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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.

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.

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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.

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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.

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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.

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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.

Graphic of the FAIR data Principles. The acronym is written out in full in the first line, with a magnifying glass for Findable, a hand placing a finger on a dot for Accessible, cogwheels for Interoperable and the recycling symbol for Reusable as symbols below it

WiNoDa Knowledge Lab Journal_en

The magic of acronyms. Part 1: FAIR

Do you recognize this?You read something and then you think something else because of that, and this Something is so banal, so self-evident, so obvious – and then you want

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The many forms of knowledge transfer

The communication of knowledge requires different forms for different formats – so far, so good. For the Research Data Day, for example, we developed the Data Clues. This was a

Pie chart displaying the participants at the online workshop "Mapping learning resourcese and identifying gaps in data competence portfolios". They are: DALIA, WiNoDa, SODa, Come2Data, HERMES, de.KCD, RDMTraining4NFDI, RDM State Initiative Lower Saxony, NFDI4Earth, AquaINFRA

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Mapping RDM training resources in data competence portfolios: A success story

June 26, the WiNoDa and DALIA teams hosted a dynamic three‑hour online workshop on “Mapping learning resources and identifying gaps in data competence portfolios.” We brought together participants from data

Metaplan wall with many different pieces of paper connected to each other with colored threads of yarn

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“Data Clues” – a material knowledge graph

For the Bremen Research Data Day, our WiNoDa colleagues from gfBio had registered us quite early for the “FAIRplay Station”. Like last year, they wanted to participate with the game

Four circles with cartoon figures: upper left, a blue circle shows a woman with long black hair and a blue sweater, titled Anita, Academic. upper right, a pink circle with the head of a bespectacled man, titled Kai, Collection Curator. lower left, a green circle with a bearded man, titled Dave, Data Enthusiast. lower right, a woman with a blue headscarf and a lab coat titled Susan, Senior Scientist

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Who cares (hopefully)?

My main task at WiNoda is to create self-study courses on various topics that we want to make available via Moodle.The range of courses on research data management is already