D7.4 How to be FAIR with your data. A teaching and training handbook for higher education institutions

Engelhardt, Claudia; Biernacka, Katarzyna; Coffey, Aoife; Cornet, Ronald; Danciu, Alina; Demchenko, Yuri; Downes, Stephen; Erdmann, Christopher; Garbuglia, Federica; Germer, Kerstin; Helbig, Kerstin; Hellström, M.; Hettne, Kristina; Hibbert, Dawn; Jetten, Mijke; Karimova, Yulia; Hansen, Karsten Kryger; Kuusniemi, Mari Elisa; Letizia, Viviana; McCutcheon, Valerie; McGillivray, Barbara; Ostrop, Jenny; Petersen, Britta; Petrus, Ana; Reichmann, Stefan; Rettberg, Najla; Reverté, Carmen; Rochlin, Nick; Saenen, Bregt; Schmidt, Birgit; Scholten, Jolien; Shanahan, H. P.; Straube, Armin; Eynden, Veerle Van den; Vandendorpe, Justine; Venkataram, Shanmugasundaram; Wiljes, Cord; Wuttke, Ulrike; Yeomans, Joanne; Zhou, Biru

doi:10.5281/zenodo.5905866

Cited by 1 publication

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, the social media management benefits from a consistent and regular contribution by the journal's social media editor. Moreover, the editorial team have led a number of thought-leadership activities, including organising events, giving interviews, talks, and poster presentations at a number of international venues, taking part in panels and publishing blog posts and academic publications [16]. Finally, a targeted editorial strategy has led to the launch of special collections which has allowed JOHD to reach communities in specialised sectors and research areas.…”

Section: Humanities and Social Sciences Data Journalsmentioning

confidence: 99%

“…The Zenodo REST API service enables programmatic upload and publication of data to the Zenodo repository, but the service's 'records' endpoint can be also used to access information about the deposited datasets and their performance statistics 15 . We created a list of stemmed expressions corresponding with the Units of Assessment in Panels C (Social Sciences) and D (Humanities) of the UK's Research Excellence Framework 2021 16 , and fed this list to a Zenodo query in parameter 'q' to restrict the disciplinary focus of the search to HSS projects. Please note that we added the 'humanit' expressions for 'humanities' and removed the expression 'international' (corresponding with UoA 19 'Politics and International Studies').…”

Section: Impact Metrics Of Hss Datasetsmentioning

confidence: 99%

See 1 more Smart Citation

Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences

et al. 2022

Self Cite

View full text Add to dashboard Cite

The humanities and social sciences (HSS) have recently witnessed an exponential growth in data-driven research. In response, attention has been afforded to datasets and accompanying data papers as outputs of the research and dissemination ecosystem. In 2015, two data journals dedicated to HSS disciplines appeared in this landscape: Journal of Open Humanities Data (JOHD) and Research Data Journal for the Humanities and Social Sciences (RDJ). In this paper, we analyse the state of the art in the landscape of data journals in HSS using JOHD and RDJ as exemplars by measuring performance and the deep impact of data-driven projects, including metrics (citation count; Altmetrics, views, downloads, tweets) of data papers in relation to associated research papers and the reuse of associated datasets. Our findings indicate: that data papers are published following the deposit of datasets in a repository and usually following research articles; that data papers have a positive impact on both the metrics of research papers associated with them and on data reuse; and that Twitter hashtags targeted at specific research campaigns can lead to increases in data papers’ views and downloads. HSS data papers improve the visibility of datasets they describe, support accompanying research articles, and add to transparency and the open research agenda.

show abstract

Section: Humanities and Social Sciences Data Journalsmentioning

confidence: 99%

Section: Impact Metrics Of Hss Datasetsmentioning

confidence: 99%