WiNoDa Knowledge Lab Journal_en – Page 3

A group of smiling people standing in front of an entry way, waving at the camera.

WiNoDa Project Meeting 2026 – Looking Back to Move Forward

Last week, the WiNoDa team met for its annual project meeting at the MfN in Berlin (thank you for your hospitality!). We are 20 people from 6 institutes – most

Alper Murat Kirpik, Excavation in Göbekli Tepe

WiNoDa Knowledge Lab Journal_en

Open science competencies in the object-related disciplines of Earth and human history

Results of the study “Open science competencies of researchers working with object-related data in Earth and human history” For the Open Science focus area of the WiNoDa project, attitudes, expectations,

Screenshot of my Obsidian Graph View. Pink nodes are documents related to my Moodle courses, with thicker nodes for documents containing module planning. Blue nodes are people, light blue are institutions, green are data competence centers, orange are NFDI sections, red are open science, and turquoise nodes refer to my blog posts, etc. The thickest nodes represent a collection document that serves as a kind of index.

WiNoDa Knowledge Lab Journal_en

Knowledge Management with Obsidian

I came across Obsidian on my Mastodon timeline. Some time ago, the subject of “knowledge management” was a hot topic there. The pros and cons of various software programs were

WiNoDa Knowledge Lab Journal_en

Writing better with Markdown

Much has been said and written about the gradual formation of thoughts while writing. And it’s all true!That’s why I’m still glad that I started learning to touch type at

Detail from an insect box in the darkling beetle collection. The beetles are mounted on needles with their hand- or machine-written labels

WiNoDa Knowledge Lab Journal_en

Persistent Identifiers (PID) for Physical Objects

Anyone dealing with Open Science and the FAIR principles will sooner or later encounter persistent identifiers, or PIDs. The first FAIR principle, findability, already refers to them: “(Meta)data are assigned

Slide showing the CAREFUL principles, explaining the acronym in English. On the left, the initial letters, then an icon, then an explanatory text: Title line: Be CAREFUL Subtitle: when dealing with research that may be ideologically compromised List: C - magnifying glass - Contextualization. Place all sources, objects, and data within their proper historical, political, and ideological context. Avoid dehistoricized use. A - yellow triangle with exclamation mark - Awareness. Be alert to the origins and potential misuse of materials - is it shaped by fascist or racist ideology? R - handshake - Responsibility. Take active responsibility for the ethical handling and communication of ideologically sensitive research. E - Scales - Ethics. Apply strict ethical standards - especially when dealing with human remains, racialized data, or victim narratives. F - Microscope - Factual Rigor. Maintain scholarly integrity; examine biased assumptions or inherited classifications critically. U - Brain - Understanding. Deepen the historical and disciplinary understanding of how academia can be influenced by ideology. L - Heart - Legacy Sensitivity. Acknowledge the lasting impact of research materials on individuals, communities, and contemporary discourse.

WiNoDa Knowledge Lab Journal_en

The magic of acronyms. Part 3: CAREFUL

In the first two parts of this series, I discussed two well-established and widely used sets of principles for contemporary scientific work: FAIR and CARE. I showed how condensing them

A square graphic in blue-green showing an open magazine. On the left-hand side, the words “Data Journal” appear above a bar chart, while on the right-hand side there is a green check mark in a circle. In front of the magazine is a wallet with a euro symbol, from which a 50 euro note is sticking out.

WiNoDa Knowledge Lab Journal_en

From Repositories to Data Journals

On September 30, 2025, 11:00 a.m. CEST, we will have a webinar about data journals at WiNoDa. You can find more information here. Data journals are becoming a more important

A look into the still empty event room. On the wall, you can see the slide with the logos of the participating organizations.

WiNoDa Knowledge Lab Journal_en

Three days of DataLad-Workshop & Hackathon in Aachen

In everyday research, a lot of mostly heterogeneous data is generated, which is often processed and analyzed collaboratively. This involves complex workflows and ML pipelines consisting of numerous transformation and

Screenshot of the Zenodo page for the "Learning Objectives Matrix for Research Data Management (RDM)", Version 3, published on March 24, 2025. In addition to the title and list of authors, it shows that the LOM has had over 15K views and over 14K downloads to date.

WiNoDa Knowledge Lab Journal_en

The LOM for RDM and the unevenly distributed knowledge

There is a quote by William Gibson, science fiction author, that goes: “The future is already here, it’s just not evenly distributed.”The same is true in the research landscape with

Dark textbox with rounded corners displaying in mint green letters the Acronym CARE, below each capital letter in white the explanation: C for Collective Benefit, A for Authority to Control, R for Responsibility, E for Ethics. The textbox is bordered to the left and above by a geometric pattern.

WiNoDa Knowledge Lab Journal_en

The magic of acronyms. Part 2: CARE

This blog post is part of a series. Part 1 can be found here: https://winoda.de/en/2025/08/13/the-magic-of-acronyms-part-1-fair/ Another acronym that is often mentioned in the same breath as FAIR data is CARE.