Towards the FAIRification of Scanning Tunneling Microscopy Images  

作　　者：Tommaso Rodani Elda Osmenaj Alberto Cazzaniga Mirco Panighel Cristina Africh Stefano Cozzini 

机构地区：[1]AREAScience Park,Padriciano99,34149,Trieste,Italy [2]CNR-1OM,Consiglio Nazionale delle Ricerche-Istituto Officina dei Materiali,S.S.14Km 163.5,Basovizza,34149,Trieste,Italy

出　　处：《Data Intelligence》2023年第1期27-42,共16页数据智能（英文）

基　　金：supported by funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No.857650;EOSC-Pillar project and European Union's Horizon 2020 research and innovation programme under grant agreement No.101007417 within the framework of the NFFA-Europe Pilot Joint Activities。

摘　　要：In this paper,we describe the data management practices and services developed for making FAIR compliant a scientific archive of Scanning Tunneling Microscopy(STM)images.As a first step,we extracted the instrument metadata of each image of the dataset to create a structured database.We then enriched these metadata with information on the structure and composition of the surface by means of a pipeline that leverages human annotation,machine learning techniques,and instrument metadata filtering.To visually explore both images and metadata,as well as to improve the accessibility and usability of the dataset,we developed"STM explorer"as a web service integrated within the Trieste Advanced Data services(TriDAS)website.On top of these data services and tools,we propose an implementation of the W3C PROV standard to describe provenance metadata of STM images.

关 键 词：PROVENANCE STM images data management FAIR metadata for nanoscience W3C PROV 

分 类 号：TN16[电子电信—物理电子学] TP391.41[自动化与计算机技术—计算机应用技术]