Experiments | openCARP

Dec 21, 2023 v2023.12.21 Poster CC-BY-4.0

10 steps towards privacy compliance in research

Research Data Management Support

This upload contains a flyer/handout with an overview of steps that researchers should take when they process personal data in their research project: Keep the GDPR in mind when designing your research: Do you need to collect personal data, why, and how much? Make sure you have a legal basis to use personal data, e.g., public interest or consent Document privacy risks and privacy-related decisions, e.g., in a Data Management Plan, privacy scan, or Data Protection Impact Assessment Arrange ethics review. Ethics review makes sure that you have also taken ethical implications into account Inform participants properly, e.g., in an information letter, oral script, privacy statement Protect your data with organisational measures, e.g., access control, agreements with external parties, data protection policies, researcher training Protect your data with technical measures, e.g., anonymise, pseudonymise, encrypt your data, use safe storage Enable participants to exercise their rights, e.g., right to data access, correction, objection, erasure FAIR data: balance risks and Open Science principles, e.g., share under restricted access, or only share metadata and materials Ask for help when you need it! Contact your privacy officer or data steward for support Although this flyer was created for Utrecht University researchers and students, the steps are fairly generic and so reuse of this flyer in other institutes is encouraged. This upload contains a flyer/handout with an overview of steps that researchers should take when they process personal data in their research project: Keep the GDPR in mind when designing your resear… show more show less

https://doi.org/10.5281/zenodo.10417514

privacy general data protection regulation scientific research research gdpr academia data protection

Jan 20, 2025 1.0.0 Presentation CC-BY-4.0

Collaboratively Writing Code with Git and GitHub

Speed, Garrett , Kandylas, Aristotelis

Presentation for the workshop "Collaboratively Writing Code with Git and GitHub". This workshop covers topics of cloning, branches and forks, and pull requests. The presentation includes graphics on these concepts. The practical portion of the workshops has the students fork a template repository, clone it to their local machine, make a branch for a code change, make the code change, and then commit that. Then the students make pull requests to the original repository, the first one will go smoothly, however the following pull requests will require conflict resolution due to the pull requests coming from the same original commit. The example repository for this workshop can be found here: https://github.com/UtrechtUniversity/CWCGG-Parent-Repo This presentation is available in PowerPoint Presentation (pptx) and OpenDocumentFoundation Presentation (odp) formats. Presentation for the workshop "Collaboratively Writing Code with Git and GitHub". This workshop covers topics of cloning, branches and forks, and pull requests. The presentation includes graphics on t… show more show less

https://doi.org/10.5281/zenodo.14696635

Jul 12, 2024 v2024.07.12 Book CC-BY-4.0

Data Privacy Handbook

Research Data Management Support, Dorien Huijser , Neha Moopen , Jacques Flores , Mercedes Beltrán , Kasper de Bruijn , Johathan de Bruin , Desiree Capel, Freek Dijkstra , Jonas Folkers, Andreas Franzke , Joris de Graaf, Saskia van den Hout, Frans Huigen , Rik D.T. Janssen , Katharina Jovic, Leon Kessels, Sanne Kleerebezem, Danny de Koning-van Nieuwamerongen , Pieter Sebastiaan de Lange, Frans de Liagre Böhl , Maisam Mohammadi Dadkan , Lea Massé , Pascal Pas , Francisco Romero Pastrana , Johanneke Siljee, Maarten Schermer , Raoul Schram , Ron Scholten , Garrett Speed , Thom Volker , Martine de Vos , Felix Weijdema

