“We are looking for a research data management specialist (data steward) with an enterprising and customer-oriented attitude, who will shape RDM support to the university’s researchers. You will support researchers in addressing internal and external requirements with regards to RDM, applying FAIR principles to research data, and so contribute to reuse and reproducibility of research. Your work will cover a broad scope of topics, which vary from assistance in RDM planning, advice on storage, archiving and publication of research data, handling privacy-sensitive data, policy making, to providing and developing training in RDM skills. You will serve as first line of support for privacy-related matters, working closely with the Privacy team and performing the first assessment of the privacy compliance in research projects….”
“The goal of librarians is to run services that meet the needs of users.
For Research Data Management (RDM) this means understanding researchers’ activities, motives, perceptions and feelings around their research and their data. This online course explains how to find out about users and their needs and then to apply this knowledge to create a portfolio of research data services that they will want to use . …”
Abstract: Data management, which encompasses activities and strategies related to the storage, organization, and description of data and other research materials, helps ensure the usability of datasets — both for the original research team and for others. When contextualized as part of a research workflow, data management practices can provide an avenue for promoting other practices, including those related to reproducibility and those that fall under the umbrella of open science. Not all research data needs to be shared, but all should be well managed to establish a record of the research process.
The European Parliament’s directive on open data indicates the direction to follow for all public institutions in Europe. The portal Polish Platform of Medical Research (PPM) required more information about researcher attitudes and training requirements for strategic planning.
The aim was to assess (1) the status of knowledge about research data management among medical researchers in Poland, and (2) their attitudes towards data sharing. This knowledge may help to inform a training program and adapt PPM to the requirements of researchers.
The authors circulated an online survey and received responses from 603 researchers representing medical sciences and related disciplines. The survey was conducted in 2019 at seven Polish medical universities and at the Nofer Institute of Occupational Medicine. Analysis used descriptive statistics.
Data sharing was not widespread (55.7% only shared with their research team, 9.8% had shared data on an open access basis). Many cited possible benefits of research data sharing but were concerned about drawbacks (e.g. fraud, plagiarism).
Polish medical scientists, like many researchers, are not aware of the processes required for safe data preparation for sharing. Academic libraries should develop roles for data librarians to help train researchers.
Fears about the dangers of data sharing need to be overcome before researchers are willing to share their own research data.
“DataCite was founded in 2009 on the principle of being an open stakeholder governed community that is open to participation from organizations around the world. Today, that continues to be true. Although our services have expanded, we continue to remain grounded to our roots. DataCite’s umbrella was formed with the aim to safeguard common standards worldwide to support research, thereby facilitating compliance with the rules of good scientific practice. DataCite’s identifier registration, Data File, and services are foundational components of the scholarly ecosystem. As the ecosystem continues to evolve, governance, sustainability and living-will insurance have become increasingly important components of the open infrastructure.
Recently several open scholarly infrastructure organizations and initiatives have adopted The Principles of Open Scholarly Infrastructure. DataCite has conducted its own audit against the principles and would like to affirm our commitment to upholding these….”
Abstract: Citizen science (CS) projects are part of a new era of data aggregation and harmonisation that facilitates interconnections between different datasets. Increasing the value and reuse of CS data has received growing attention with the appearance of the FAIR principles and systematic research data management (RDM) practises, which are often promoted by university libraries. However, RDM initiatives in CS appear diversified and if CS have special needs in terms of RDM is unclear. Therefore, the aim of this article is firstly to identify RDM challenges for CS projects and secondly, to discuss how university libraries may support any such challenges.
A scoping review and a case study of Danish CS projects were performed to identify RDM challenges. 48 articles were selected for data extraction. Four academic project leaders were interviewed about RDM practices in their CS projects.
Challenges and recommendations identified in the review and case study are often not specific for CS. However, finding CS data, engaging specific populations, attributing volunteers and handling sensitive data including health data are some of the challenges requiring special attention by CS project managers. Scientific requirements or national practices do not always encompass the nature of CS projects.
Based on the identified challenges, it is recommended that university libraries focus their services on 1) identifying legal and ethical issues that the project managers should be aware of in their projects, 2) elaborating these issues in a Terms of Participation that also specifies data handling and sharing to the citizen scientist, and 3) motivating the project manager to good data handling practises. Adhering to the FAIR principles and good RDM practices in CS projects will continuously secure contextualisation and data quality. High data quality increases the value and reuse of the data and, therefore, the empowerment of the citizen scientists.
