scholarly journals Lessons Learnt from Engineering Science Projects Participating in the Horizon 2020 Open Research Data Pilot

Data ◽  
2021 ◽  
Vol 6 (9) ◽  
pp. 96
Author(s):  
Timothy Austin ◽  
Kyriaki Bei ◽  
Theodoros Efthymiadis ◽  
Elias P. Koumoulos
Keyword(s):  
Open Access ◽  
Best Practices ◽  
Data Management ◽  
Open Data ◽  
Research Programme ◽  
Research Data ◽  
Good Effect ◽  
Process Data ◽  
Horizon 2020 ◽  
Open Research

Trends in the sciences are indicative of data management becoming established as a feature of the mainstream research process. In this context, the European Commission introduced an Open Research Data pilot at the start of the Horizon 2020 research programme. This initiative followed the success of the Open Access pilot implemented in the prior (FP7) research programme, which thereafter became an integral component of Horizon 2020. While the Open Access phenomenon can reasonably be argued to be one of many instances of web technologies disrupting established business models (namely publication practices and workflows established over several centuries in the case of Open Access), initiatives designed to promote research data management have no established foundation on which to build. For Open Data to become a reality and, more importantly, to contribute to the scientific process, data management best practices and workflows are required. Furthermore, with the scientific community having operated to good effect in the absence of data management, there is a need to demonstrate the merits of data management. This circumstance is complicated by the lack of the necessary ICT infrastructures, especially interoperability standards, required to facilitate the seamless transfer, aggregation and analysis of research data. Any activity aiming to promote Open Data thus needs to overcome a number of cultural and technological challenges. It is in this context that this paper examines the data management activities and outcomes of a number of projects participating in the Horizon 2020 Open Research Data pilot. The result has been to identify a number of commonly encountered benefits and issues; to assess the utilisation of data management plans; and through the close examination of specific cases, to gain insights into obstacles to data management and potential solutions. Although primarily anecdotal and difficult to quantify, the experiences reported in this paper tend to favour developing data management best practices rather than doggedly pursue the Open Data mantra. While Open Data may prove valuable in certain circumstances, there is good reason to claim that managed access to scientific data of high inherent intellectual and financial value will prove more effective in driving knowledge discovery and innovation.

scholarly journals D8.1 Data Management Plan

2021 ◽  
Author(s):  
C. Soriano ◽  
R. Rossi ◽  
Q. Ayoul-Guilmard
Keyword(s):  
Open Access ◽  
Data Management ◽  
European Commission ◽  
Management Plan ◽  
Research Data ◽  
Scientific Publications ◽  
Horizon 2020 ◽  
Open Research ◽  
Data Program

The ExaQUte project participates in the Pilot on Open Research Data launched by the European Commission (EC) along with the H2020 program. This pilot is part of the Open Access to Scientific Publications and Research Data program in H2020. The goal of the program is to foster access to research data generated in H2020 projects. The use of a Data anagement Plan (DMP) is required for all projects participating in the Open Research Data Pilot, in which they will specify what data will be kept for the longer term. The underpinning idea is that Horizon 2020 beneficiaries have to make their research data findable, accessible, interoperable and re-usable (FAIR), to ensure it is soundly managed.

scholarly journals Research Data Management Implementation at Peking University Library: Foster and Promote Open Science and Open Data

2021 ◽  
Vol 3 (1) ◽  
pp. 189-204
Author(s):  
Hua Nie ◽  
Pengcheng Luo ◽  
Ping Fu
Keyword(s):  
Data Management ◽  
Open Data ◽  
Implementation Process ◽  
Open Science ◽  
Research Data ◽  
Data Repository ◽  
Research Data Management ◽  
University Library ◽  
Open Research ◽  
Peking University

