond the simple digital article and facilitate the identification of relevant and quality material. Approaches aim at enriching publications with semantic tags, quality evaluations, feedbacks, pointers to authority files (for example persistent identifiers of authors, a liation, and funding) or links to other research material. Such trends find their motivations not only from the need of scientists to share a richer perspective of research outcome, but also from traditional and novel needs of research organisations and funding agencies to: (i) measure research impact in order to assess and reward their initiatives, e.g. research outcome must be linked to a liations, authorships, and grants, and (ii) guarantee the results of public research is made available as interlinked and contextualized Open Access material, e.g. research datasets are interlinked to related publications and made available via online data repositories and publication repositories. The most prominent example of such requirements is provided by the European Commission with the Open Access mandates for publications and data in Horizon2020. Finally, researchers rely on di↵erent technologies and systems to deposit and preserve their research outcome and their contextual information. Datasets and publications are kept into data centres and institutional and thematic repositories together with descriptive metadata. Contextual information is scattered into other systems, for example CRIS systems for funding schemes and a liation, national and international initiatives and registries, such as ORCID and VIAF for authors and notable people in general. The construction of Modern Scholarly Communication Systems capable of collecting and assembling such information in a meaningful way has opened up several research challenges in the fields of Digital Library, e-Science, and e-Research. Solving the above challenges would foster multidisciplinarity, generate novel research opportunities, and endorse quality research. To this aim, sectors of scholarly communication and digital libraries are investigating solutions for “interlinking” and “contextualizing” datasets and scientific publications. Such solutions span from publishing methodologies, processes, policies, to technical aspects involving