PASTA-ELN | The favorite ELN for experimental scientists

PASTA-ELN (adaPtive mAterials Science meTadatA - Electronic Lab Notebook) provides a streamlined and efficient solution for experimental scientists to manage and organize raw data alongside associated metadata. By leveraging extractors that automate the processing of raw measurement files, PASTA-ELN facilitates the seamless integration of thumbnails, data, and metadata into a centralized database. These extractors can be customized and shared by users, empowering researchers to tailor their workflows to their specific needs. To read more ... for advanced users.

Data Management Principles: The raw data at the heart of scientific research must adhere to the FAIR principles (Findable, Accessible, Interoperable, and Reusable). By supporting these principles, PASTA-ELN enables researchers to efficiently locate and organize their data. Furthermore, PASTA-ELN encourages users to adhere to research data management guidelines, which are essential for ensuring the integrity and reproducibility of scientific findings. which are given ....

User-Centered Approaches: Three distinct user stories illustrate the versatility of PASTA-ELN:

  1. Planning-Based Research: Andrew's approach involves planning his research and then executing tasks. Learn more about how to follow this path by consulting the Planning Based Research section.

  2. Importing Previous Data: Brenda's workflow involves integrating data from previous research projects. Discover how to import and consolidate your existing data by reading the Importing Previous Data section.

  3. Recording Meeting Notes: Claire's workflow focuses on structuring meeting notes and conference materials. Find out how to capture and organize your meeting notes by consulting the Recording Meeting Notes section.

Local-First Approach: PASTA-ELN employs a local-first approach, storing all data and metadata on the user's storage device and synchronizing it with a server upon request. This ensures that data remains accessible through conventional software and maintains its security and confidentiality. Additionally, researchers can customize metadata definitions and create arbitrary folder structures to accommodate their unique workflows and research objectives. This flexibility allows users to easily transfer their data to other computers, collaborators, institutions, or archives by zipping the contents of their hard disk.

Overview

Main contributors

  • Steffen Brinckmann: principal investigator, focuses on python backend

  • Jithu Murugan: developer, focuses on front-end and back-end

  • Hanna Tsybenko: testing

  • Thomas Düren: graphical user interfaces

  • Raphael Röske: graphical user interfaces

  • Enmar Al-Khafagi: backend and debugging

  • Velislava Yonkova: first extensive user

  • multiple colleagues that help with their valuable discussions