Research Data Management (RDM) has become increasingly important for more and more academic institutions. Using the Peking University Open Research Data Repository (PKU-ORDR) project as an example, this paper will review a library-based university-wide open research data repository project and related RDM services implementation process including project kickoff, needs assessment, partnerships establishment, software investigation and selection, software customization, as well as data curation services and training. Through the review, some issues revealed during the stages of the implementation process are also discussed and addressed in the paper such as awareness of research data, demands from data providers and users, data policies and requirements from home institution, requirements from funding agencies and publishers, the collaboration between administrative units and libraries, and concerns from data providers and users. The significance of the study is that the paper shows an example of creating an Open Data repository and RDM services for other Chinese academic libraries planning to implement their RDM services for their home institutions. The authors of the paper have also observed since the PKU-ORDR and RDM services implemented in 2015, the Peking University Library (PKUL) has helped numerous researchers to support the entire research life cycle and enhanced Open Science (OS) practices on campus, as well as impacted the national OS movement in China through various national events and activities hosted by the PKUL.

scholarly journals Case Open UEF – To do together

2017 ◽  
Author(s):  
Kaisa Hartikainen ◽  
Tuula Rissanen
Keyword(s):  
Open Access ◽  
Data Management ◽  
Doctoral Students ◽  
Support Services ◽  
Open Science ◽  
Research Data ◽  
Ministry Of Education ◽  
Scientific Publications ◽  
Open Research ◽  
The University

At the University of Eastern Finland (UEF) Library, the national Open Science and Research initiative (2014–2017, Ministry of Education and Culture of Finland) triggered the planning and construction of open science related research support services. Planning of support services with themes of open access scholarly publishing, open research data and open study material began at full throttle at the UEF Library in November 2015. Information specialists were grouped into teams, which orientated to separate aspects of open science and shared their knowledge by training the whole library staff. Teamwork continued actively over the year 2016. Open science continuously brings new tasks for the Library and has already notably changed the job profiles of the library specialists.Advancing open science has been considered highly important not only at the library but also at the university level. UEF has offered resources e.g. by recruiting new information specialists and a data protection officer and internal auditor. UEF Library has a vital role in conducting open science but it is practiced in close collaboration with University Services, especially that of Development Services, General Administration and Legal Services and IT Services. Open Science team has landed the departments to share information and to discuss about open science practices at UEF. Nowadays these roadshows concerning UEF publishing and data policy, open access (OA) publishing as well as research data management and sharing are our focal operation.Work continues but the results can already be seen: In the OA ranking of research organisations in Finland (Ministry of Education and Culture of Finland), UEF has achieved level four in the five-level maturity model. Also, UEF researchers can order tailored training sessions about open research and support services from the diverse training menu offered by the Library. Updated Open UEF web pages are available for everyone and multi-channeled informing directed to UEF staff and students continues online. One concrete output from conducted open science and active campaigning about self-archiving is UEF institutional publication repository, UEF//eRepository, which was launched in February 2017. At the moment about 31% of UEF scientific publications are open access, but substantial increase is expected. The next big challenge in open research is data management and opening. UEF Library is starting to build a metadata portal for research data in order to conceive the data produced by UEF researchers and to help finding data for potential reuse.Open science will also be included in information retrieval studies of master's degree and doctoral students. To encourage students and teachers in OA publishing, during the international open access week, one student publishing master's thesis openly will be rewarded with a stipend by the Library. Department having the highest rate of OA master's theses will also be adorned with flowers.Open science is a matter of teamwork, committing and keeping up to date.

scholarly journals On the Complexities of Federating Research Data Infrastructures

2021 ◽  
Vol 3 (1) ◽  
pp. 79-87
Author(s):  
Atif Latif ◽  
Fidan Limani ◽  
Klaus Tochtermann
Keyword(s):  
Open Access ◽  
Data Management ◽  
Open Data ◽  
Open Science ◽  
Research Data ◽  
Open Educational Resources ◽  
Digital Resources ◽  
Different Types ◽  
Data Infrastructures ◽  
Metadata Mapping

Federated Research Data Infrastructures aim to provide seamless access to research data along with services to facilitate the researchers in performing their data management tasks. During our research on Open Science (OS), we have built cross-disciplinary federated infrastructures for different types of (open) digital resources: Open Data (OD), Open Educational Resources (OER), and open access documents. In each case, our approach targeted only the resource “metadata”. Based on this experience, we identified some challenges that we had to overcome again and again: lack of (i) harvesters, (ii) common metadata models and (iii) metadata mapping tools. In this paper, we report on the challenges we faced in the federated infrastructure projects we were involved with. We structure the report based on the three challenges listed above.

scholarly journals Data management plan

2021 ◽  
Author(s):  
J. García-Espinosa ◽  
C. Soriano
Keyword(s):  
Data Management ◽  
European Commission ◽  
Data Storage ◽  
Computational Models ◽  
Management Plan ◽  
Research Data ◽  
Horizon 2020 ◽  
Open Research ◽  
Technical Solutions ◽  
Term Data

This document presents the deliverable D8.1 – the Data Management Plan (DMP) of work package 8 of the prodPhD project. It aims to present the plan for the management, generation, collection, security, preservation and sharing of data generated through the prodPhD project. The DMP is a key element for organizing the project’s data. It provides an analysis of the data, which will be collected, processed and published by the prodPhD consortium. The project embraces the initiatives of the European Commission to promote the open access to research data, aiming to improve and maximize access to and reuse of research data generated by Horizon 2020 projects. In this sense prodPhD will adhere to the Open Research Data Pilot (ORD Pilot) fostered by the European Commission, and this DMP will be developed following the standards of data storage, access and management. This plan will detail what data will be generated through the project, whether and how it will be made accessible for the verification and reuse and how it will be curated and preserved. In this context, the term data applies to the information generated during the different experimental campaigns carried out in the project, and specifically to the data, including associated metadata, to be used to validate the computational models and the technical solutions to be developed in the project. This document is the first version of the DMP and may be updated throughout the project, if significant changes (new data, changes in consortium policies, changes in consortium composition, etc.) arise.

scholarly journals Crosswalk among Prominent Open Research Data Repositories

Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 60-67
Author(s):  
Dr.M. Krishnamurthy ◽  
Dr. Bhalachandra S. Deshpande ◽  
Dr.C. Sajana
Keyword(s):  
Open Access ◽  
Open Data ◽  
Research Data ◽  
Data Repositories ◽  
Digital Repositories ◽  
Open Research ◽  
Global Movement ◽  
Access To Knowledge ◽  
Metadata Harvesting ◽  
Data Upload

Open Access is a synergised global movement using Internet to provide equal access to knowledge that once hid behind the subscription paywalls. Many new models for scholarly communication have emerged in recent past. One among them is institutional or digital repositories which archive the scholarly content of an organization. While the concept of Open Access opened new arena for institutional or digital repositories in the form of Open repositories. Likewise, the Open repositories for Research Data Management (RDM) are initiative to organize, store, cite, preserve, and share the collected data derived from the research. There are many multidisciplinary and subject specific open repositories for RDM offering exquisite features for perpetual management of research data. The objective of the present study is to evaluate features of popular Open Data Repositories-Zenodo, FigShare, Harvard Dataverse and Mendeley Data. The evaluation provided insights about the key features of the selected Open Data Repositories and which enable us to select the best among them. Zenodo provides maximum data upload limit. While the major features required by a researcher like DOI, File Types, citation support, licenses, search (metadata harvesting) are provided by all three repositories.

scholarly journals Data Librarian and Data Steward – New Tasks and Responsibilities of Academic Libraries in the Context of Open Research Data Implementation in Poland

2019 ◽  
Vol 87 (4) ◽  
pp. 497-512
Author(s):  
Anna Wałek
Keyword(s):  
Open Access ◽  
Academic Libraries ◽  
Academic Staff ◽  
Research Data ◽  
Academic Librarians ◽  
Research Teams ◽  
Horizon 2020 ◽  
University Departments ◽  
Open Research ◽  
Access Policies

