What counts as "research data"?

Measurements, survey responses, images, code, simulations, interviews, sensor readings, field notes, 3D scans — all of it.

Research data are any data created, collected, or evaluated during scientific work. And they all deserve proper management.

👉 https://forschungsdaten.info/themen/informieren-und-planen/was-sind-forschungsdaten/

#ResearchData #RDM #DataLiteracy #Science
— bos

💡Improve your digital research skills

Join our Data Literacy Summer Workshop Series 2026 – a structured introduction to key areas of contemporary digital research practice @goetheuni.

📅 All sessions online via Zoom, self-contained in English or German.

🔗 For more information and registration: https://www.ub.uni-frankfurt.de/veranstaltungen/home.html#data-literacy-summer-2026

#DataLiteracy #DigitalResearch #OpenScience #ResearchDataManagement #DigitalHumanities #OpenAccess #AcademicWorkshops #Research #HigherEd

So wird Programmieren ein Kinderspiel: auch im Sommersemester bieten wir wieder unseren Grundkurs #Python für Studierende aller Fächer an. Im Bereich #Datenkompetenz gibt's außerdem den Kurs Datenanalyse 2.0, diesmal mit Inhalten wie Webscraping und der Verwendung des Pandas-Pakets, die Vorlesung zur #Wissenschaftsreflexion und der Kurs zur #Informationskompetenz unseres Kooperationspartners, der #UBMainz. Anmeldung läuft!

#Studiumgenerale #UniMainz #dataliteracy

Research data have a lifecycle — and every stage matters.

🔄 Plan → Collect → Process → Analyze → Preserve → Share → Reuse

Generally one thinks first about the "Analyze" part. But how you plan, document, and store your data determines whether anyone (including future you) can ever use it again.

👉 https://forschungsdaten.info/themen/informieren-und-planen/was-ist-forschungsdatenmanagement/

#ResearchData #DataLifecycle #RDM #DataLiteracy
— bos

🎉 #HERMES war bei der #DHd2026 in Wien dabei – und wir berichten!

📖 Was euch im Beitrag erwartet:

▶️ Ein Workshop zu fachspezifischen Metadaten für Open Educational Resources (#OER)
▶️ Ein Vernetzungstreffen zur möglichen Gründung einer DHd-AG
▶️ Ein Poster zum Format „Data Challenge"
▶️ Ein Vortrag im Doctoral Consortium
▶️ Eindrücke aus Wien

🔗 Den vollständigen Beitrag findet ihr hier: https://hdl.hypotheses.org/4881

#DigitalHumanities #DataLiteracy #GLAM #NFDI #Konferenzrückblick

Can your analysis be reproduced by someone else? By you, in six months?

Reproducibility isn't just about publishing code — it's about documenting your environment, your data, and every decision along the way.

Small steps: use virtual environments, pin your dependencies, write a README.

👉 https://the-turing-way.netlify.app/reproducible-research/

#Reproducibility #OpenScience #ResearchData #DataLiteracy
— bos

Stuck on a data problem in your research project? Not sure which tool or method fits?

Our Rent-an-Expert program matches you with a data specialist who works alongside you — tailored support for your specific challenge, not a generic tutorial.

Free for researchers in the Rhine-Ruhr region.

👉 https://dkz2r.de/activities_offers/consulting/

#DataScience #ResearchSupport #Consulting #DataLiteracy
— bos

Research data is only as valuable as its accessibility. The FAIR principles (Findable, Accessible, Interoperable, Reusable) aren't just buzzwords — they're the foundation of reproducible science.

Not sure where to start? We offer free consulting to help you make your data FAIR from day one.

👉 https://dkz2r.de/activities_offers/consulting/

#ResearchDataManagement #FAIRData #OpenScience #DataLiteracy
— bos