In the first step, "planning and design", important foundations are laid for the further course of the research project. Careful planning of data collection and handling is important so that potential problems can be identified and, if necessary, solved right at the beginning. The planning is recorded in a data management plan.
A DMP describes all aspects of managing research data throughout the data’s lifecycle. The document is created at the beginning of a research project.
Research data lifecycle (Graph: ETH Library)
There are different ways to create a DMP. Swissuniversities provides a helpful website for this purpose. Swissuniversities provides a website for this purpose.
Swissuniversities: DLCM 2.0 Projekt
DLCM Checklist DMP (PDF)
DLCM template for the SNSF Data Management Plan (PDF)
Swiss National Science Foundation: Data Management Plan - Guidelines for researchers
Tool for creating a DMP
Adherence to research ethics principles is an integral part of good scientific practice. This also applies to the handling of research data. Ethical aspects must be observed throughout the life cycle of research data. Many journals and publishers require a research ethics clearance before publishing an article.
A checklist is available to help you assess the ethical unobjectionability of a research project and whether a review by the HSG Ethics Committee is required. If you answer "yes" to one of the questions, it is recommended that you submit an application for review to the HSG Ethics Committee. If a project deals with medical research on humans, it may have to be submitted to and approved by the Ethics Committee Eastern Switzerland (EKOS).
HSG Ethics Committee
Checklist for the assessment of ethical unobjectionability
Application for review of a research project
Code of Conduct for Scientific Integrity of the Swiss Academies of Arts and Sciences
European Code for Research Integrity
In a preregistration, important information on hypotheses and methods is transmitted to an external body before an empirical study is conducted.
Preregistration counteracts possible falsification of research results as well as problematic research practices such as "HARKing" (forming hypotheses after the results are known). Preregistration can increase the validity and credibility of studies.
For an introduction, see Nosek et al. (2018). The preregistration revolution. PNAS 115(11), 2600-2606.
Preregistration at the Center for Open Science
The American Economic Association's registry for Randomized Controlled Trials (RCTs) in the fields of economics, political science, and other social sciences.