Thesis/Objective – The policy of Open Access (OA) for researching resources in Europe has been implemented for more than 10 years. The first recommendations concerning providing OA to scientific materials were defined during the implementation of the 7th Framework Programme. Introducing another set of recommendations concerning OA to research data was the next stage. The recommendations were transformed into obligations under the Horizon 2020 Programme. In 2018, research-funding institutions were associated in the Plan S document issued by CoalitionS ,which aims to accelerate the transition to full and immediate OA to publications from publicly funded research until January 2021. Academic libraries have always been pioneers in implementing OA to research, creating the necessary tools (platforms and repositories), and preparing training workshops for researchers. OA policy implementation, including both access to research resources and data, is accelerating. That is why the role of academic libraries and academic librarians has become crucial. The article presents how library services and the scope of tasks of their employees change in connection with the introduction of open access policies for research data in Poland. Research methods – A critical review of the literature was used to analyse the content of foreign and Polish LIS literature published in the years 2009-2019. In addition, official documents issued by the European Commission were analysed, as well as websites devoted to Open Research Data (ORD). Results and conclusions – Some new specialisations in librarianship have been introduced – e.g. a data librarian who is responsible not only for academic staff training sessions on Open Research Data, but also for assistance for research teams in the field of data management and data curation. In the future, academic libraries will be responsible for coordinating the work of data stewards responsible for supporting the process of research data creating and managing at university departments and in research teams.

scholarly journals Openness in Forschungsprojekten: PARTHENOS Standardization Survival Kit (SSK)

2019 ◽  
Vol 72 (2) ◽  
pp. 392-407
Author(s):  
Klaus Illmayer
Keyword(s):  
Open Access ◽  
Research Methods ◽  
Open Data ◽  
Horizon 2020 ◽  
Open Research

Die Umsetzung von Open Access und Open Data ist für Horizon 2020 Projekte, die von der Europäischen Kommission gefördert werden, obligat. Überlegungen zu Open Policies und Openness in den Wissenschaften stehen im Mittelpunkt dieses Berichtes, der auf Erfahrungen mit der Erstellung des Standardization Survival Kit (SSK) beruht. Das SSK wurde als ein Tool im Rahmen des Horizon 2020 geförderten Projektes PARTHENOS entwickelt. Daher wird zunächst die Data-Harvesting Plattform von PARTHENOS vorgestellt, um daran die Bedeutung von Openness und Standards zu erläutern. Nach einem Exkurs zu den FAIR Data Prinzipien wird das SSK-Tool beschrieben und wie dieses zu Openness beiträgt. Plädiert wird für eine Dokumentation von Open Workflows und Open Research Methods, wie es mittels dem SSK möglich ist.

scholarly journals Open Science in Österreich: Ansätze und Status

2015 ◽  
Vol 66 (2-3) ◽  
Author(s):  
Katrin Buschmann ◽  
Stefan Kasberger ◽  
Peter Kraker ◽  
Katja Mayer ◽  
Falk Reckling ◽  
...  
Keyword(s):  
Open Access ◽  
Open Data ◽  
Open Science ◽  
Research Data ◽  
Access Networks ◽  
Open Research

Insbesondere in den letzten zwei Jahren hat Österreich im Bereich Open Science, vor allem was Open Access und Open Data betrifft, nennenswerte Fortschritte gemacht. Die Gründung des Open Access Networks Austria (OANA) und das Anfang 2014 gestartete Projekt e-Infrastructures Austria können als wichtige Grundsteine für den Ausbau einer österreichischen Open-Science-Landschaft gesehen werden. Auch das österreichische Kapitel der Open Knowledge Foundation leistet in den Bereichen Open Science Praxis- und Bewusstseinsbildung grundlegende Arbeit. Unter anderem bilden diese Initiativen die Grundlage für den Aufbau einer nationalen Open-Access-Strategie sowie einer ganz Österreich abdeckenden Infrastruktur für Open Access und Open (Research) Data. Dieser Beitrag gibt einen Überblick über diese und ähnliche nationale sowie lokale Open-Science-Projekte und -Initiativen und einen Ausblick in die mögliche Zukunft von Open Science in Österreich.

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