{"data":{"id":"10.6084/m9.figshare.3980463.v3","type":"dois","attributes":{"doi":"10.6084/m9.figshare.3980463.v3","prefix":"10.6084","suffix":"m9.figshare.3980463.v3","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Osborne, Francesco","nameType":"Personal","givenName":"Francesco","familyName":"Osborne","affiliation":[],"nameIdentifiers":[]},{"name":"Peroni, Silvio","nameType":"Personal","givenName":"Silvio","familyName":"Peroni","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-0530-4305","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"Outcomes of SAVE-SD 2015 and 2016 questionnaires on RASH and evaluation material and outcomes of the analysis of RDF annotations in the RASH papers."}],"publisher":"figshare","container":{},"publicationYear":2016,"subjects":[{"subject":"Computer Software"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Computer and information sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"80602 Computer-Human Interaction","subjectScheme":"FOR"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Psychology","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Data Format"},{"subject":"Library and Information Studies"},{"subject":"FOS: Media and communications","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Media and communications","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"80404 Markup Languages","subjectScheme":"FOR"},{"subject":"80306 Open Software","subjectScheme":"FOR"},{"subject":"80505 Web Technologies (excl. Web Search)","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2016-10-04","dateType":"Created"},{"date":"2016-10-04","dateType":"Updated"},{"date":"2016","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.3980463","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["26680 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset contains the data collected for the evaluation of RASH (Research Articles in Simplified HTML), which is presented in the paper 'Research Articles in Simplified HTML: a Web-first format for HTML-based scholarly articles'.\u003cbr\u003eIn particular, it includes:\u003cbr\u003e1) Four CSV files reporting the surveys filled in by authors and reviewers of RASH papers published in the SAVE-SD 2015 and SAVE-SD 2016 workshops:- survey_authors_2015- survey_authors_2016- survey_reviewers_2015- survey_reviewers_2016\u003cbr\u003e2) Four CSV files presenting the more frequent entities and vocabularies included in the RASH papers published in SAVE-SD 2015 and SAVE-SD 2016 workshops:- entities_analysis_2015.csv- entities_analysis_2016.csv- vocabularies_analysis_2015.csv- vocabularies_analysis_2016.csv \u003cbr\u003eFor any question about the data please contact francesco.osborne@open.ac.uk or silvio.peroni@unibo.it\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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