Naslov
Current state of the preprint servers’ web accessibility

Autori
Dobrača, Igor ; Majdandžić, Matej ; Malički, Mario ; Baždarić, Ksenija

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
PUBMET 2022 Book of abstract / Cupar, Drahomira ; Džoić, Zrinka - Zadar : Sveučilište u Zadru, 2022, 58-58

Skup
PUBMET 2022: The 9th Conference on Scholarly Communication in the Context of Open Science

Mjesto i datum
Zadar, Hrvatska, 14.09.2022. - 16.09.2022

Vrsta sudjelovanja
Poster

Vrsta recenzije
Recenziran

Ključne riječi
open science ; preprint server ; WAVE ; WCAG ; web accessibility

Sažetak
Background. The concept of open science is related to several domains: open research data, open communication infrastructures, new metric indicators of scientific quality and impact, open and early sharing of scientific publications, concern for research integrity and public involvement in the scientific process (Open Science Factsheet, 2019). Early sharing of scientific publications is made possible by preprint servers (Fu & Hughey, 2019). Preprinting is an open science practice that allows deposition and distribution of manuscripts before submitting them to a journal for peer-review (Baždarić et al., 2021). Aim. To test web accessibility of preprint servers for persons with various visual, verbal, or other disabilities (15% of the general population) (Campoverde-Molina et al., 2021) as one of the core human right and a priority of the World Wide Web Consortium. Methods. We included 54 preprint server homepages (ASAP bio list ; https://asapbio.org/preprintservers) with the WAVE Web Accessibility Evaluation Tool (https://wave.webaim.org/), one of the most used automated tools to test web accessibility, which relies on the Web Content Accessibility Guidelines (WCAG v. 2.1) method (Campoverde-Molina et al., 2021). WAVE results are grouped into six categories: Errors, Contrast Errors, Alerts, Features, Structural Elements, and ARIA. Results: Of the 54 server homepages, 47 could be tested. Most frequent Errors based on WCAG 2.1 are: 2.4.4 Link Purpose In Context (49%) and 1.1.1 Non-text Content (47%). Almost half the sites (45%) have Contrast Error (WCAG 1.4.3). Alerts are mainly related to 1.3.1 Info and Relationships (74%), 2.4.6 Headings and Labels (66%) and 2.4.1 Bypass Blocks (60%). Features errors are related to 3.1.2 Language of Parts (89%) and 1.1.1 Non- text Content (62%). Results for measure Structural elements are all over 60%: 1.3.1 Info and Relationships (68%), 2.4.1 Bypass Blocks (68%) and 2.4.6 Headings and Labels (64%). For measure ARIA only 4.1.2 Name, Role, Value (53%) have results over 50%. Conclusion: This automated test clearly shows that there is still ample room for preprint servers to improve accessibility to their web pages, but manual detection is needed to overcome possible mismatches made by an automated tool.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA