scholarly journals How should we share research data?

2021 ◽  
Author(s):  
Ingrid Heggland ◽  
Jan Magnus Aronsen ◽  
Stein Tronstad ◽  
Ole Petter Pedersen
Keyword(s):  
Open Data ◽  
Open Science ◽  
Legal Aspects ◽  
Research Data ◽  
Reproducible Research ◽  
Final Report ◽  
Ministry Of Education ◽  
Publicly Funded ◽  
Scientific Publications ◽  
Set Up

One of the central aspects of Open Science is to make research outputs accessible. From Open Access to scientific publications, the perspective has widened to also include other results, such as research data. Open Data is an important part of ensuring reproducible research, as well as enabling reuse of research data. When making research data publicly available, a licence should be applied, describing restrictions and permissions for reuse. But how do you decide what licence to use for research data, to ensure that it is “As open as possible, as closed as necessary”? Who has the rights to research data in publicly funded research? What data should be published, and what data needs to be kept confidential? In 2020, the Ministry of Education and Research asked the Research Council of Norway and UNIT to set up a committee to examine issues related to rights and licensing of research data. In this presentation, members of the committee will highlight and discuss some of the recommendations in the final report. To ensure Open and FAIR research data, the legal aspects must be clarified. In addition, the committee has highlighted several other aspects that need to be addressed in order to achieve more sharing and reuse of research data, including funding incentives, infrastructure and tools, as well as resources and competence.

scholarly journals eLabFTW as an Open Science tool to improve the quality and translation of preclinical research

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 292
Author(s):  
Michael Hewera ◽  
Daniel Hänggi ◽  
Björn Gerlach ◽  
Ulf Dietrich Kahlert
Keyword(s):  
Data Management ◽  
Open Source ◽  
Academic Research ◽  
Open Data ◽  
Open Science ◽  
Research Data ◽  
Preclinical Research ◽  
Research Data Management ◽  
New Methods ◽  
Set Up

Reports of non-replicable research demand new methods of research data management. Electronic laboratory notebooks (ELNs) are suggested as tools to improve the documentation of research data and make them universally accessible. In a self-guided approach, we introduced the open-source ELN eLabFTW into our lab group and, after using it for a while, think it is a useful tool to overcome hurdles in ELN introduction by providing a combination of properties making it suitable for small preclinical labs, like ours. We set up our instance of eLabFTW, without any further programming needed. Our efforts to embrace open data approach by introducing an ELN fits well with other institutional organized ELN initiatives in academic research.

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 eLabFTW as an Open Science tool to improve the quality and translation of preclinical research

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 292
Author(s):  
Michael Hewera ◽  
Daniel Hänggi ◽  
Björn Gerlach ◽  
Ulf Dietrich Kahlert
Keyword(s):  
Life Science ◽  
Academic Research ◽  
Open Data ◽  
Open Science ◽  
Research Data ◽  
Preclinical Research ◽  
Data Quality Management ◽  
Research Data Management ◽  
New Methods ◽  
Set Up

Reports of non-replicable research demand new methods of research data management. Electronic laboratory notebooks (ELNs) are suggested as tools to improve the documentation of research data and make them universally accessible. In a self-guided approach, we introduced the open-source ELN eLabFTW into our life-science lab group and, after using it for a while, think it is a useful tool to overcome hurdles in ELN introduction by providing a combination of properties making it suitable for small life-sceience labs, like ours. We set up our instance of eLabFTW, without any further programming needed. Our efforts to embrace open data approach by introducing an ELN fits well with other institutional organized ELN initiatives in academic research and our goals towards data quality management.

scholarly journals eLabFTW as an Open Science tool to improve the quality and translation of preclinical research

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 292
Author(s):  
Michael Hewera ◽  
Daniel Hänggi ◽  
Björn Gerlach ◽  
Ulf Dietrich Kahlert
Keyword(s):  
Life Science ◽  
Academic Research ◽  
Open Data ◽  
Open Science ◽  
Research Data ◽  
Preclinical Research ◽  
Data Quality Management ◽  
New Methods ◽  
Science Labs ◽  
Set Up

Reports of non-replicable research demand new methods of research data management. Electronic laboratory notebooks (ELNs) are suggested as tools to improve the documentation of research data and make them universally accessible. In a self-guided approach, we introduced the open-source ELN eLabFTW into our life-science lab group and, after using it for a while, think it is a useful tool to overcome hurdles in ELN introduction by providing a combination of properties making it suitable for small life-science labs, like ours. We set up our instance of eLabFTW, without any further programming needed. Our efforts to embrace open data approach by introducing an ELN fits well with other institutional organized ELN initiatives in academic research and our goals towards data quality management.

scholarly journals Organising RDM and Open Science Services

2019 ◽  
Vol 14 (1) ◽  
pp. 180-193
Author(s):  
Anne Sunikka
Keyword(s):  
Open Data ◽  
Open Science ◽  
Open Access Publishing ◽  
Research Needs ◽  
Ministry Of Education ◽  
Training Material ◽  
Research Data Management ◽  
Changing Roles ◽  
Academic Personnel ◽  
And Training

This paper describes how the Finnish Ministry of Education and Culture launched an initiative on research data management and open data, open access publishing, and open and collaborative ways of working in 2014. Most of the universities and research institutions took part in the collaborative initiative building new tools and training material for the Finnish research needs. Measures taken by one university, Aalto University, are described in detail and analysed, and compared with the activities taking place in other universities. The focus of this paper is in the changing roles of experts at Aalto University, and organisational transformation that offers possibilities to serve academic personnel better. Various ways of building collaboration and arranging services are described, and their benefits and drawbacks are discussed.

scholarly journals The reproducibility challenge – what researchers need

2017 ◽  
Author(s):  
Federica Rosetta
Keyword(s):  
Scientific Discovery ◽  
Open Data ◽  
Science Research ◽  
Open Science ◽  
Research Data ◽  
Data Sets ◽  
Scientific Practices ◽  
Data Citation ◽  
Materials Used ◽  
High Level

Watch the VIDEO here.Within the Open Science discussions, the current call for “reproducibility” comes from the raising awareness that results as presented in research papers are not as easily reproducible as expected, or even contradicted those original results in some reproduction efforts. In this context, transparency and openness are seen as key components to facilitate good scientific practices, as well as scientific discovery. As a result, many funding agencies now require the deposit of research data sets, institutions improve the training on the application of statistical methods, and journals begin to mandate a high level of detail on the methods and materials used. How can researchers be supported and encouraged to provide that level of transparency? An important component is the underlying research data, which is currently often only partly available within the article. At Elsevier we have therefore been working on journal data guidelines which clearly explain to researchers when and how they are expected to make their research data available. Simultaneously, we have also developed the corresponding infrastructure to make it as easy as possible for researchers to share their data in a way that is appropriate in their field. To ensure researchers get credit for the work they do on managing and sharing data, all our journals support data citation in line with the FORCE11 data citation principles – a key step in the direction of ensuring that we address the lack of credits and incentives which emerged from the Open Data analysis (Open Data - the Researcher Perspective https://www.elsevier.com/about/open-science/research-data/open-data-report ) recently carried out by Elsevier together with CWTS. Finally, the presentation will also touch upon a number of initiatives to ensure the reproducibility of software, protocols and methods. With STAR methods, for instance, methods are submitted in a Structured, Transparent, Accessible Reporting format; this approach promotes rigor and robustness, and makes reporting easier for the author and replication easier for the reader.

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 Open Data in Qualitative Research

2019 ◽  
Vol 18 ◽  
pp. 160940691882386 ◽  
Author(s):  
Amelia Chauvette ◽  
Kara Schick-Makaroff ◽  
Anita E. Molzahn
Keyword(s):  
Qualitative Research ◽  
Ethical Issues ◽  
Secondary Analysis ◽  
Open Data ◽  
Research Data ◽  
Publicly Funded ◽  
Multiple Stakeholders ◽  
The World ◽  
Legal And Ethical Issues

There is a growing movement for research data to be accessed, used, and shared by multiple stakeholders for various purposes. The changing technological landscape makes it possible to digitally store data, creating opportunity to both share and reuse data anywhere in the world for later use. This movement is growing rapidly and becoming widely accepted as publicly funded agencies are mandating that researchers open their research data for sharing and reuse. While there are numerous advantages to use of open data, such as facilitating accountability and transparency, not all data are created equally. Accordingly, reusing data in qualitative research present some epistemological, methodological, legal, and ethical issues that must be addressed in the movement toward open data. We examine some of these challenges and make a case that some qualitative research data should not be reused in secondary analysis.

