FAIR from the Start: Metadata and FAIR Principles for Life Science Research

This presentation was prepared for and presented at a webinar organised by the Faculty of Medicine at Lund University (https://www.intramed.lu.se/en/research/publishing-your-research/open-science-webinars) on 23th October 2026, titled "FAIR from the Start: Metadata and FAIR Principles for Life Science Research."The presentation introduced the importance of metadata and the FAIR Data Principles - Findable, Accessible, Interoperable, and Reusable in life science research. It covered practical approaches to documenting and managing metadata throughout the research data lifecycle, improving data discoverability, reproducibility, and reuse. The session also highlighted FAIR principles for sensitive data and the role of well-structured metadata in making research data more machine-actionable and AI-ready.

Authors

Publication Details

Journal
SciLifeLab Data Repository
Published
2026-10-30
DOI
https://doi.org/10.17044/scilifelab.34858344
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FAIR from the Start: Metadata and FAIR Principles for Life Science Research

Parul Tewatia
1 links
SciLifeLab Data Repository
Research Data Management Practices
article

FAIR from the Start: Metadata and FAIR Principles for Life Science Research

Parul Tewatia
article en

Abstract

This presentation was prepared for and presented at a webinar organised by the Faculty of Medicine at Lund University (https://www.intramed.lu.se/en/research/publishing-your-research/open-science-webinars) on 23th October 2026, titled "FAIR from the Start: Metadata and FAIR Principles for Life Science Research."The presentation introduced the importance of metadata and the FAIR Data Principles - Findable, Accessible, Interoperable, and Reusable in life science research. It covered practical approaches to documenting and managing metadata throughout the research data lifecycle, improving data discoverability, reproducibility, and reuse. The session also highlighted FAIR principles for sensitive data and the role of well-structured metadata in making research data more machine-actionable and AI-ready.

SciLifeLab Data Repository
Openalex Percentile: Top 6%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon