Welcome to P15 Virtual Poster Session

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Total Displaying: 32

Title submitted by Poster Abstract ATTACHMENT
AGATE: A CRIS on the Way to Europe Frederic von Vlahovits The interlinking and FAIRness of research information and data is - more than ever before - one of the most important challenges that must be tackled nowadays in order
Presenting my research – neuroscience & my interest in RDA Marta Balog Since I am new to the RDA network, I wanted to present my reserach are, which is neuroscience. I am working as a postdoctoral researcher and senior teaching assistant at Faculty of Medicine, Osijek, Croata. My research interests are chronic stress, neurodegeneration and sex specific differences in neuronal and metabolic diseases. 
RDA in Australia - help us improve! Stefanie Kethers The Research Data Alliance (RDA) was launched as a community-driven initiative in 2013 with the Australian Government’s Department of Innovation as one of the founding funders. Since then, RDA members from Australians have been involved in the RDA governance boards, represented organisational members, co-chaired many RDA Working and Interest Groups, and adopted RDA Outputs. In the lead-up to Plenary 15, the number of Australian RDA members grew by about 140 members between October 2019 and early March 2020, and continues to grow.   
Microbes and Policy Caterina Tomulescu Microorganisms represent an important component of biodiversity, and there is a need to integrate the corresponding data in the future objectives highlighted by RDA and Biodiversity Data Integration interest group. Microbial biotechnology provides innovations for sustainable development, for human and animal health. Global microbial catalogues are available and culture collections offer a variety of services, technologies and bioproducts which are good alternatives to replace the harmful/chemical existing ones in the market.
RDMeasurement – Development of a quality assurance model for Research Data Management (RDM) in the Humanities Patrick Helling This poster briefly describes my PhD-project, which focuses on the abstract modeling of RDM needs and services within the Arts and Humanities. I am developing a protocol-template for RDM consultations, identifying categories of RDM demands and developing a formal language to describe RDM.
The Missing Data - The Relationship Between Legal Requirements and Open Research Data Katarzyna Biernacka Researchers have to deal with many questions and doubts when it comes to the publication of research data. In particular regarding the presumed conflict between handling of research data and the issues of data privacy. The research presented here aims to investigate this conflict and to identify and test solutions, talking into account both differences between disciplines and between cultural perspectives.
The Use of A Data Repository in Soundscape Monitoring and Ecological Assessment Wong Chia-Hsun We will provide an overview of depositar which is a research data repository built on top of CKAN, an open source software package originally developed for publishing open (government) data. Several features have been added to depositar to better support the deposit, curation, and exploration of research datasets.
Interoperable Data Archiving and Migration Using the RDRI Working Group Recommendations James Myers The RDA’s Research Data Repository Interoperability (RDRI) Working Group has proposed recommendations (https://www.rd-alliance.org/group/research-data-repository-interoperability-wg/outcomes/research-data-repository-0) based on existing standards for the packaging richly annotated datasets for archiving and exchange.
EPISA project: a FAIR path to semantic archives at the Portuguese National Archives Maria Jose de Almeida The EPISA project (Entity and Property Inference for Semantic Archives) is part of the ongoing renewal of DGLAB’s existing data infrastructure and aims, amongst other goals, to develop a prototype for an open-source knowledge graph platform adopting a new data model for archival description. Content integration is among its key features, as we intend to create a flexible data model that can both interoperate with other information systems and accommodate information regarding cultural resources other than archival documents.
A data curator´s workflow to engage researchers in RDM: Results from 13 multi-domain data description sessions João Aguiar Castro The application of the so-called FAIR principles highly depends on rich metadata, yet domain vocabularies are still mostly underused in several disciplines. This means that there are many data reuse opportunities missed due to the lack of engagement of researchers in data description.
Epic Fails: Learning from the Past to Do Better in the Future Kerstin Lehnert In research we tend to only present on and/or publish our successes as they are so integral to our career progression. Yet not everything we attempt is successful: no matter how hard we try, some of our research and developments fails. Projects that develop research data infrastructure are often prone to a higher risk of failure, as technology is changing so rapidly and unpredictably, whilst the change of research culture is slow. Edwards et al.
STELLA: A Framework for Reproducibility and Evaluation of Online Search Experiments Leyla Jael Castro STELLA next event: CLEF 2020 – LILAS workshop https://clef-lilas.github.io/  
FAIR Research Data Management plans for Open Science Leyla Jael Castro Our next event DaMaLOS: https://zbmed.github.io/damalos/ First virtual workshop on research objects managament for linked open science, Nov. 2-3, 2020  
The Helmholtz Earth and Environment Data Hub – connecting people and integrating data infrastructures for Earth System Sciences Sören Lorenz The research field Earth and Environment (E&E) of the German Helmholtz Association, which consists of seven Helmholtz centres, has launched a Data Hub initiative. The Data Hub integrates the diverse data repositories and data management infrastructures along with their cross-sectional fields in an open, networked infrastructure. All E&E centres are working together towards a joint, yet distributed infrastructure, organised in three sub-hubs (ATMO, MARE, TERRA), to connect the E&E centres and their stakeholders even better.
Raising FAIRness in health data and health research performing organisations Shanmugasundaram Venkataraman FAIRification of data has become a pressing concern for many researchers, whether retrospectively or prospectively. While the focus initially was on reserach from the life sciences, later spreading across all domains of research, health research data has complications due to patient confidentiality and other related factors (like ethical, legal and technical barriers). Here we present a proposal to address FAIR adoption disparities across the world through engagement and participation of the RDA community and beyond.
Apply the RDA recommendations to Portuguese research groups Jéssica Alexandra Barbosa RDA-pt, the Portuguese node of the RDA, started in February 2019 supported by RDA-4, the European plugin to RDA. The vision of RDA-pt is that researchers, institutions and the Foundation for Science and Technology (FCT) define data management practices, choose technologies and use the infrastructure network to access, preserve and share data. The mission of RDA-pt is to build a community of interest in open data, disseminating it, proposing technical solutions and following cases in several disciplines. 
The Helmholtz Metadata Collaboration (HMC) – addressing the metadata problem Sören Lorenz The Helmholtz Association of German Research Centres and its international partners produce and exchange outstanding research data permanently. The efficiency and effect of research can be improved by a powerful and future-oriented research data management. It preserves research results in the long term and increases confidence in the data through the reproducibility of those results.
Materials metadata: as a custom schema, as directories, or in a data package Asahiko Matsuda In implementing domain-specific metadata into our materials data platform, we have been exploring three approaches. 1) A JSON Schema to cover our use cases, which allowed us to have a standard format for all of our systems. 2) A system based on pre-defined directory hierarchies, which enjoy the ease of use for the researchers but not much flexibility. 3) A domain-specific extension to Schema.org, which can be promising and is one of our focus areas to explore in 2020.
A FAIR share of crystallographic data: 17+ years of the Crystallography Open Database Saulius Gražulis The Crystallography Open Database (COD) is set to make all published small molecule and mineral crystal structures available under FAIR principles. Having been on-line for 17 years, the COD has collected over 450000 records of crystal strcutures in a standardised, machine-readable format. The poster discusses the ways such scientific databases can be built and addresses some difficulties in encountered currently in data sharing.   Click on the poster image to enlarge 
ReefTEMPS, Network of coastal oceanic sensors, Open access data portal Sylvie Fiat ReefTEMPS is a network of coastal oceanic sensors in the Pacific islands. These sensors record seven physical parameters, including temperature, pressure and salinity [1]. It is part of the French national research infrastructure for coastal ocean and nearshore observations named ILICO [2]. Since 2020, it is labeled as a French National Observation Service (SNO). Some of the network’s sensors have been deployed for over 40 years. Nearly hundred sensors are actually deployed in 14 countries covering an area of more than 8000 km from East to West.