This is the July 2024 release of the Data Privacy Handbook. About The Data Privacy Handbook is a practical guide on handling personal data in scientific research, primarily written for Utrecht University researchers and research support staff in the Netherlands. It is an initiative of Research Data Management Support, in collaboration with privacy and data experts at Utrecht University. The Data Privacy Handbook consists of: A knowledge base which explains how the EU General Data Protection Regulation (GDPR, Dutch: Algemene Verordening Gegevensbescherming) applies to scientific research, including guidelines and good practices in carrying out GDPR-compliant scientific research; An overview of privacy-enhancing techniques & tools and practical guidance on their implementation; Use Cases in the form of research projects with privacy-related issues, for which a reusable solution (e.g., tool, workflow) is shared. Please find the most up-to-date version of the Data Privacy Handbook here: https://uu.nl/privacyhandbook. What's Changed (v2023.11.24 vs. v2024.05.07) Add 10 steps towards privacy compliance to Get started chapter by @DorienHuijser in https://github.com/UtrechtUniversity/dataprivacyhandbook/pull/91 Update data breach links, small reformulations, EC decision aid to Design chapter by @DorienHuijser in https://github.com/UtrechtUniversity/dataprivacyhandbook/pull/92 Add DOI to rendered Handbook + rephrasing of When to use consent by @DorienHuijser in https://github.com/UtrechtUniversity/dataprivacyhandbook/pull/94 Add contributors by @DorienHuijser in https://github.com/UtrechtUniversity/dataprivacyhandbook/pull/95 Small fixes, add Interview scenario (first version) by @DorienHuijser in https://github.com/UtrechtUniversity/dataprivacyhandbook/pull/100 add contributors, update link by @DorienHuijser in https://github.com/UtrechtUniversity/dataprivacyhandbook/pull/101 Full Changelog: https://github.com/UtrechtUniversity/dataprivacyhandbook/compare/v2023.11.24...v2024.05.07 What's Changed (v2024.05.07 vs. v2024.07.12) This release contains a small fix of the Zenodo metadata compared to the previous July 2024 release. Full Changelog: https://github.com/UtrechtUniversity/dataprivacyhandbook/compare/v2024.05.07...v2024.07.12 This is the July 2024 release of the Data Privacy Handbook. About The Data Privacy Handbook is a practical guide on handling personal data in scientific research, primarily written for Utrecht Univers… show more show less

https://doi.org/10.5281/zenodo.12731721

privacy research gdpr academia general data protection regulation research data management

Mar 15, 2024 1.2 Presentation CC-BY-4.0

Data publication and archiving workshop

Maisam M. Dadkan , Vincent Brunst

This presenation is part of the workshop series provided by the Geo Data Team at the faculty of Geosciences of Utrecht University in 2023.In this workshop, we will show the data publication/archiving best practices and provide practical knowledge on how to use Yoda and Zenodo to publish data and DAG for data archiving.The workshop is divided into two parts. In the first part which is 15 minutes presentation, the data lifecycle, the importance of data publication & archiving, best practices, and the options (Yoda, Zenodo) for data publication and archiving (DAG*) are discussed. In the second part, we show a demo of the data publication processes on Yoda and Zenodo and archiving process on DAG. *DAG: Data Archiving for Geosciences This presenation is part of the workshop series provided by the Geo Data Team at the faculty of Geosciences of Utrecht University in 2023.In this workshop, we will show the data publication/archiving … show more show less

https://doi.org/10.5281/zenodo.10822514

Research data management data publishing FAIR Open data RDM

Dec 04, 2024 Presentation CC-BY-4.0

Data Reuse Workshop Open Science Festival 2024

Veldkamp, Coosje Lisabet Sterre , De Jong, Aleid , Quené, Hugo , de Bruin, Jonathan , Flores Dourojeanni, Jacques

show more show less

https://doi.org/10.5281/zenodo.14272795

Open Science Data Reuse

Jun 01, 2023 1.1.0 Presentation CC-BY-4.0

GDPR In Practice

Romero Pastrana, Francisco

Presentation for the faculty of Geosciences on the principles of the GDPR, and how to properly handle and protect personal data. First presented 29 March 2023. Presentation for the faculty of Geosciences on the principles of the GDPR, and how to properly handle and protect personal data. First presented 29 March 2023. show more show less

