10:45am - 11:00amID: 112
/ 1.2: 1
The Radboud University Data Repository: digital preservation throughout the research lifecycle
Radboud University Library, Nijmegen, the Netherlands
At Radboud University a new tool has recently been developed and put into service to archive, publish and share digital research data acquired, processed, and analysed by researchers of the University. This novel repository is named the Radboud University Data Repository.
To serve researchers throughout the research lifecycle, the mission of the repository is threefold:
- To offer long-term internal data preservation for internal re-use
- To offer long-term internal data preservation for reproducibility and scientific integrity
- To offer FAIR open access data sharing with the external scientific community
The repository allows researchers to archive their data into three types of data collections, collectively corresponding to a single research project. Raw, unprocessed data of the project are preserved in Data Acquisition Collections (DACs). The research process is documented in Research Documentation Collections (RDCs). Data on which a scientific publication is based are stored and publicly shared in Data Sharing Collections (DSCs), which stimulate FAIR data preservation. The collection types serve the goals of long-term internal data preservation for re-use, reproducibility, and scientific integrity (DACs and RDCs) and of FAIR open access data sharing with the external scientific community (DSCs).
The <our organisation> Data Repository is suitable for daily data handling and researchers can collaborate on their data with colleagues from inside and outside of the university by extensive role-based access management. When a data collection is complete, it can be archived (DACs and RDCs) or published (DSCs). Access to published DSCs can be managed by the researcher based on a wide variety of Data Use Agreements. All data collections are made findable by metadata indexing in a searchable resource, the assignment of a persistent identifier (DOI), and the availability of rich metadata fields.
The repository was launched in January 2021. By now (November 2021) it contains 64 data collections. A survey will be used to evaluate user satisfaction.
With the launch of the RDR, <our organisation> now has a tool available that promotes FAIR research data and enhances the impact of its research.
Human Touch (Recommended)
Without having to spend a lot of time on research data management, researchers of <our organisation> can now easily archive or publicly share their research data, enhancing the impact and reproducibility of their research.
Biography and Bibliography
After the successful defense of my PhD thesis in February 2021, I started working as a research data management specialist at Radboud University Nijmegen, the Netherlands. I work as a data steward and product owner of the University’s institutional repository: the Radboud Data Repository. Our repository has been in use since January of this year. A large part of my daily activities consists of communicating with researchers, data stewards, research data management specialists, data architects, and developers to incorporate their feedback and insights in order to maximize the value of our repository. My background is in biology, with a master’s degree in the Molecular Mechanisms of Disease (research master at Radboud University) and a PhD in neuroscience/biophysics at the Scuola Normale Superiore di Pisa, Italy. My research activities taught me about epilepsy, electrophysiology, in vivo imaging, and writing data analysis software, but also about the importance of re-usability and reproducibility of research data. I am happy that in my new position as Data Steward and product owner of the RDR I can help to make the research process more efficient.
11:00am - 11:15amID: 147
/ 1.2: 2
Implementing new tool during the pandemic distance work - case REDCap
Helsinki University Library, Terkko Medical Campus Library, Finland
Introduction: REDCap is a tool for capturing research data, also sensitive and personal data. It was created in 2004 at Vanderbilt University (USA) and is now widely used all over the world. University of Helsinki got REDCap license in 2020 and the tool was launched for customer use in 2021.
Aim: We describe the process of learning REDCap and starting the user education, all this during the pandemic distance work. How to communicate effectively, learn both together and independently, keep up the good spirit and sense of community and work intensively, with still enough time to breath and rest? The focus is on the individual information specialist point of view.
The initial REDCap admin team included 5 persons; 3 from the library and 2 from the IT-center. The system is owned by the library. REDCap was licensed in 2020 and launched to customers in 2021. The user support started with information campaign, webinar sessions and establishing REDCap-support-email. The first webinars were given from the survey data point of view, with good feedback.
However, we soon discovered the need for webinars specializing to the clinical research data point of view. It was decided that Terkko information specialist gives these webinars, with the support of research data team members. This started intensive learning – both for the REDCap tool and for deeper understanding of the clinical research process. In October 2021 the first two webinars of “REDCap – clinical data” were given and since that we have collectively supported the customers with their REDCap projects. One of the Terkko information specialists is now on the admin team of REDCap.
From the individual information specialist point of view, the key things to make this happen were 1) Great support from colleagues and learning together 2) Strong motivation: we were very happy to get REDCap available for our customers. 3) Deadlines: “test webinar” given to colleagues, right after the summer holidays, gave good structure for working 4) Very generous sharing of information also form other organizations; e.g. an experienced REDCap-user and biostatistician from the University of Turku giving us a “private” webinar session 5) Active utilization of excellent REDCap webinars from YouTube – thanks to the distance work there were lot of good webinars available 6) Change to make stupid questions 7) Aiming to “growth mindset” (see Dr. Carol Dweck) 8) Customers’ questions and real life cases 9) Problem solving together with good colleagues and customers.
When implementing new services, especially in exceptional times such as the covid pandemic and total distance working, it is crucial to have the good and continuous communication with colleagues, a strong sense of community and motivation.
With this presentation we would like to invite EAHIL colleagues to this discussion – both about the practicalities of REDCap and creating a good supportive atmosphere that carries us through to the “new normal”.
Biography and Bibliography
Dweck CS. Mindset: The New Psychology of Success. Updated Edition. New York: Ballantine Books; 2007. 320 s.
11:15am - 11:30amID: 117
/ 1.2: 3
Archiving and publishing research data at University Medical Centre Utrecht
University Medical Centre Utrecht, The Netherlands, Netherlands, The
In 2019 University Medical Centre Utrecht embarked on a project aimed at implementing a platform for archiving and disclosing the results of scientific research. Two fundamental concepts underlying this project are Open Science and FAIR. In this presentation we will describe the results of the project.
The goal of the project was to implement a platform that would enable researchers to archive the results of their research projects and to disclose these results to colleagues within and outside the institute. Fundamental concepts here are Open Science and FAIR. Sharing data is an important step that a research institute should take to give substance to the concept of Open Science, a component of the research strategy of University Medical Centre Utrecht . In order to optimally share data, it is crucial to make this data findable, accessible, interoperable and reusable (FAIR). For this, we need new IT platforms, but also clear policies and guidelines.
Method/ Program Description
Using a list of criteria developed by a working group of the Research Data Alliance, we evaluated several software packages, including Archivematica, Dataverse, DSpace, CKAN and YODA (a development of Utrecht University). Some of the important criteria were: GDPR compliance, metadata support, check-sums, and conversion to durable file formats.
We concluded that none of the specified software packages matched our requirements for both archiving and disclosing research data. However, a combination of two software packages, Archivematica and Dataverse, turned out to be the best solution for our institute. Therefore we decided to divide the project in three parts:
- implement an internal archive based on Archivematica
- implement DataverseNL as our preferred repository for sharing data
- develop an integration between Archivematica and Dataverse
In July 2021 we started using DataverseNL with our own guidelines and process description.
In December 2021 we will start using the Archivematica archive. The integration will be realized in the first quarter of 2022.
Developing and implementing the processes around these IT platforms proved to be very time-consuming. We also invested a lot of time in communication with researchers, writing documentation and developing training material. Data managers play an important role, since they provide support to the researchers. The principal investigators also play an important role, both in the process of publishing a dataset on DataverseNL, and in the process of assessing a request for access to a published dataset.
Human Touch (Recommended)
Introducing new IT platforms is only a small part of this project, since we require researchers to organize their work differently: structure your research folder, document all steps in your preparation and analysis, collect metadata for all data files, and document the conditions under which data can be shared. Open Science and FAIR are valuable concepts, but they do not come for free: researchers are required to spend extra time on meeting these requirements, supported by data managers. Most researchers are willing to do this, provided they are acknowledged and rewarded in some way.
Biography and Bibliography
1978-1984 MSc theoretical physics, University of Utrecht.
1984-1989 PhD theoretical nuclear physics, University of Utrecht.
1990-2000 Elsevier Science
Since 2002 I work at the University Medical Centre Utrecht, initially in the field of healthcare IT, but since early 2019 in the field of research IT.
My list of publications can be found through my ORCID identifier 0000-0002-1246-4342.
11:30am - 11:45amID: 230
/ 1.2: 4
Research Data Management for the Health Sciences at the Medical University of Lodz: Data Management Plans.
The Medical University of Lodz, Poland
At the Information and Library Center of the Medical University of Lodz, we are constantly developing how we support researchers. To improve our skills, we take part in courses and share good practices with other librarians. Nowadays, the most popular topic is open data. This presentation will mainly discuss research data supporting services (data management plan, legal issues, metadata standards, support for data archiving and preserving) and training activities: workshops, online training, and face-to-face consultations (DMP's). I will also talk about training for librarians and the Polish Working Group of the DSCC IN PL (Data Stewardship Competence Centers), in which we are taking part.