Setting new standards

Research data and software management is as diverse as the disciplines it supports. The aim of New Standards is to show it in all its facets. With researchers from different fields, we discuss the parameters that define their research, the values they prioritize, and what their work looks like beyond the computer screen.

Code-breaking news

Where it all began. Follow the timeline of research data and software!

Team effort

Explore the dimensions of research data and software management.

With and for Computer Science

Find out more about the project behind all of this: NFDIxCS.

The broader picture

Interview Alexandra Resch

Ulrike Lucke, co-spokesperson for the NFDIxCS project, talks about behind-the-scenes discussions and best-case scenarios.

Community is key

Interview Elena Müller

Michael Goedike about one of the most important factors in research data and software.

Top-down and bottom-up

Interview Paul Reinelt

Anne Koziolek's goal is to make the quality of research data measurable and to improve it in the long term.

It often comes down to:
Just trust us!

How can research data be versioned as reliably as software? This is precisely what Agnes Koschmider is working on with NFDIxCS. In this interview, she talks about why computer science still has some catching up to do in this area—and how a standardized solution could make research more transparent and credible.

It's raining data

Josie König is diving into the storm of data with her work, using Bayesian methods.

The data of drama

Literary analysis and theatre play may not be the first things that come to mind in the context of research data. But in the field of digital literary studies, a functioning database is essential to compare and analyze large bodies of texts.

Questions of life, the Universe and everything

You might think that you study very dense sets of data, but Tim Dietrich certainly works on more dense objects. He specializes in black holes and neutron stars. In his research he runs complex simulations which lead to potential answers to the big questions of our Universe – and to endless amounts of data.

Lessons learned from Educational Tech

Michael Striewe and Sven Stickroth give insights into their collaboration on a database of e-assessment systems.

Putting communities on the map

In Namibia, Menare Royal Mabakeng, is doing research in collaboration with local communities. That brings precious insights, but also challenges for research data management.

... Bioinformatics

Melissa Harrington works on databases in molecular biology.

... Education

Daniel Schiffner talks about lessons learned in Educational Science.

... Geoinformatics

Trent Hare is dealing with data that was collected light years away.

“Things don't always need to be rebuilt individually.”

Identifying recurring basic services that can be reused is one of the strengths of institutions that do a lot of research data management, says Ramin Yahyapour, one of the founders of the e-research alliance.

“What use is data without software?”

As chair of Software Engineering at University of Potsdam, Anna-Lena Lamprecht makes the case that most researches are in practice software developers.

... the artist

Julia Janssen has a very unique view of data management – and makes a strong case for more interdisciplinarity in research.

... the archivist

Millions of people worldwide work transparently and collaboratively in open source projects. Roberto di Cosmo and his team have been working on making their efforts accessible for a long time.

Not done yet?

Here's how to get involved with the NFDIxCS project.

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Setting new standards

Code-breaking news

Team effort

With and for Computer Science

The broader picture

Community is key

Top-down and bottom-up

It often comes down to:
Just trust us!

It's raining data

The data of drama

Questions of life, the Universe and everything

Lessons learned from Educational Tech

Putting communities on the map

Every field is different:
Conversations in ...

... Bioinformatics

... Education

... Geoinformatics

“Things don't always need to be rebuilt individually.”

“What use is data without software?”

Perspectives from ...

... the artist

... the archivist

Not done yet?

Setting new standards

Code-breaking news

Team effort

With and for Computer Science

The broader picture

Community is key

Top-down and bottom-up

It often comes down to:Just trust us!

It's raining data

The data of drama

Questions of life, the Universe and everything

Lessons learned from Educational Tech

Putting communities on the map

“Things don't always need to be rebuilt individually.”

“What use is data without software?”

Cookie Settings

It often comes down to:
Just trust us!