https://doi.org/10.5281/zenodo.8033833

gdpr avg privacy personal data informed consent

Jan 20, 2025 1.2.0 Presentation CC-BY-4.0

Getting Started with Git and GitHub at UU Geosciences

Garrett Speed , Aristotelis Kandylas

Presentation for the workshop Getting Started with Git and GitHub. This presentation introduces basic Git and GitHub concepts, after this presentation hands on working with GitHub desktop occurs. New in Version 1.1.0, the manual for the workshop has been added. The manual is an 80 page PDF going through all the steps taken in the workshop with screenshots. New in Version 1.2.0, minor updates to content. GitLab slide is simplified and Gitea added. As a precursor to the workshop, attendees are asked to create a GitHub.com account, install GitHub Desktop, and install a recomended code editor such as VS Code, VS Codium, Sublime, or R Studio. The workflow of the hands-on section is as follows: Create a repository in GitHub Choose an owner Name the repository Write a short description Initialize with a README file Choose a license Choose a .gitignore template Clone the repository locally with GitHub Desktop Change the local repository path because local computer management and syncronynization with network drive can cause issues. Explore the GitHub Desktop interface Open repository from GitHub Desktop into a code editor Make a change to the README.md file Commit change to local repository Push to remote repository View change in GitHub.com Check for update by reloading repository page Press the "." key to open hosted VS Code editor in webpage Make another change to README.md Commit change to README.md in hosted VS Code Go back to view change in GitHub.com Fetch origin in GitHub Desktop See that GitHub Desktop does not show the change made remotely Push fetch origin to tell GitHub Desktop to look for remote updates Pull from origin Check updates locally in file explorer and code editor Create code file in local repository Create or copy code file to local repository Create a functioning code function Commit change when code function is functional Write commit message and long description Create config file Create config file with secrets like SSH private keys, passwords, AWS keys, etc See change in GitHub desktop Right click to ignore config file Check to see change from new config file as Git addition to .gitignore file update. Create config.template file to demonstrate proper config file availability for other users Commit changes with the .gitignore update and new config.template file Q&A (FAQ below) How do I add collaborators? How do I join UU organizational account? How do I see Git history? How do I handle multiple file updates but unrelated functionality? When do I commit? Use example of working while commuting to the office (safety commit) Presentation for the workshop Getting Started with Git and GitHub. This presentation introduces basic Git and GitHub concepts, after this presentation hands on working with GitHub desktop occurs… show more show less

https://doi.org/10.5281/zenodo.14696553

git github workshop code versioning code utrecht university rdm

Mar 06, 2024 v2024-03-06 Presentation CC-BY-4.0

Getting Started with Yoda Workshop

Flores, Jacques , Jansen, Dafne , van Schip, Rob, Mohammadi Dadkan, Maisam , Thöle, Lena , Rapisarda, Stefano , Moopen, Neha , Huijser, Dorien , Dielen, Ruud

This deposit contains the presentation used during the workshop "Getting started with Yoda", provided by Utrecht University's Research Data Management Support. It contains an overview of the features of Yoda and the possibilities within research. Besides the slides, the workshop also includes a practical part in which participants practice with using Yoda's browser GUI. This deposit contains the presentation used during the workshop "Getting started with Yoda", provided by Utrecht University's Research Data Management Support. It contains an overview of the features … show more show less

https://doi.org/10.5281/zenodo.10785360

research data management rdm data publication archiving data management

Nov 13, 2023 1.1 Presentation CC-BY-4.0

How to Write a README

Maisam M. Dadkan , Garrett Speed , Beltran, Mercedes

Readme files are simple documentation files that can be included with data packages and are a way to convey information to yourself and others about your data packages. Documenting your data packages can help you remember where you have placed data, and how you structured data, which can be helpful when revisiting data after a vacation or a few years. In this workshop, we'll show where to find the UU Geosciences faculty README template, how to edit it, and what information to put in README files. In this workshop, we aimed to reach the following learning outcome:Where to save the README file How to create a README file What information to include in a README Learn where to download the UU Geosciences README template How to edit the UU Geosciences README template Why it is important at different research phases (with examples)Introduce different components of the README file Provide them tips and tricks to customize their README files In the presentation, we provided general information about README, its contents, and in which file format it should be created. It was shown how to use Markdown (.md) file format to write stylish README using some examples given in the MarkDown_Writing_tips file. We use an online Markdown editor to show this example.In the second part of the workshop, we showed where the participants can find the README templates of the Faculty of Geoscience and use them for their purposes. In the third part of the workshop, the participants were divided into groups. Each group received a README to review and identify what are the missing parts and give suggestions to improve each of them. Each group had up to 5 minutes to explain what they found in README. The READMEs that were used in this part are included in the README.zip file. Readme files are simple documentation files that can be included with data packages and are a way to convey information to yourself and others about your data packages. Documenting your data packages … show more show less

