Nordic Love Data Week Agenda
Feb 9 (Mon)
| Time (CET) | Activity | Where to go | Event details | Organisers/Speakers |
|---|---|---|---|---|
| 10:00 – 11:00 | FAIR data and how to check fairness of your data | Zoom link | In this webinar DeiC will introduce you to the FAIR principles and its importance to make data reproducible and aligned with research code of conduct(s). You will also learn how to define the FAIRification rationale for your data by using self evaluation tools such as (e.g. F-UJI or FAIR evaluator) and get practical tips on how to get started to enhance it’s FAIRness. |
Hannah Mihai is a data management consultant from Danish e-infrastructure Consortium (DeiC) |
| 11:00 – 11:30 | An introduction to Data Management Plans | Zoom link Password: 541484 | This introductory seminar provides an overview of Data Management Plans (DMPs). Participants will learn why DMPs are a useful element in a researcher's toolbox, and how they support good research practices across the research data lifecycle. The session also introduces key components of a DMP and points to tools and resources that can help researchers create effective plans. |
Jeremy Azzopardi is a Digital Research Engineer at Chalmers e-Commons with over a decade of experience in research data management. |
| 12:00 – 13:00 | Supporting good research management practices with Electronic Lab Notebooks | Zoom link | The paper lab notebook has been the trusted companion of research laboratories for generations. But many research organisations are moving towards a more efficient solution to document experiments: the Electronic Lab Notebook. ELNs can save time, facilitate collaboration, enhance data integrity and reproducibility, and protect against data loss. Join us in this webinar to learn all about ELNs and how they are supporting good research management practices at Aalto University and NTNU. |
Lara Ejtehadian (Aalto) is a research Information Specialist and ELN System Administrator at Aalto University, will present Aalto’s Electronic Laboratory Notebook based on the open-source platform eLabFTW. Matteo Iannacchero (Aalto) is a doctoral researcher in multifunctional materials design, will introduce Aalto’s second ELN: the Aalto Materials Digitalization Platform, a custom-built system. Both platforms and their features for improving research data management will be discussed. Srikar Yadala (NTNU) is a researcher in NTNU’s Thermo-Fluids group and coordinator of the Fluid Mechanics Laboratory, is a superuser of RSpace. He will share insights on integrating ELNs into experimental research and his experience implementing RSpace to streamline workflows. |
| 14:00 – 14:45 | Where will my data end up? Selecting a high quality repository for the data underlying your published results |
Zoom link
Event page |
There are numerous data repositories where you can deposit research data - In this session you can learn more on how to select a good repository. Introducing the audience to factors to consider when selecting a suitable repository to deposit data as a part of a trustworthy research practice -and increase the impact of your research as well. Some examples of research data from KTH data repository , Zenodo and the Swedish researchdata.se portal will be shown. | Rosa Lönneborg works as the research data coordinator at KTH with a background in life science research and informatics, and is part of a small team managing the institutional repository at KTH |
Feb 10 (Tue)
| Time (CET) | Activity | Where to go | Event details | Organisers/Speakers |
|---|---|---|---|---|
| 10:00 – 10:45 | Automated large-scale text analysis | Zoom link | Automated text analysis is a range of flexible and time-efficient methods for gaining insights from a large set of texts, whether they are texts that have been created in a digital format, interviews, or digitized versions of physical documents. The webinar will give an introduction to the potentials of automated text analysis, a basic introduction to how it works, as well as resources for getting started. Use of AI will also be mentioned. | Søren Willer Hansen works as a data analyst at the Copenhagen University Library, conducting bibliometric analyses for national and university stakeholders. As part of the university library's Datalab he teaches programming with the R language. |
| 11:00 – 12:00 | Visualize your research data |
Zoom link
Event page |
Do you want to improve the figures of your next article or presentation? Welcome to a seminar on how to visualize different types of research data in various contexts. A picture is worth a thousand words, but how do you best communicate your results visually? Welcome to a workshop where we go through what to consider when visualizing data and research results. We will go through both graphical aspects of data visualization and how to reason about colour choice, layout and choice of charts and graphs. During the workshop we will focus on visualization of different types of quantitative data and how to use data visualization both as an analysis tool and as a communication tool in different contexts. | Mattias Vesterlund (KTH) has a background as a researcher in Life Sciences working with proteins and Omics-data. He is currently working as a Research Data Advisor and Educator at KTH in Stockholm, Sweden. |
| 13:00 – 13:30 | BRIGHT Data Catalog - Developing A Research Data Management Infrastructure |
Zoom link
Event page |
I will share my experiences and opinions to solutions that we at BRIGHT trying to turn scattered research data into a coherent and well-governed asset. I will share our strategies for integrations of lab data, computational analyses, lab data and DMP. This presentation aims to stimulate discussions for architectural choices, lessons learned, and common pitfalls when building an end-to-end research data management infrastructure. | Ding He is trained as researcher with a diverse background in biological science and bioinformatics. He is currently working as Research Data Steward at BRIGHT, DTU Denmark. |
| 13:30 – 14:00 | Introduction to Data Publishing and Zenodo | Zoom link (Password: 391961) | This introductory seminar provides an overview of Data Publishing and data repositories, using Zenodo as an example. Participants will learn why publishing data is useful and how to do it using Zenodo. |
Jeremy Azzopardi is a Digital Research Engineer at Chalmers e-Commons with over a decade of experience in research data management. |
| 14:00 – 14:30 | Where's the data to your article? Learn how to prepare a Data Availability Statement |
Zoom link
Event page |