As a Consultant, you work proactively within the various networks and communities in the field of FAIR research data. Researchers are part of interdisciplinary communities where it is common practice to collect, analyze, share, find and store data together in a systematic way. Good data management, based on the FAIR principles, is indispensable here. As a Consultant FAIR research data, you implement services organized by the University Library: you inform, advise and train researchers, research groups, and faculties across disciplines in data management, during the various stages of research. You will also participate in projects to further expand or optimize services in the field of research data. A specific part of your duties is the role of community manager, a pivotal function for current and future data specialists within the UU. As a spider in the web, you ensure a continuous and varied program for and by researchers, data support staff, and students. Examples include organizing the introduction program for new UU employees in this area and data community meetings. You take the lead, keep your eyes open for new initiatives, ensure good organization, enthuse and connect people. You work closely with colleagues within other support services such as Information & Technology Services (ITS). The Consultant FAIR research data is part of Research Data Management (RDM) Support, a multidisciplinary network of data experts within the University and University Medical Center Utrecht, see also Research Data Management Support – Universiteit Utrecht.
Bertacchini, Veronica, Drago, Federico, Flicker, Katharina, Gebreyesus, Netsanet, Grant, Annabel, Jones, Bob, Liinamaa, Iiris, Märkälä, Anu, Marinos-Kouris, Christos, Meerman, Bert, Saurugger, Bernd, & Smith, Zachary. (2021). EOSC Symposium 2021 Report. Zenodo. https://doi.org/10.5281/zenodo.5176089
The EOSC Symposium 2021 provided a key engagement opportunity for the EOSC community after the European Open Science Cloud finally entered its highly-anticipated implementation phase in 2021. Delivered online to just under 1,000 EOSC stakeholders from over 63 different countries, this was not only the largest EOSC Symposium yet, but it was also an essential opportunity for convergence and alignment on principles and priorities.
The EOSC Association will play an important role in this phase. With already over 210 member and observer organisations from across Europe, the Association represents a single voice for the advocacy and representation of the broader EOSC Stakeholder community in Europe, promoting alignment of EU research policy and priorities.
The Association will continuously develop the EOSC Strategic Research and Innovation Agenda (SRIA) which will influence future EOSC activities at institutional, national and EU level (including the EOSC-related work programmes in Horizon Europe). This living document will adapt to the changing EOSC ecosystem and the needs of EOSC stakeholders. The Association is setting up a series of Advisory Groups (AG) with Task Forces (TF) to engage with the EOSC community around priority areas, namely:
Implementation of EOSC
Metadata and Data Quality
Research Careers and Curricula
Technical Challenges on EOSC
The Symposium was the first opportunity for the Association to present the draft charters of the Task Forces. A key objective of the event was also for the Association to understand what work has been carried out, is in progress, or is planned on the topics of the AGs and TFs. A call for contributions ran throughout May 2021, with a total of 137 applications received. Through presentations, lightning talks, and panels, over 70 community members were able to highlight key findings and recommendations for the AGs and TFs to take into consideration for their work.
The Research Data College has set up a working group on the link between publications and research data. The aim is to contribute to the implementation of the Second Commitment of National Plan For Open Science.
EU Press Release, June 28, 2021:
The Commission has today adopted two adequacy decisions for the United Kingdom – one under the General Data Protection Regulation (GDPR) and the other for the Law Enforcement Directive. Personal data can now flow freely from the European Union to the United Kingdom where it benefits from an essentially equivalent level of protection to that guaranteed under EU law. The adequacy decisions also facilitate the correct implementation of the EU-UK Trade and Cooperation Agreement, which foresees the exchange of personal information, for example for cooperation on judicial matters. Both adequacy decisions include strong safeguards in case of future divergence such as a ‘sunset clause’, which limits the duration of adequacy to four years.
The virtual 6th meeting of COAR Asia OA will be held 25-27 October 2021. The meeting will discuss the latest trends in open access and open scholarship, with community updates from Asia. Topics include open access infrastructure, open educational resources, open peer review, research data repositories, and tools built on open data. The meeting will be a venue for information exchange between Asian communities.