https://doi.org/10.5281/zenodo.10117932

README Data management Data documentation RDM

Feb 29, 2024 Presentation CC-BY-4.0

Managing Research Data in Office365

Garrett Speed , Beltrán, Mercedes

UU researchers have access to Microsoft software and cloud storage such as Teams, SharePoint, and OneDrive. In this workshop you will learn how to create and manage Teams, add tools for planning, calendars, wikis, notebooks to the team, and store and manage data within the Teams environment and associated SharePoint. You will also learn about managing and sharing data with OneDrive. UU researchers have access to Microsoft software and cloud storage such as Teams, SharePoint, and OneDrive. In this workshop you will learn how to create and manage Teams, add tools for planning, cale… show more show less

https://doi.org/10.5281/zenodo.10820691

onedrive sharepoint teamsite microsoft teams microsoft teams research data management rdm

Mar 13, 2024 1.1 Presentation CC-BY-4.0

Managing Research data in YoDa

Vincent Brunst , Maisam M. Dadkan

Yoda is a research data management service that enables researchers from Utrecht University and their partners to securely deposit, share, publish, and preserve large amounts of research data during all stages of a research project. This service is managed and supported by an interdisciplinary team of university employees. The software has been developed at Utrecht University and is used by multiple organizations, both in the Netherlands and abroad. Yoda is built on the iRODS data management system which makes it a data management and data repository system simultaneously. iRODS (Integrated Rule-Oriented Data System) is an open-source data management software that provides a flexible and comprehensive solution for organizing, sharing, and preserving large and complex data sets. iRODS is designed to handle data from various sources, including scientific instruments, file systems, databases, and web services. It provides a unified namespace, data indexing, and metadata management, making it easy to locate and access data from multiple locations. iRODS also includes a rules engine that allows users to automate data management tasks and enforce policies, ensuring data integrity and security. In the new version of this workshop, we cover the following topics (1.5 hour): Presentation: The basic concepts and functionalities of Yoda, e.g., getting access, uploading, sharing, and publishing data workflows on Yoda The best practices for using Yoda Demo: Demonstration of different functionalities of Yoda from uploading to publishing data Hands-on( assignments): Granting the participants access to Yoda Designning a dummy folder strucuture on Yoda Fill in the metadata form Sharing the uploaded data with other peers Yoda is a research data management service that enables researchers from Utrecht University and their partners to securely deposit, share, publish, and preserve large amounts of research data dur… show more show less

https://doi.org/10.5281/zenodo.10812783

yoda RDM Research data management irods Utrecht university

Nov 13, 2023 1.1 Presentation CC-BY-4.0

Metadata in practice

Maisam M. Dadkan , Garrett Speed , Beltran, Mercedes

Introduction: Metadata in practice is one of the series of micro-RDM workshops at the Faculty of Geosciences of Utrecht University. The goals of the workshop are to help the attendances know about: What metadata is & why it is important What are the types of metadata What is the difference between human-readable and machine-readable metadata How to find field-specific metadata standards How to find tools to edit metadata The structure of the workshop: The presentation gives basic knowledge about metadata and its crucial role in the spirit of the FAIR principle(15-20 minutes). Then, we started to show the metadata forms of the files on the system (e.g., the metadata table of an image) and explain different parts and show how to modify it. In the second part of the demo, the structure of the metadata form of Zenodo and YoDa was discussed. Introduction: Metadata in practice is one of the series of micro-RDM workshops at the Faculty of Geosciences of Utrecht University. The goals of the workshop are to help the attendances know about: … show more show less

