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     url: https://lse.de/
     affiliation: Global Health Engineering, ETH Zurich
     affiliation-url: https://ghe.ethz.ch
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docs/3-blog/posts/2024-03-08-swissrn-abstract/index.md

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+# Plan for tomorrow today: why you need a data steward
+Lars Schöbitz
+2024-03-13
+
+# Conference info
+
+## Selected Topic: Transparency and Open Scholarship
+
+Explore the transformative wave of open scholarship, emphasizing the
+importance of transparency in the research lifecycle. From
+pre-registration and registered reports to open access publications,
+research data, and code—this session illuminates the pivotal role of
+open practices in fostering trust and collaboration in the scientific
+community.
+
+## Conference Goals
+
+- Engage with researchers to make their research rigorous, transparent
+  and reproducible
+- Promote RTR research practices
+- Disseminate ways to improve research quality
+
+## Opportunities and Exposure:
+
+- Foster scientific exchange across all disciplines in Switzerland
+- Provide the research community with a unique exposure to resources,
+  expertise, and approaches in reproducible research
+
+# Title: “Plan for tomorrow today: why you need a data stewar” (10 / 40 words)
+
+# Abstract (350/350 words)
+
+This talk will promote the RTR research practices we have applied to
+research at the Chair of Global Health Engineering (ETH Zurich) and the
+scientific community. Using our group as a case study example, we will
+highlight our approach to producing open data and code as individual
+research products and explain how they are separate from and sometimes
+more valuable than the scientific articles derived from them.
+
+The R package development environment allows researchers to keep an
+audit trail from unprocessed raw data to analysis-ready data. Data is
+stored in a git repository on GitHub with the code for data processing,
+rich metadata and documentation, following FAIR data sharing principles.
+The repository contains a citation file format (.cff) file that records
+each contributor’s ORCID ID and a permissive CC-BY license. The GitHub
+to Zenodo integration allows for the automated generation of a digital
+object identifier (DOI) and ensures long-term archiving, following
+internationally recommended best practices by funding agencies. Once
+published, the entry is imported to the ETH Research Collection via the
+DOI for increased discoverability and institutional archiving. For data
+communication purposes, the R package pkgdown is ideal. Without any web
+development experience, the package allows competent R practitioners to
+prepare a visually appealing website with R code snippets showing
+exploratory data analysis examples.
+
+We invest in this process at the data collection point long before
+preparing a scientific article. The process actively promotes rigorous
+research data management practices among our students and senior staff,
+who follow best practices for transparency and open scholarship as part
+of their daily practice rather than in an ad-hoc fashion at the end of
+the project. Researchers can then use the published R data package to
+prepare a scientific article and cite the repository. In doing so, they
+can comply with the journal’s data availability statements and long-term
+archiving policies.
+
+Implementing these practices was only feasible by hiring a full-time
+data steward. We will discuss how invested financial resources will pay
+off as publishers of high-quality journals will increasingly require
+that article submissions comply with data and code transparency, the
+foundation of computational reproducibility.