How To: Good Scientific Practice

• C. Hillen
• Data , RDM , good scientific practice

“Scientific integrity forms the basis for trustworthy research”, so it says in the Guidelines for Safeguarding Good Research Practice of the DFG, the German Research Foundation. As a major funder of research in Germany the DFG, as well as many other funders of research in Germany and the European Union, requires researchers to follow a certain set of rules conducting their research. These rules are called “good scientific practice” and have to be followed by researchers to be viable for funding. According to the guidelines researchers are required to “document all information relevant to the production of a research result as clearly as is required by and is appropriate for the relevant subject area to allow the result to be reviewed and assessed”. But good scientific practice is not done by documenting your research. It also includes i.a. protecting the personality rights of your subjects and handling research data in an appropriate manner by e.g. “back(-ing) up research data and results made publicly available, as well as the central materials on which they are based and the research software used, by adequate means according to the standards of the relevant subject area, and retain them for an appropriate period of time.” This is where Research Data Management (RDM) comes in. Of course RDM is much more than just creating a backup of your data on a USB-Stick and handing it over to anyone asking for it. “Good scientific practice” in RDM follows the FAIR principles:

LaTeX for Academic Publishing

We are happy to announce another event of our well received Carpentries workshop “LaTeX for Academic Publishing”. This time the event will take place on October 27th/28th at University of Duisburg-Essen, Campus Essen, and therefore serves as a satellite event to our Data Café - Summer Closing Edition on October 28th in Essen. The workshop will cover the basics of structuring and writing a LaTeX document, as well as including graphics, tables, managing references, and other common tasks.

Archaeoanalysis of Metadata Processing – Hackathon

Join us for a multi-day event where we will dive into bibliographic metadata. This is a multi-disciplinary event for researchers and students to come together to explore a dataset together, sharing their expertise and building resuable tools and workflows. No prior experience is needed - just bring a laptop! Consultants from DKZ.2R will be on hand to help implement ideas and provide support with data retrieval, cleaning, and transformation.