https://doi.org/10.5281/zenodo.8410119

Research data management RDM Metadata FAIR Open data

Oct 03, 2023 2.0 Presentation CC-BY-4.0

Organizing Data for Reproducible Research

Speed, Garrett , M. Dadkan, Maisam , Beltrán, Mercedes

Presentation for a workshop on organizing research data, with tips for folder and file naming, how to use version and release candidate numbering, how to write time, universal sorting. There is an example section on how to document a folder and file structure in document writing software like LibreOffice Writer or Microsoft Word. In the actual workshop, attendees are asked about their research data, and we build a structure interactively. For batch renaming files: Use Python and the libraries glob and os Use Windows PowerToys Batch Renamer Microsoft PowerToys | Microsoft Learn Presentation for a workshop on organizing research data, with tips for folder and file naming, how to use version and release candidate numbering, how to write time, universal sorting. There is… show more show less

https://doi.org/10.5281/zenodo.10006354

file organization file system directory data management research data management rdm geosciences iso 8601 versioning

Nov 23, 2023 2.0 Presentation CC-BY-4.0

Planning Data and Software Management

Kandylas, Aristotelis , Beltrán, Mercedes

This presentation is part of the workshop series, provided by the Geo Data Team (Faculty of Geosciences) in collaboration with the Beta Data Team (Faculty of Sciences) of Utrecht University in Autumn 2023.In this workshop, we present best practices to ensure reproducibility, sustainability and compliance with funding requirements. We also explore practical tools and methods for effective data and software management, throughout a project's lifecycle.The workshop is divided into two parts. In the first part which is 25 minutes presentation and practical, we dive into Data Management Plans (DMPs). Specifically, what is a DMP, why it is important and how someone can create a DMP (practical), are discussed during this first session. In the practical session, we demonstrate how the DMPOnline platform/service can be used to create efficiently a DMP.In the second part, we dive into Software Management Plans (SMPs). Together we introduce what is a research software, the purpose of an SMP, the different levels of Software Management and how someone can achieve FAIR-ness of a software. Finally we demonstrate, how a proper SMP should be planned and created during a research project. New in Version 2.0, some slides from the previous presentation have been removed and in their place, new slides have been added. In addition, the whole structure of the presentation has been re-organized, to make sure that there is a smooth flow and the proper information is conveyed to the attendants. This presentation is part of the workshop series, provided by the Geo Data Team (Faculty of Geosciences) in collaboration with the Beta Data Team (Faculty of Sciences) of Utrecht University in Autumn … show more show less

https://doi.org/10.5281/zenodo.10201414

data management plan dmp software management plan smp research software FAIR RDM utrecht university

Oct 24, 2023 1.0.0 Presentation CC-BY-SA-4.0

Power of Python for GIS

Speed, Garrett , Treep, Jelle , Kandylas, Aristotelis

This presentation, Power of Python in GIS, was for the PhD Research Day for the Faculty of Geosciences at Utrecht University. This presentation is a quick overview of the Geo Data Team Services at Utrecht University, Research Engineering, GIS Data, Python as a programming language, and how to get started with Jupyter Notebooks. In this repository you will find our presentation slides in .pptx, .pdf, and .odp files, as well as the example Jupyter notebooks in their native .ipynb format. The example data used in the presentation can also be found in the data folder. The GitHub repository can be found here: UtrechtUniversity/gis-python-powerThis workshop is licensed as CC-BY-SA, please share, adapt, and learn. This presentation, Power of Python in GIS, was for the PhD Research Day for the Faculty of Geosciences at Utrecht University. This presentation is a quick overview of the Geo Data Team Services a… show more show less

