Keynote - Looking to the future: Sustaining open data and their infrastructures

Abstract

Open data infrastructures are facing changing times, as they grapple with changes in technologies, funding streams, and dominant political ideologies. How can open infrastructures be resilient in these times of change? How can data be sustained so that they are accessible and usable in the future? This keynote poses possible directions for thinking and questions to consider as open data infrastructures such as DataverseNL work to be resilient in the next ten years and beyond. 

Short biography

Kathleen Gregory is a social scientist working within the fields of library and information science and science and technology studies.  Her research focuses on scholarly communication practices and infrastructures, including those related to open science, research data, and research evaluation. Her most recent work investigates how open COVID-19 data/infrastructures are sustained. She is a Researcher at the Centre for Science and Technology Studies (CWTS) at Leiden University and a Research Fellow at the Research on Research Institute (RoRI).

Presentation - Mobilising data for the ecology of the future: a use case of oak leaf phenology

Abstract

Year after year, researchers and citizen scientists go out and collect valuable data on the many, diverse facets of various ecosystems—from the atmosphere, hydrology and soils to plants, animals, and other living nature. Many of these datasets are not shared, or if shared, scattered across a wide variety of platforms, and/or hard to understand and reuse. Yet, to understand and predict how our ecosystems are impacted by climate change or land use change, or to support managers in futureproofing their natural areas, we need large quantities of accessible and understandable data. LTER-LIFE seeks to change this by developing a digital research infrastructure that supports researchers in integrating data and models directly sourced from repositories and platforms into a digital twin of their study system. To prototype such a digital twin, we found Mary, a fictional researcher who is interested in the effect of spring temperature on the timing of leaf unfolding in oaks and how this might change under future climate change scenarios. Through the transparent workflow in a virtual research environment, from retrieving data to visualising outputs, that Mary and her colleagues created for her research, we will demonstrate the value of—and need for—mobilising data for the ecology of the future.

Short biography

Stefan Vriend (NIOO-KNAW),  is an ecologist and data enthusiast who tries to motivate and support other ecologists into adopting FAIR data and open science practices into their daily work to increase transparency and reusability across the research life cycle.

Presentation - Methane Controlled Release Experiments – datasets in DataverseNL.

Abstract

Measurements of methane with vehicle-based sensors are an effective method to identify and quantify leaks from urban gas distribution systems. We deliberately released methane in different environments (cities) and calibrated the response of different methane analysers when they transected the plumes in a vehicle. Due to the collaborative nature of the project, it was required to publish each dataset separately while still linking them as part of a larger series. This was enabled by the DataverseNL services.

Short biography

Judith Tettenborn is a climate scientist focused on climate change mitigation. In the course of her master’s thesis, she investigated measurement techniques to detect and quantify natural gas (methane) leakages in urban distribution systems. She is now pursuing a PhD at Utrecht University in Integrated Assessment Modelling, where her research centers on critical minerals for the energy transition.

Workshop 1 - FAIR data quality: the need for standard operating procedures in an institutional repository

Abstract

As an institutional data repository, DataverseNL offers the technical infrastructure and therefore the framework that shapes the functional possibilities. However, on an institutional level, the operating procedures need to be established, formalized, and implemented. In this workshop, we explore the status quo of operating procedures in various institutions that make use of DataverseNL, with the aim of identifying common issues, and, most importantly, sharing existing experiences and practices. The first part of the workshop will consist of a plenary session with presentations. In the second part of the workshop, we’ll dive deeper into particular elements of the standard procedures, such as data access conditions, data deletion after the retention period, and data re-appraisal.

 

For whom?

Repository managers, data curators, data stewards, and anyone interested in data repository workflows.

 

Duration

2,5 hours

 

Format

Interactive discussions and group activities.

 

Short biography

Femmy Admiraal

Trained as a linguist and anthropologist, Femmy obtained her PhD from the University of Amsterdam with a dissertation on spatial reference in Baure, and endangered language spoken in Bolivia. From 2017-2022, she worked at DANS as a Data Station Manager Humanities. In that position, she was involved in several national and international networks and projects on FAIR data management. Currently, she is a Senior Data Management Expert at the Centre for Digital Scholarship of Leiden University Libraries. Her areas of expertise include FAIR data management, data curation and long-term preservation.

Céline Richard

Trained as a physicist, Céline completed her PhD in Surface Science, a multidisciplinary field at the frontier of Physics, Chemistry and Materials Sciences, in Paris, France in 2011. Her research positions led her to live and work in Australia and France. From 2017 to 2022 she worked as a publisher for research journals, including data and software journals. She was especially interested in software peer-review, searchability, data and software reuse and archiving (platforms, version control, metadata, etc). She is currently a Research Data Manager and Policy officer for Research Data Management at the Faculty of Social and Behavioural Sciences of Leiden University.

