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.

Opportunities for Adopting Open Research Data in Learning Analytics

2021 ◽  
pp. 29-60
Author(s):  
Katarzyna Biernacka ◽  
Niels Pinkwart
Keyword(s):  
Learning Analytics ◽  
Open Data ◽  
Publishing Research ◽  
Open Science ◽  
Research Data ◽  
Research Institutions ◽  
Open Research ◽  
Main Emphasis ◽  
Published Research ◽  
Made In

The relevance of open research data is already acknowledged in many disciplines. Demanded by publishers, funders, and research institutions, the number of published research data increases every day. In learning analytics though, it seems that data are not sufficiently published and re-used. This chapter discusses some of the progress that the learning analytics community has made in shifting towards open practices, and it addresses the barriers that researchers in this discipline have to face. As an introduction, the movement and the term open science is explained. The importance of its principles is demonstrated before the main focus is put on open data. The main emphasis though lies in the question, Why are the advantages of publishing research data not capitalized on in the field of learning analytics? What are the barriers? The authors evaluate them, investigate their causes, and consider some potential ways for development in the future in the form of a toolkit and guidelines.

scholarly journals How open science helps researchers succeed

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Erin C McKiernan ◽  
Philip E Bourne ◽  
C Titus Brown ◽  
Stuart Buck ◽  
Amye Kenall ◽  
...  
Keyword(s):  
Open Access ◽  
Open Source ◽  
Open Data ◽  
Open Science ◽  
Review Literature ◽  
Research Practices ◽  
Media Attention ◽  
Open Research ◽  
Job Opportunities ◽  
Funding Opportunities

Open access, open data, open source and other open scholarship practices are growing in popularity and necessity. However, widespread adoption of these practices has not yet been achieved. One reason is that researchers are uncertain about how sharing their work will affect their careers. We review literature demonstrating that open research is associated with increases in citations, media attention, potential collaborators, job opportunities and funding opportunities. These findings are evidence that open research practices bring significant benefits to researchers relative to more traditional closed practices.

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 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 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 Open Research Data and Open Peer Review: Perceptions of a Medical and Health Sciences Community in Greece

Publications ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 14
Author(s):  
Eirini Delikoura ◽  
Dimitrios Kouis
Keyword(s):  
Peer Review ◽  
Evaluation System ◽  
Early Stage ◽  
Open Science ◽  
Health Sciences ◽  
Research Data ◽  
Stage Of Development ◽  
Open Research ◽  
Proper Training ◽  
To Receive

Recently significant initiatives have been launched for the dissemination of Open Access as part of the Open Science movement. Nevertheless, two other major pillars of Open Science such as Open Research Data (ORD) and Open Peer Review (OPR) are still in an early stage of development among the communities of researchers and stakeholders. The present study sought to unveil the perceptions of a medical and health sciences community about these issues. Through the investigation of researchers` attitudes, valuable conclusions can be drawn, especially in the field of medicine and health sciences, where an explosive growth of scientific publishing exists. A quantitative survey was conducted based on a structured questionnaire, with 179 valid responses. The participants in the survey agreed with the Open Peer Review principles. However, they ignored basic terms like FAIR (Findable, Accessible, Interoperable, and Reusable) and appeared incentivized to permit the exploitation of their data. Regarding Open Peer Review (OPR), participants expressed their agreement, implying their support for a trustworthy evaluation system. Conclusively, researchers need to receive proper training for both Open Research Data principles and Open Peer Review processes which combined with a reformed evaluation system will enable them to take full advantage of the opportunities that arise from the new scholarly publishing and communication landscape.

scholarly journals Critérios para avaliação de ferramentas para repositório conforme a Ciência Aberta

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Angélica Conceição Dias Miranda ◽  
Milton Shintaku ◽  
Simone Machado Firme
Keyword(s):  
Open Access ◽  
Evaluation Criteria ◽  
Open Data ◽  
Open Science ◽  
Scientific Production ◽  
Open File ◽  
Research Institutes ◽  
Criteria For Evaluation ◽  
Science Movement ◽  
Bibliographic Study

Resumo: Os repositórios têm se tornado comum nas universidades e institutos de pesquisa, como forma de ofertar acesso à produção científica e, com isso, dar visibilidade à instituição. Entretanto, em muitos casos ainda estão restritos aos conceitos do movimento do arquivo aberto e acesso aberto, sendo que já se discute o Movimento da Ciência Aberta, revelando certo descompasso, requerendo estudos que apoiem a atualização dessa importante ferramenta. Nesse sentido, o presente estudo verifica os requisitos envolvidos nos movimentos abertos, de forma a apoiar a discussão técnica e tecnológica. Um estudo bibliográfico, que transforma as informações sobre os movimentos em critérios para avaliação de ferramentas para criação de repositórios, apresentando a implementação da interação como um novo desafio. Nas considerações procura-se contribuir com a discussão sobre a Ciência Aberta, de forma mais aplicada bem como o ajuste dos repositórios a esse movimento.Palavras-chave: Repositórios.  Critérios de avaliação. Arquivo aberto. Acesso aberto. Dados abertos. Ciência aberta.SURVEY OF CRITERIA FOR EVALUATION OF REPOSITORY TOOLS ACCORDING TO OPEN SCIENCE Abstract: Repositories have become common in universities and research institutes, as a way of offering access to scientific production, thereby giving visibility to the institution. Meanwhile, in many cases, repositories are restricted to the concepts of open movement and open access considering that the Open Science Movement is already being discussed. Regarding this matter, this study verifies the requirements involved in the open movements, in order to support a technical and technological discussion.  A bibliographic study that transforms information about movements into criteria to evaluate tools used to create repositories, presenting an implementation of interaction as a new challenge. In the considerations, we contribute with a discussion about an Open Science, in a more applied way, as well as the adjustment of the repositories to this movement.Keywords: Repositories. Evaluation Criteria. Open File. Open Access. Open Data. Open Science.

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