https://doi.org/10.5281/zenodo.10034382

python jupyter gis

Jan 18, 2024 v2024-01-18 Other CC-BY-4.0

Privacy scan - template

Romero Pastrana, Francisco

This upload contains a template for the privacy scan as used in the Faculty of Geosciences at Utrecht University. The Privacy Scan (formerly known as Privacy Review) is a tool developed at the Geosciences Faculty designed to facilitate the process of evaluating and documenting a project’s GDPR compliance. All projects in the Geosciences faculty that process personal data need to undergo a Privacy Scan. The privacy scan of a project needs to be started at the same time the project is being designed, in order to implement the Data Protection by Design and by Default principles of the GDPR. The privacy scan is 'living document': it is meant to be continuously edited and updated alongside the project life cycle, to always provide up-to-date documentation of the project’s compliance. For as long as personal data is processed (and storage is a type of processing), there should be a privacy scan that documents where data is being stored/processed, who is responsible for the project (and how can they be contacted), and when data will be completely deleted/anonymized – all details that demonstrate why this personal data processing is compliant with the GDPR. The responsibility to start and maintain a privacy scan rests with the individual(s) in charge of the project. For more information about the privacy scan in the Geosciences faculty, please refer to the Geo data support site. For more general information on how to handle personal data in research at Utrecht University, see the Data Privacy Handbook. This upload contains a template for the privacy scan as used in the Faculty of Geosciences at Utrecht University. The Privacy Scan (formerly known as Privacy Review) is a tool developed at the Geoscie… show more show less

https://doi.org/10.5281/zenodo.10527709

Jul 13, 2023 1.0 Presentation CC-BY-4.0

Research Data Management Workshop for WIMBY project

Maisam M. Dadkan , Garrett Speed , Francisco Romero Pastrana

WIMBY (Wind In My BackYard) is a Horizon Europe project between 16 European research institutes to advance social awareness and engagement on large wind power installations in the EU. UU’s Copernicus Institute of Sustainable Development is one of the main partners in the project. UU will ensure that data sets are complete and will work with the partners of each one of the individual tasks producing spatial data, to align the metadata with the INSPIRE technical guidelines and FAIR principles. Moreover, the UU will produce data sets that can be used easily by the web-GIS interactive platform and third-party users, which could get access to the data either via the web-GIS interactive platform or the open-access repositories where the final data sets are going to be stored. The process includes the selection of formats that provide the best compromise between wide use, storage size, performance, and suitability to transform the results of other WPs to these selected formats. To achieve the above-mentioned goals and objectives, it was decided that the Geo Data Team at Utrecht University provides a set of workshops on different topics in Research Data Management (RDM) and Open Science. The workshops aim to provide the consortium members with basic knowledge of RDM and the best practices. The workshop covers the following topics: Introduction to Research Data Management & Open Science Data Organization & Documentation Data Storage & Backup Data Sharing/Publication & Archiving Data Privacy & Security Research Data Management tools WIMBY (Wind In My BackYard) is a Horizon Europe project between 16 European research institutes to advance social awareness and engagement on large wind power installations in the EU. UU’s Coper… show more show less

https://doi.org/10.5281/zenodo.8142292

Research data management Open Science FAIR Open data Utrecht university RDM WIMBY Geo Data Team

Oct 14, 2024 Project deliverable CC-BY-4.0

Self-reflection guide Human-Related Big Data Research (MBDO)

Leurs, Koen , Quené, Hugo , Bosch, van den, Antal , Es, van, Karin , Kessels, Leon, de Liagre Böhl, Frans , Huijser, Dorien

This Self-Reflection Guide is a tool for researchers and research teams within the Faculty of Humanities (HUM) of Utrecht University (UU), designed to invite them to self-reflect on their research plans, so that they can conduct non-contact Human-Related Big Data Research (MBDO) while abiding to the law and frameworks of scientific integrity. The goals are to ensure this type of studies are conducted in an ethical and lawful manner within the Faculty of Humanities, on the basis of a 'yes-but' model, taking into account ethics, privacy and data management at all stages of the research. In principle, MBDO research does not have to assessed by the Humanities Faculty Ethics Comittee (FEtC-H). Plans for Big Data studies where researchers interact with data subjects should apply for ethical approval from the FEtC-H. Acknowledgements The initiative to compile the Self Reflection Guide came last year from then-Vice Dean of Research and Impact, Ted Sanders. The working group consisted of researchers Antal van den Bosch and Karin van Es, chairs of the FEtC-H chambers Koen Leurs and Hugo Quené, privacy officer Leon Kessels, and data managers Dorien Huijser and Frans de Liagre Böhl. The final guide was created under the guidance of policy advisor Wietske Tinga in consultation with technician of the Centre for Digital Humanities Sander Prins, project leader of Research Portal and secretary of the FEtC-H Desiree Capel and representatives of the review committees of the other faculties. This Self-Reflection Guide is a tool for researchers and research teams within the Faculty of Humanities (HUM) of Utrecht University (UU), designed to invite them to self-reflect on their research pla… show more show less

