CONSULTING SERVICE

FOR RESEARCHERS FROM ALL DISCIPLINES

Basic support for proposal preparation or during the research process, typically through 1-2 consultations.

Example 1 – Introduction to FAIR Principles and Data Management Plan: A researcher needs an initial overview of the FAIR principles and assistance in creating a basic DMP for a new project proposal. In a consultation, our data expert explains the fundamentals of the FAIR principles, their significance, and their application in research projects. The expert helps structure the DMP and provides specific recommendations for integrating the FAIR principles.

Example 2 – Exploring New Analysis Methods: A researcher wants to identify the best analysis methods for their data. During a consultation, our data expert introduces various statistical methods and machine learning techniques relevant to their specific datasets. The expert discusses the basics of techniques such as linear regression, decision trees, and clustering methods. Additionally, the researcher receives recommendations on software tools like R and Python and initial steps to apply these methods to their own data.

Example 3 – Increasing the Visibility of Your Research: A researcher aims to enhance the visibility of their research results. In a consultation, our data expert discusses how proper archiving and publication of research data can improve visibility. The expert offers recommendations on using data repositories that ensure high discoverability and accessibility and demonstrates how to create and maintain metadata to guarantee the reusability of the data. Furthermore, the researcher receives tips on creating data visualizations and documenting data to increase the appeal and clarity of their research findings.

Customized support on specific data management and/or data science topics or tasks in the proposal phase and/or research process, through regular meetings over several weeks or months.

Example 1 – Strategic Advice on Data Management Planning: A research team planning a large project requires assistance in developing and implementing a comprehensive data management strategy/DMP. Our data expert helps you create secure storage and documentation methods and advises on long-term archiving. Over several weeks or months, the expert will support your team with data integration and metadata standards implementation through regular consultations and feedback sessions. Additionally, specific training sessions for project participants can be arranged.

Example 2 – Customized Consultation on Data Analysis: A researcher seeks to conduct an in-depth data analysis to uncover patterns and trends in their datasets. Our data expert provides guidance on data processing and helps select and apply advanced statistical techniques or AI methods. Throughout several months, the expert offers tailored recommendations and answers questions during regular consultation sessions. Topics such as effective data visualization and result interpretation can also be discussed.

Example 3 – Quality Assurance of Data Interpretations: A research team aims to ensure the accuracy and reliability of their data interpretations and findings. Our expert supports the team through regular meetings, sharing techniques for validating and verifying results. This includes methods for maintaining data quality, detecting and correcting errors, and ensuring reproducibility. The expert also provides feedback on the analysis methods used and assists in optimizing data interpretation to achieve meaningful and dependable results.

Our intensive collaboration model involves integrating a DSC-expert directly into your research project. Following the “Rent an Expert” concept, our expert works closely with your team, taking on critical roles in data management and/or data analysis to ensure the project’s success.

Example 1 – Implementing a Data Management Strategy: A research team plans a long-term project with large data volumes and needs comprehensive support to implement a data management strategy. The DSC expert is integrated into the project and takes on crucial roles in developing and executing the DMP. This includes designing secure storage solutions, establishing data integration processes, and implementing metadata standards. The expert collaborates closely with the project team to ensure that all aspects of data management are aligned with project goals and that data is efficiently managed throughout its lifecycle.

Example 2 – Conducting Complex Data Analyses: A research team is working on a project that requires the analysis of complex datasets to identify significant patterns and trends. Our expert is integrated into the team and actively participates in data processing, the selection and implementation of advanced statistical methods, and/or the application of machine learning techniques. The expert performs analytical tasks, contributes to the interpretation and visualization of results for publications, and ensures through close collaboration that the data analysis is precise and leads to valuable scientific insights.

Example 3 – Coordinated Support from Proposal to Project Completion: A research team needs support from the proposal stage to the completion of a complex data science project. The DSC expert is involved from the start, taking on significant tasks throughout all project phases. This includes contributing to the project proposal with detailed data management and analysis plans, continuously monitoring and adjusting data processing during the project, and final validation, documentation, and publication of results. The expert works closely with the team to ensure all project goals are met and that the research findings are of high quality and relevance.