Workshop 2 - CoreTrustSeal certification for DataverseNL repositories

Abstract

The CoreTrustSeal, launched in 2018, defines requirements and offers core level certification for Trustworthy Data Repositories. Each institute that uses DataverseNL can evaluate their trustworthiness and apply for CoreTrustSeal certification. However, because these institutes all make us of the same software and DANS’ service, there is overlap in how certain requirements can be answered. In this workshop we will discuss the conditions that must be met to obtain CoreTrustSeal certification and what the full process looks like. What are the things you should specifically pay attention to? What are the challenges? And can we work together as institutes to ease the process?

For whom?

Repository managers, data curators, data stewards, and anyone interested in CTS certification.

Duration

2,5 hours

Format

Presentation, Interactive discussions and group activities.

Short biography

Maaike Verburg

Maaike Verburg is a Research Data Management Specialist at DANS, meaning she gathers and shares expertise on different topics in different (inter)national contexts. As a member of the DANS training team, she is also involved in translating international developments to the context of the Dutch data professionals and supporting the upskilling of people and services. Maaike’s specific areas of focus are repository trustworthiness and FAIR assessment. Maaike has been part of the CoreTrustSeal Board since 2024 and supports repositories towards increased trustworthiness in different European projects, such as FAIRsFAIR, FAIR-IMPACT, and FIDELIS.

Workshop 3 - Defining Meaningful Metrics for DataverseNL: Stakeholder Perspectives & Practical Solutions

Abstract

DataverseNL provides multiple ways to track dataset activity, but are the existing metrics sufficient for all stakeholders? This interactive workshop will bring together researchers, institutional managers, data stewards, and policymakers to explore what metrics they need, how current DataverseNL metrics align with these needs, and where gaps exist. Through collaborative exercises, participants will define key use cases, assess available metrics, and propose new ways to measure data reuse and impact. The session will result in actionable insights to help improve the usefulness of DataverseNL’s metrics.

For whom? 

Anyone interested in research data metrics, including researchers, data professionals, institutional managers, and DataverseNL administrators.

Duration

2.5 hours

Format

Interactive discussions, group activities, and hands-on problem-solving.

Short biographies

Felix Weijdema

Felix Weijdema is Faculty Liaison for the Faculty of Veterinary Medicine at Utrecht University, where he guides staff and researchers in navigating the rapidly evolving landscape of scholarly communication. His expertise spans Open Access, Open Science, Research Data Management, FAIR Data, systematic searching, and reference management. Felix contributes to ASReview—an open source, open science project that uses machine learning to accelerate citation screening (Nature Machine Intelligence, 2021). An advocate for academic visibility, Felix advises on online profiles and ORCID, helping scholars increase the reach and impact of their research worldwide.

Jeroen Bosman

Jeroen Bosman is open science adviser and geoscience librarian at Utrecht University. His fields of expertise are open science, open access, open research information, scientometrics and research evaluation. He is currently involved in university ranking policy, open science monitoring, open science infrastructures, and resilience of open science.

Workshop 4 - RDM Infrastructure: Integration of DataverseNL in the overall RDM infrastructure landscape

Abstract

As an institutional data repository, DataverseNL offers a technical infrastructure for researchers to store and archive their data. However, DataverseNL is not the only solutions institutions provide to researchers. A wide variety of data- and software management services and infrastructure are being used by research performing institutes. Service like iRODS/Yoda, Research Drive, on-premises storage solutions and other, sometimes self-developed, solutions are offered. To enable easy and self-explanatory use, connections are made between these different infrastructural components. In this workshop, we explore the different infrastructural components with institutional data management landscapes and the connections between these components. The workshop aims to common issues and sharing existing experiences and practices. The first part of the workshop will consist of a plenary session with presentations. In the second part of the workshop, we’ll dive deeper into particular elements of a data management environment, such as data storage, data availability, data access conditions, data deletion after the retention period, and data archiving.

For whom?

Repository managers, data curators, data stewards, and anyone interested in data infrastructures.

Duration

2,5 hours

Format

Interactive discussions and group activities.

Short biography

Marcel Ras

Marcel is the Manager of the Research Data Support Network at the VU University in Amsterdam (Vrije Universiteit), where he is responsible for the coordination of the Research Support activities within the University. The Research Support Network (abbreviated as NeRDS) is the single point of contact for all questions related to research data management with the aim of providing high-quality support. The network has four main objectives: First is to ensure continuity of Research Data Management tools and services offered to researchers enabling them to manage, store, share, archive and publish research data (and software). Secondly, in the network research support provided by central services (data experts, legal experts, etc) and faculties (data stewards) are combined in a university-wide support organization. This assures that support is as close to the researchers needs as possible and that available expertise is efficiently used. The third goal of the network is to provide good and easy to use information about research data management to researchers. The fourth goal is to foster innovation and to develop new infrastructure and functionality according to researchers needs.

Presentors

Short presentation on data infrastructure elements in institutional settings will be provided by:

  • Marleen Marynissen, KU Leuven
  • Joost Daams and Sjoerd Manger, Amsterdam UMC
  • Pedro Hernandez, Maastricht University
  • Burcu Koopmans-Beygu, Groningen University