https://doi.org/10.5281/zenodo.13990170

academic research scientific research research data management

Mar 07, 2024 1.1 Presentation CC-BY-4.0

Sharing data within UU and Outside

Brunst, Vincent

Collecting and generating data is one thing, but to make data ready for sharing with collaborators from UU and external institutes, asks for different preparations. There are different platforms available to choose from, in addition it is important to provide the data in a suitable way and format with sufficient documentation. In this workshop the different platforms for sharing data will be treated, also considering the type of data to be shared, user-friendliness of the platform and possibilities in granting access to the data. This allows you to determine which methods and platforms to share your research data will suit you best. Sharing data within UU and outside is one of the series of micro-RDM workshops at the Faculty of Geosciences of Utrecht University. In the new version of this workshop, we cover the following topics (1.5 hour): Presentation: What to consider when Sharing Data How to Share Data with SURFDrive How to Share Data with Yoda How to Share Data with OneDrive / Sharepoint Demo: Demonstration of different functionalities in SurfDrive, Yoda and OneDrive when sharing data Assignment: Identify a dataset typical to share Mention a sharing platform What material would be offered besides the data Interest in reasons why others use your data Sharing personal or otherwise sensitive data Collecting and generating data is one thing, but to make data ready for sharing with collaborators from UU and external institutes, asks for different preparations. There are different platforms avail… show more show less

https://doi.org/10.5281/zenodo.10805324

Research data management RDM Sharing data Data Encryption SurfDrive OneDrive / Sharepoint Yoda Legal agreements Disclosing data Collaborator Document

Jul 20, 2023 v2023.07.20 Software MIT-LICENSE

Text Mining with I-Analyzer & R

Moopen, Neha, Rapisarda, Stefano, Thole, Lena, Franzke, Andreas, Flores, Jacques

This is the first release of this repository since it was created. This version will be archived on Zenodo to obtain a DOI. You can use the release tag v2023.07.20 if you want to find the workshop materials as they were in mid-2023. We are attempting to use Calendar Versioning - CalVer in place of Semantic Versioning - SemVer. Since this is not a software project, we don't have strict rules for denoting changes that are major/minor/patches and we will likely make annual releases. This leaves us with YYYY.MM.DD -> v2023.07.20 for the release tag. This is the first release of this repository since it was created. This version will be archived on Zenodo to obtain a DOI. You can use the release tag v2023.07.20 if you want to find the workshop ma… show more show less

https://doi.org/10.5281/zenodo.8167970

Feb 29, 2024 v2024-02-27 Presentation CC-BY-4.0

Turn the GDPR burden into an asset: Sharing and reusing personal data

Romero Pastrana, Francisco , Huijser, Dorien

This upload contains the slides presented in the parallel session "Turn the GDPR burden into an asset - Sharing and reusing personal data within the Social Science & Humanities (SSH track)" of the event "Teaming Up Across Domains", which was held on February 27th in Utrecht, the Netherlands. Session summary Sharing and reusing personal data in the age of the GDPR can be a challenge. Lack of clarity and certainty on how to achieve compliance in scientific research has become a burden for both researchers and data support staff and gets in the way of researchers teaming up with other disciplines. To address this issue at large, the 'privacy scan' can be used as a tool to approach GDPR compliance from a different perspective.In this interactive workshop, we aim to demonstrate the privacy scan framework, and discuss cases within the Social Sciences & Humanities (SSH) in which sharing personal data seems too difficult at first. From there, we will broaden the discussion to the larger roadblocks that we might have to take steps to resolve nationally.Bring your challenging cases and questions and get ready for a hands-on hour on how to use the GDPR to science’s advantage and to allow for more teaming up with SSH data! More information Collaborative session notes: edu.nl/y4kak Privacy scan: https://doi.org/10.5281/zenodo.10527708 Data Privacy Handbook: https://uu.nl/privacyhandbook Program Teaming Up Across Domains: https://tdcc.nl/evenementen/teaming-up-across-domains/ This upload contains the slides presented in the parallel session "Turn the GDPR burden into an asset - Sharing and reusing personal data within the Social Science & Humanities (SSH track)" of the… show more show less

