{"title":"A roadmap for advancing plant phenological studies through effective open research data management","authors":"Barbara Templ","doi":"10.1016/j.ecoinf.2025.103109","DOIUrl":null,"url":null,"abstract":"<div><div>Phenological research, critical for understanding ecological dynamics in response to environmental changes, increasingly relies on Open Research Data Management (ORDM) to enhance scientific outcomes. Based on insights from a structured survey conducted among phenology experts, this paper explores how the adoption of FAIR principles - Findability, Accessibility, Interoperability, and Reusability - directly addresses the unique challenges of phenological data, such as inconsistent metadata, variability in data collection methods, and difficulties in data integration. This synthesis not only highlights the obstacles faced by phenologists but also proposes strategic solutions highlighting a clear call to action steering phenological research toward a more collaborative and open science future.</div></div>","PeriodicalId":51024,"journal":{"name":"Ecological Informatics","volume":"87 ","pages":"Article 103109"},"PeriodicalIF":5.8000,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Informatics","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1574954125001189","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Phenological research, critical for understanding ecological dynamics in response to environmental changes, increasingly relies on Open Research Data Management (ORDM) to enhance scientific outcomes. Based on insights from a structured survey conducted among phenology experts, this paper explores how the adoption of FAIR principles - Findability, Accessibility, Interoperability, and Reusability - directly addresses the unique challenges of phenological data, such as inconsistent metadata, variability in data collection methods, and difficulties in data integration. This synthesis not only highlights the obstacles faced by phenologists but also proposes strategic solutions highlighting a clear call to action steering phenological research toward a more collaborative and open science future.
期刊介绍:
The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change.
The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.