From 46928886dfef4f9169705529f36284a1a7bcbf0e Mon Sep 17 00:00:00 2001 From: Steffen Hartmeyer Date: Wed, 2 Oct 2024 11:16:53 +0200 Subject: [PATCH] Update paper.md --- paper/paper.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/paper/paper.md b/paper/paper.md index c8d533e..a2dc41b 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -76,12 +76,12 @@ Personalized luminous exposure data is progressively gaining importance across various domains, including research, occupational affairs, and lifestyle tracking. Data are collected through a proliferating selection of wearable light loggers and dosimeters, varying in size, shape, -functionality, and output format [@hartmeyer2023]. Despite or potentially because of numerous +functionality, and output format [@hartmeyer_towards_2023]. Despite or potentially because of numerous use cases, the field still lacks a unified framework for collecting, -validating, and analyzing the accumulated data [@hartmeyer2023][@spitschan2022]. +validating, and analyzing the accumulated data [@hartmeyer_towards_2023][@spitschan_verification_2022]. This issue increases the time and expertise necessary to handle such data and also compromises the FAIRness (Findability, Accessibility, Interoperability, Reusability) -of the results, especially for meta-analyses [@deVries2024]. +of the results, especially for meta-analyses [@de_vries_recommendations_2024]. `LightLogR` was designed to be used by researchers who deal with personal light exposure data collected from wearable devices. These data