(L)DCC
In 2020 when NWO announced the call for Local DCC’s, the LCRDM organised the Implementation Network DCC NL (position paper).
DCC Spring Training Days 2023
The DCC Spring Training Days are a national collaboration on training and workshops aimed at starting research data stewards and starting researchers. In seven interactive sessions in May, June and July of 2023, several topics related to Research Data and Software Management and Open Science were be covered. The Training Days are designed for people new to RDM & RSM and Open Science, and will be held in person in Utrecht at SURF, and are offered all in English
Session 1 (Thursday May 11, 09.00-13.00) Engagement: connecting researchers and data stewards
(Reviewing) data management plans (Esther Plomp, TU Delft) and Community building (Lena Karvovskaya VU Amsterdam)
Session 2 (Thursday May 11, 13:30-17:00) The role of good RDM in accelerating scientific progress (Kristina Hettne, Digital Scholarship Librarian, Leiden University Library); and Alessa Gambardella Data Steward Science, Leiden University). In this workshop you will be introduced to methods, tools and concepts such as the Reprohack, data repositories, and Findable, Accessible, Interoperable, and Reusable (FAIR) (meta)data and how they accelerate scientific progress. The session will be a mix of interactive exercises and lectures.
Session 3 (Thursday June 1, 09.00-12.30) Introduction to Anonymisation and pseudonymisation This interactive workshop is an introduction of basic techniques and tools for protecting (personal) sensitive data. In the first part, the differences between fully-identifiable data, anonymous and pseudonymised data will be explained. Subjects like techniques, tools and the protection model (K-anonymity, L-diversity, T-closeness) will be handled. You will also get the opportunity to try-out these de-identification techniques in hands-on exercises. In the second part we will handle different levels of access control (authentication and authorization) and best practices on passwords. Possible tools for encryption will be discussed. This part will also be followed by hands-on exercises, during which you consider what measurements you have already taken and what can be improved, by Hanne Vlietinck (Technical Data Steward with background in IT, Hasselt University, Belgium); Afshin Amighi (Lecturer and researcher in Rotterdam University of Applied Science)
Session 4 (Thursday June 1, 13:00-16:30 ) Advanced Anonymisation and pseudonymisation
Target group: Researcher support staff and researchers by Afshin Amighi (Lecturer and researcher in Rotterdam University of Applied Science)
Advanced part: Legitimacy of data-driven research and success of data-intensive applications like machine learning and other AI techniques depend heavily on protecting privacy in the design, realisation, deployment and maintenance of these studies and systems. Therefore it’s important to apply some measures on the data to reduce the risk of disclosing sensitive information as much as possible. In this course we focus on the techniques in Statistical disclosure control to minimize the amount of personal data in data sets.
Session 5 (Thursday June 15, 09:30-13:00 ) Practical Pedagogical Techniques for hands-on workshops by Lieke de Boer, Community Manager, the Netherlands eScience Center; Mateusz Kuzak, Training Programme Lead, the Netherlands eScience Center; (more trainers will be announced). In this workshop, we will teach you a few pedagogical techniques that will help you improve your training sessions. We will be teaching you, and you will be teaching each other about formative assessment, the use of inclusive language and engaging discourse. At the end of this training, you will know how to implement peer instruction, monitor student learning, use simple language and avoid jargon, and use analogies, personal stories, and/or humor to make content stick.
Session 6 ( Thursday June 22, 09:30-13:30) (includes lunch) Organizing your data and software with a reproducible workflow by (Renate Mattiszik, Saxion University of Applied Sciences; Stephanie van de Sandt and Meron Vermaas, VU Amsterdam)
This workshop will teach best practices on how to organize a research project throughout its life cycle using familiar tools as much as possible. In interactive breakout sessions participants will gain hands-on experience in creating, organizing, updating, and archiving research projects. At the end of the workshop you will have gained your first experiences with creating project changelogs, versioned project releases, and publishing research on research data repositories like Zenodo.
Session 7 ( Thursday July 13th, 13.00-17:00) Research Software Management Essentials by Barbara Vreede (Senior Research Software Engineer, the Netherlands eScience Center ) and Mateusz Kuzak, (Training Programme Lead, the Netherlands eScience Centre)
This workshop will cover topics that every research supporter should know about research software. We will introduce best practices in research software engineering that support open and reproducible research. Specifically, we will cover software management plans, FAIR software principles, and software citation.