https://doi.org/10.5281/zenodo.10726850

Jul 20, 2023 v2023.07.20 Software OTHER-OPEN

UtrechtUniversity/workshop-computational-reproducibility: initial release for archiving - v2023.07.20

Barbara Vreede, Neha Moopen, Bianca Kramer, Jonathan de Bruin, Jeroen Ooms, Menno Fraters

This is the first release of this repository since it was created. This version will be archived on Zenodo to obtain a DOI. You can use the release tag v2023.07.20 if you want to find the workshop materials as they were from 2018 to mid-2023. Following this release, we will reorganize the workshop materials into a Quarto book for better navigation and alignment with other workshops. We are attempting to use Calendar Versioning - CalVer in place of Semantic Versioning - SemVer. Since this is not a software project, we don't have strict rules for denoting changes that are major/minor/patches and we will likely make annual releases. This leaves us with YYYY.MM.DD -> v2023.07.20 for the release tag. This is the first release of this repository since it was created. This version will be archived on Zenodo to obtain a DOI. You can use the release tag v2023.07.20 if you want to find the workshop ma… show more show less

https://doi.org/10.5281/zenodo.8167842

Jul 20, 2023 v2023.07.20 Software OTHER-OPEN

UtrechtUniversity/workshop-introduction-to-R-and-data: initial release for archiving - v2023.07.20

Barbara Vreede, Jonathan de Bruin, Jacques Flores, Neha Moopen

This is the first release of this repository since it was created in 2018. This version will be archived on Zenodo to obtain a DOI. You can use the release tag v2023.07.20 if you want to find the workshop materials as they were from 2018 to mid-2023. Following this release, we will reorganize the workshop materials into a Quarto book for better navigation and alignment with other workshops. We are attempting to use Calendar Versioning - CalVer in place of Semantic Versioning - SemVer. Since this is not a software project, we don't have strict rules for denoting changes that are major/minor/patches and we will likely make annual releases. This leaves us with YYYY.MM.DD -> v2023.07.20 for the release tag. This is the first release of this repository since it was created in 2018. This version will be archived on Zenodo to obtain a DOI. You can use the release tag v2023.07.20 if you want to find the wor… show more show less

https://doi.org/10.5281/zenodo.8167878

Jul 20, 2023 v2023.07.20 Software OTHER-OPEN

UtrechtUniversity/workshop-r-for-humanities: one-time release for archiving - v2023.07.20

Neha Moopen, CatsAndBooks

This is a one-time release of this repository since it was created. This version will be archived on Zenodo to obtain a DOI. Following this release, we will likely archive the GitHub repository since we are not regularly providing this workshop. We are attempting to use Calendar Versioning - CalVer in place of Semantic Versioning - SemVer. Since this is not a software project, we don't have strict rules for denoting changes that are major/minor/patches and we will likely make annual releases. This leaves us with YYYY.MM.DD -> v2023.07.20 for the release tag. This is a one-time release of this repository since it was created. This version will be archived on Zenodo to obtain a DOI. Following this release, we will likely archive the GitHub repository since… show more show less

https://doi.org/10.5281/zenodo.8167966

Feb 22, 2024 1.0 Presentation CC-BY-4.0

UU Geosciences - Master's Research Design - Data and Privacy

Speed, Garrett , Romero Pastrana, Francisco

Presentation and assignment for the Master's course Research Design in the Faculty of Geosciences at Utrecht University. Presentation and assignment for the Master's course Research Design in the Faculty of Geosciences at Utrecht University. show more show less

https://doi.org/10.5281/zenodo.10691588

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