000109651 001__ 109651 000109651 005__ 20240319080948.0 000109651 0247_ $$2doi$$a10.3390/ijgi11010027 000109651 0248_ $$2sideral$$a125595 000109651 037__ $$aART-2022-125595 000109651 041__ $$aeng 000109651 100__ $$0(orcid)0000-0003-0287-9488$$aMartin-Segura, Sergio$$uUniversidad de Zaragoza 000109651 245__ $$aThe problem of reference rot in spatial metadata catalogues 000109651 260__ $$c2022 000109651 5060_ $$aAccess copy available to the general public$$fUnrestricted 000109651 5203_ $$aThe content at the end of any hyperlink is subject to two phenomena: the link may break (Link Rot) or the content at the end of the link may no longer be the same as it was when it was created (Content Drift). Reference Rot denotes the combination of both effects. Spatial metadata records rely on hyperlinks for indicating the location of the resources they describe. Therefore, they are also subject to Reference Rot. This paper evaluates the presence of Reference Rot and its impact on the 22,738 distribution URIs of 18,054 metadata records from 26 European INSPIRE spatial data catalogues. Our Link Rot checking method detects broken links while considering the specific requirements of spatial data services. Our Content Drift checking method uses the data format as an indicator. It compares the data formats declared in the metadata with the actual data types returned by the hyperlinks. Findings show that 10.41% of the distribution URIs suffer from Link Rot and at least 6.21% of records suffer from Content Drift (do not declare its distribution types correctly). Additionally, 14.94% of metadata records only contain intermediate HTML web pages as distribution URIs and 31.37% contain at least one HTML web page; thus, they cannot be accessed or checked directly. 000109651 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000109651 590__ $$a3.4$$b2022 000109651 592__ $$a0.738$$b2022 000109651 591__ $$aGEOGRAPHY, PHYSICAL$$b18 / 49 = 0.367$$c2022$$dQ2$$eT2 000109651 593__ $$aEarth and Planetary Sciences (miscellaneous)$$c2022$$dQ1 000109651 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b88 / 158 = 0.557$$c2022$$dQ3$$eT2 000109651 593__ $$aGeography, Planning and Development$$c2022$$dQ1 000109651 591__ $$aREMOTE SENSING$$b21 / 34 = 0.618$$c2022$$dQ3$$eT2 000109651 593__ $$aComputers in Earth Sciences$$c2022$$dQ2 000109651 594__ $$a6.2$$b2022 000109651 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000109651 700__ $$0(orcid)0000-0001-6491-7430$$aLopez-Pellicer, Francisco Javier$$uUniversidad de Zaragoza 000109651 700__ $$0(orcid)0000-0002-1279-0367$$aNogueras-Iso, Javier$$uUniversidad de Zaragoza 000109651 700__ $$0(orcid)0000-0003-3071-5819$$aLacasta, Javier$$uUniversidad de Zaragoza 000109651 700__ $$0(orcid)0000-0002-6557-2494$$aZarazaga-Soria, Francisco Javier$$uUniversidad de Zaragoza 000109651 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000109651 773__ $$g11, 1 (2022), 27 [21 pp]$$pISPRS int. j. geo-inf.$$tISPRS International Journal of Geo-Information$$x2220-9964 000109651 8564_ $$s355545$$uhttps://zaguan.unizar.es/record/109651/files/texto_completo.pdf$$yVersión publicada 000109651 8564_ $$s2894673$$uhttps://zaguan.unizar.es/record/109651/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000109651 909CO $$ooai:zaguan.unizar.es:109651$$particulos$$pdriver 000109651 951__ $$a2024-03-18-12:49:06 000109651 980__ $$aARTICLE