A Cloud-based Science Gateway for Enabling Science as a Service to Facilitate Open Science and Reproducible Research

2020 ◽  
Author(s):  
Mohan Ramamurthy
Keyword(s):  
Cloud Computing ◽  
Information Science ◽  
Virtual Machines ◽  
Scientific Discovery ◽  
Open Data ◽  
Open Science ◽  
Reproducible Research ◽  
Data Infrastructure ◽  
Science Gateway ◽  
Access To Data

<p>The geoscience disciplines are either gathering or generating data in ever-increasing volumes. To ensure that the science community and society reap the utmost benefits in research and societal applications from such rich and diverse data resources, there is a growing interest in broad-scale, open data sharing to foster myriad scientific endeavors. However, open access to data is not sufficient; research outputs must be reusable and reproducible to accelerate scientific discovery and catalyze innovation.</p><p>As part of its mission, Unidata, a geoscience cyberinfrastructure facility, has been developing and deploying data infrastructure and data-proximate scientific workflows and analysis tools using cloud computing technologies for accessing, analyzing, and visualizing geoscience data.</p><p>Specifically, Unidata has developed techniques that combine robust access to well-documented datasets with easy-to-use tools, using workflow technologies. In addition to fostering the adoption of technologies like pre-configured virtual machines through Docker containers and Jupyter notebooks, other computational and analytic methods are enabled via “Software as a Service” and “Data as a Service” techniques with the deployment of the Cloud IDV, AWIPS Servers, and the THREDDS Data Server in the cloud. The collective impact of these services and tools is to enable scientists to use the Unidata Science Gateway capabilities to not only conduct their research but also share and collaborate with other researchers and advance the intertwined goals of Reproducibility of Science and Open Science, and in the process, truly enabling “Science as a Service”.</p><p>Unidata has implemented the aforementioned services on the Unidata Science Gateway ((http://science-gateway.unidata.ucar.edu), which is hosted on the Jetstream cloud, a cloud-computing facility that is funded by the U. S. National Science Foundation. The aim is to give geoscientists an ecosystem that includes data, tools, models, workflows, and workspaces for collaboration and sharing of resources.</p><p>In this presentation, we will discuss our work to date in developing the Unidata Science Gateway and the hosted services therein, as well as our future directions toward increasing expectations from funders and scientific communities that they will be Open and FAIR (Findable, Accessible, Interoperable, Reusable). In particular, we will discuss how Unidata is advancing data and software transparency, open science, and reproducible research. We will share our experiences in how the geoscience and information science communities are using the data, tools and services provided through the Unidata Science Gateway to advance research and education in the geosciences.</p>

Making Policies for Open Data

2017 ◽  
Vol 42 (2) ◽  
pp. 320-324
Author(s):  
Sally Wyatt
Keyword(s):  
Science And Technology Studies ◽  
Research Policy ◽  
Open Data ◽  
Research Data ◽  
Final Report ◽  
Special Issue ◽  
International Policy ◽  
Short Commentary ◽  
Political Dimensions ◽  
Policy Forum

This short commentary reflects on policy making for open data. The articles in this special issue all raise interesting challenges and questions for research policy, broadly defined, including how to stimulate researchers to make data open in the first place, how to reuse data sensibly, and how to ensure data are appropriately stored and made accessible for future users. This commentary reflects on the author’s own experience of taking part in an international policy forum that was tasked with preparing a report about the importance of making research data open. The author describes how she attempted to ensure insights from science and technology studies—made by contributors to this special issue and many others in the field—were incorporated in the final report. She also describes how technologically determinist arguments were invoked to close down discussions about the political dimensions of open access to research data.

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