Curating Historical Statistics Data on Baltic Countries in 1897-1939: Providing Data with Rich Metadata Vaidas Morkevičius With the expansion of information and communication technologies and the more recent onslaught of ever-increasing computer power and big data, the research community started focusing its attention on collecting and analyzing wast amounts of textual, numeric and visual data available in the social media, business processes, health records etc. At the same time interest in other types of data waned somewhat. To a certain extent this also applies to the collections of historical data.
Open Data Culture: Sustaining organisational support for open data programs Bernadette Hyland-Wood The international research community makes use of a tremendous amount of open data funded and published by government sources. Open government data serves to inform many important areas of research and public policy impacting agriculture, adaptation to climate change, energy, natural resource management, and responses to natural disasters.
Implementing FAIR in data sharing: who are the stakeholders and what are their responsibilities? Romain DAVID Despite the fact that the implementation of the FAIR principles (Findable, Accessible, Reusable, Interoperable) has become necessary in new research projects to meet the requirements of funding organisations and respond to some funders calls, many institutions do not consider data sharing through implementation of the FAIR principles as a research output, when evaluating researchers.
A field guide to: data driving by and flying high Freyja van den Boom Virtual poster session: Monday 6 April - Thursday 9 April. Collection, use and sharing of data from devices for research purposes Preliminary Results from case studies on vehicle and drone data.
FAIRness in Air Quality and Weather Forecast Amirpasha Mozaffari FAIRness in the multi-service data infrastructure of the Tropospheric Ozone Assessment Report (TOAR) and Artificial Intelligence for Air Quality (IntelliAQ) project  
Supporting research data management and use of FAIR principles in citizen science projects by university libraries Jitka Stilund Hansen AIM This project aims to identify and communicate good practices in research data management (RDM) of citizen science (CS) projects. The project is a part of a collaboration between Danish university libraries and researchers about our role in supporting and promoting CS projects and in implementing the FAIR principles in CS projects.
Data, data everywhere…and yet nowhere. RDM for HDRs Tricia Kelly University eResearch and Library teams deliver research data management (RDM) support for higher degree research (HDR) students throughout the research cycle. Researchers are expected to securely store and share their data to achieve their research goals within their project’s ethics approval. The eResearch and Library teams raise awareness and train researchers on ownership, attribution and publication of research data sets.
Organizing data folders with #5SDATA method Tanja Lindholm To improve researchers' work efficiency, it is good to have a clear data management strategy and data files well organized. In the #5SData campaign and Data Cleaning Week the data support team of the University of Helsinki gathered tips on how to organize files based on a lean 5S method. In this poster we introduce the 5SData method and the Data Cleaning Week campaign in the University of Helsinki. Campaign took place on December 2019 in all campuses and virtual networks of the University of Helsinki.
Data Reviews Online Nicholas May Data Reviews Online (Dareon) is a web application for managing the selection of submissions to data repositories.
New integrations and improved visualisation for imaging data published in GigaDB Nicole Nogoy GigaDB (http://Gigadb.org)  is an open data hosting platform integrated with the open science journal, GigaScience - both of which implement the FAIR (Findable, Accessible, Interoperable and Reusable) principles. It is a curated database with a focus on data and informatics tool reuse. To foster this, our curators engage with GigaScience authors in order to make all the raw and intermediary data, computational tools and data processing pipelines described in the papers available, and where possible, executable on an informatics platform.
Data Stewardship Wizard Rob Hooft We present the latest state of our tool, the Data Stewardship Wizard.
LANDRS: Linked And Networked DRoneS Jane Wyngaard The rapid growth in use of drones for scientific data capture is leading to exciting new avenues for research.  Much of this growth is being driven by researchers and institutions that do not traditionally provide large scale dedicated remote sensing data management infrastructure leaving researchers to self deploy in-house solutions.   At the same time the Semantic Web technology stack, and machine-to-machine API driven application development particularly have matured making everything from data publication, through cloud resource deployment, and use of remote models automatable.