Digital Data Curation and Web of Data: maintaining Linked Open Data for bibliometric and scientometric studies

被引:1
|
作者
Rautenberg, Sandro [1 ]
Hild, Tony Alexander [1 ]
de Souza, Lucelia [1 ]
机构
[1] Univ Estadual Ctr Geste, Guarapuava, PR, Brazil
来源
EM QUESTAO | 2018年 / 24卷
关键词
Digital Curation; Semantic Web; Scientometrics; Information Management; Scientific Datasets;
D O I
10.19132/1808-5245240.29-47
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
We present the first steps toward the Digital Curation of scientometric indexes as Linked Open Data on the Web of Data. As an interdisciplinary research, the methodological approach is based on the lifecycles of Digital Curation proposed by the Digital Curation Centre and Linked Data Lifecycle proposed by the Agile Knowledge Engineering and Semantic Research Group. As a result, the endpoint <http://lod.unicentro.br> is implemented and the historical resource data of three scientometric indexes (Qualis, SJR and SNIP, period 2005-2016) are curated. Therefore, these indexes are available on the Web of Data, promoting the access, reuse, interoperability and processability of digital resources in bibliometric/scientometric researches. We conclude that, by preserving the three datasets as Linked Open Data, the endpoint <http://lod.unicentro.br> allows: i) the availability of resources on the Web of Data; ii) the navigability between the resources distributed on the web; iii) the exploration of the relationship between the available elements; and iv) the replication of results in scientific studies over time.
引用
收藏
页码:29 / 47
页数:19
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