Learn how to submit supporting data or code with your manuscript and how to prepare a data availability statement. Jitka will explain the workflow for integrating a data publication in the peer-review process of scientific articles. The data repository of DTU, [DTU Data](https://data.dtu.dk), is part of the [Figshare](https://figshare.com/) platform and will be used as an example. | Jitka Stilund Hansen works with research data management at DTU Library and is part of a small team managing the institutional data repository. She has a background in biology and health science. |
Feb 11 (Wed)
| Time (CET) | Activity | Where to go | Event details | Organisers/Speakers |
|---|---|---|---|---|
| 10:00 – 10:50 | Searching for research data | Zoom link(Passcode: 030713) | The aim of FAIR data is to have, where possible, research data open and accessible to review and reuse. The present reality complicates data’s findability in a myriad of ways not least of which is the decentralised nature of research data repositories and indexes that characterise the data publishing landscape. In this presentation, I will discuss how a network of library research support staff in Denmark, have developed a workshop designed to enhance the competencies of researchers to search for published data. | Sacha Zurcher works as a research data specialist at the Royal Danish Library based at Roskilde University. She supports researchers, runs courses for Ph.D. students, and advises university management on issues related to research data. She has a background in human geography. |
| 11:00 – 12:00 | FAIR by Default: Building Reproducible Digital Research Projects |
Zoom link (Password: 603040)
Event page |
How can individual researchers put FAIR (Findable, Accessible, Interoperable, Reusable) into practice without being tech experts? This talk shows a practical workflow that makes FAIR the default: a guided template standardizes structure, locks environments, and versions code/data, while a live machine-actionable DMP (maDMP) updates as datasets evolve. A companion editor adds policy guardrails and one-click publishing to approved services (e.g., Dataverse/Zenodo), providing a straightforward path to integrate institutional and national infrastructure into everyday work. | Kristoffer Gulmark Poulsen is a data scientist and HPC administrator at Copenhagen Business School, working on supercomputing, research data management, and financial databases. |
| 12:00 – 12:50 | Introduction to OpenRefine |
Zoom link
Event page |
OpenRefine is a powerful free, open source application for cleaning up messy data and transform the dataset into other formats. This webinar will inspire you to get started with OpenRefine. DTU researchers can book Jeannette for a workshop on Thursday 12 on a first-come-first-serve basis. This introduction is open to everyone. |
Jeannette Ekstrøm works with research support and teaching both student and researchers with methods for literature searching, literature review, using Generative AI as supplement for their workflow and also Reference Management and more. She has taken a Library Carpentry certification in OpenRefine |
| 12:30 – 13:00 | Licensing research data for reuse |
Zoom link
Event page |
Datasets archived in public repositories need proper licensing. This talk will take you through the most common licenses for data reuse, and discusses potential problems that could arise. | Daniel Henry Øvrebø is senior research librarian and subject specialist in music at the Bergen University Library, and coordinates the library's research data team. The team offers various data management support services for the UiB academic staff, including curating datasets deposited to UiBs DataverseNO institutional repository. |
| 13:00 – 14:30 | Responsible Preservation of Research Data & Data Available on Unreasonable Request | Zoom link |
Responsible Preservation of Research Data (Mari Elisa Kuusiniemi, University of Helsinki)
Join us to explore the ‘Checklist for the Responsible Preservation of Research Data’—a practical guide for researchers and research support professionals. The event uses a checklist originating from the University of Helsinki’s data preservation guidance (https://doi.org/10.5281/zenodo.10424017), yet the presentation and checklist are fully applicable beyond any single organisation. Data Available on Unreasonable Request (Enrico Glerean, Aalto University) Do you love open data? Do you conduct data appraisal? Data availability statements are basically mandatory in every field, but there are sometimes hurdles so that you can always make your data "available on reasonable request". In this short provocative talk Enrico will argue that maybe we can just be honest and tell that not all data is worth opening, and more resources and efforst should be invested on high quality datasets that truly have potential for reuse and new discoveries. Slides here: https://zenodo.org/records/18609058 |
Mari Elisa Kuusniemi works as an Information Specialist on Data support at the Helsinki University Library. Enrico Glerean is a staff scientist at the Aalto School of Science, core member of the Aalto Scientific Computing team. He helps researchers with their research software and teaches the mandatory course on Research Ethics and hands-on courses like "CodeRefinery" and "Hands-on Data Protection". |
Feb 12 (Thu)
| Time (CET) | Activity | Where to go | Event details | Organisers/Speakers |
|---|---|---|---|---|
| All day | Where is the Data Day | Event page | A Nordic-wide reflection and cleanup day dedicated to improving research data practices. Research groups across the Nordics are invited to pause, review, and improve how their data is planned, stored, documented, and preserved. The day encourages activities such as creating or updating data management plans, improving reproducibility workflows, documenting processes, or preparing datasets for publication. Participants can use the RDM Checklist and explore presentations and workshops offered during Love Data Week to inspire their work. A follow-up drop‑in session will be held on Friday for anyone wishing to share experiences or ask questions. | Nordic Love Data Week Team |
Feb 13 (Fri)
| Time (CET) | Activity | Where to go | Event details | Organisers/Speakers |
|---|---|---|---|---|
| 10:30 – 12:00 | Wrap up session and data demo party |
Zoom link
Event page |
A drop‑in session for anyone who wants to share experiences, show examples of your lovely data, ask questions, or simply talk about how their “Where’s the Data Day” went. We promise to be amazed and cheer at anyone who feels comfortable enough to share their work with their data!! And we're very grateful for all kinds of feedback from participants | Rosa Lönneborg will make an effort of being the friendly host (and preferably as many of you who wants to join) |