DataCite is looking for a Project Lead to manage a global Open Science project with partners across Europe and the United States. The role is funded by the ??Templeton World Charity Foundation, Inc.
DataCite is a leading global non-profit organisation that provides persistent identifiers (DOIs) for research. DataCite was founded in 2009 to support the research community in identifying, locating, accessing, and citing research outputs with confidence. DataCite develops services that enable easier access to research and provide a way for researchers to share and get credit for the outputs they generate.
DataCite and partners recently received funding from the Templeton World Charity Foundation to carry out a project on ‘Implementing FAIR Workflows: a proof of concept study in the field of consciousness’. In this role, you would be leading this exciting project, showing implementation of FAIR workflows in practice.
Formally published papers that have been through a traditional peer review and editorial process remain the most important means of communicating science today. A major obstacle is that current research articles provide only a fraction of the information required to fully evaluate a scientific study. Most of the time, there is no underlying information available and no mechanism to easily link to the experimental design, the research data, and the analytical tools that were used to generate the reported outcomes. This challenge prevents the research community from being able to fully understand the results of the research, to replicate its results, and to decisively evaluate,and reuse existing research. Availability of the different outputs of a research project would enable reuse of data and software in order to aggregate findings across studies to evaluate discoveries in the field, and ultimately to assess and accelerate progress.
As a consequence, there is currently a big push to make science Open and FAIR to increase reproducibility and reusability of scientific results. Recognizing the importance of better management of research entities has led to critical advances concerning development of infrastructure for preregistration of studies, data repository platforms, standards for data sharing and ontologies.
The project seeks to contribute to these developments by providing an exemplar workflow which will take the concept of making one’s research FAIR and open, and will provide a concrete example and implementation based on the reality of an entire research investigation lifecycle. In doing so, this will test the challenges of the research team, the time investments, the availability of the metadata and tools needed to ensure FAIR research outputs, and the ability of a dashboard to meaningfully contribute to the research workflow and the impact of research outputs. For FAIR workflows to become standard for all researchers, they will need to have examples, that are easy to implement, of how to make their research outputs FAIR and open, and this project will be impactful as a demonstration.
The Project Lead has the overall day to day responsibility of the project and reports directly to the Project Director. The core responsibilities of the Project Lead include:
Coordination between project partners
Development and documentation of the end-to-end workflow
Close alignment with research group to establish use cases
Stakeholder engagement to verify use cases and solutions
Communication of FAIR workflows and Open Science best practices
Management of grant deliverables and milestones
Required skills and qualifications
University degree, preferably a PhD degree in a field related to Neuroscience or Open Science
Experience with Open Science practices and a good understanding of research workflows
Project management skills
Interest in PIDs and metadata
Experience working in an international environment
Strong English language skills are required; it would be beneficial if the candidate also speaks one of the following languages: Arabic, Chinese, French, Japanese, Russian, or Spanish
Planning and organizational skills
Comfortable working remotely
Occasional travel could be part of the job
This is a fixed-term contract for 3 years – the duration of the grant. Based on performance and upcoming projects, there may be an opportunity to transition to a permanent contract.
Why work for us
Competitive local salary.
30 days vacation time annually, plus 1 day paid extra for volunteer work of your choice.
Flexible working hours.
Option to work in a co-working space with a paid contribution from us.
Opportunity to learn something new every day.
Please send a resume and statement of interest to Helena Cousijn [
Nat Friedman on Twitter:
“We’ve just added built-in citation support to GitHub so researchers and scientists can more easily receive acknowledgments for their contributions to software. Just push a CITATION.cff file and we’ll add a handy widget to the repo sidebar for you. Enjoy!”
Just push a CITATION.cff file and we’ll add a handy widget to the repo sidebar for you.
This guide will help you to learn how to make your code citable. It will take you step by step to archive your code using data and code archiving platform Zenodo and get a DOI for your code.
A series of introductory guides to different aspects of scholarly communications, and editable files so you can adjust the content to one’s own organisation’s needs.
A Guide to Publishing Research
A Guide to Sharing Your Research Online
A Guide to Research Data Management
A Guide to Copyright and Creative Commons in Research
A Guide to Open Access