{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T09:43:41Z","timestamp":1746265421161,"version":"3.40.3"},"publisher-location":"Cham","reference-count":49,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030625214"},{"type":"electronic","value":"9783030625221"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-62522-1_29","type":"book-chapter","created":{"date-parts":[[2020,10,29]],"date-time":"2020-10-29T00:04:23Z","timestamp":1603929863000},"page":"388-402","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Empowering Virus Sequence Research Through Conceptual Modeling"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8016-5750","authenticated-orcid":false,"given":"Anna","family":"Bernasconi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4528-6586","authenticated-orcid":false,"given":"Arif","family":"Canakoglu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9786-2851","authenticated-orcid":false,"given":"Pietro","family":"Pinoli","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0671-2415","authenticated-orcid":false,"given":"Stefano","family":"Ceri","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,29]]},"reference":[{"issue":"D1","key":"29_CR1","first-page":"D70","volume":"48","author":"C Amid","year":"2020","unstructured":"Amid, C., et al.: The European nucleotide archive in 2019. Nucleic Acids Res. 48(D1), D70\u2013D76 (2020)","journal-title":"Nucleic Acids Res."},{"key":"29_CR2","unstructured":"Babenko, V., et al.: GUS the genomics unified schema a platform for genomics databases. http:\/\/www.gusdb.org\/. Accessed 1 Aug 2020"},{"issue":"2","key":"29_CR3","doi-asserted-by":"publisher","first-page":"25","DOI":"10.7171\/jbt.18-2902-002","volume":"29","author":"A Bairoch","year":"2018","unstructured":"Bairoch, A.: The cellosaurus, a cell-line knowledge resource. J. Biomol. Tech. JBT 29(2), 25 (2018)","journal-title":"J. Biomol. Tech. JBT"},{"key":"29_CR4","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/978-3-030-34146-6_8","volume-title":"Advances in Conceptual Modeling","author":"A Bernasconi","year":"2019","unstructured":"Bernasconi, A., et al.: Exploiting conceptual modeling for searching genomic metadata: a quantitative and qualitative empirical study. In: Guizzardi, G., et al. (eds.) Advances in Conceptual Modeling, pp. 83\u201394. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-34146-6_8"},{"key":"29_CR5","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1007\/978-3-030-33223-5_29","volume-title":"Conceptual Modeling","author":"A Bernasconi","year":"2019","unstructured":"Bernasconi, A., et al.: From a conceptual model to a knowledge graph for genomic datasets. In: Laender, A.H.F., et al. (eds.) Conceptual Modeling, pp. 352\u2013360. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-33223-5_29"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Bernasconi, A., et al.: META-BASE: a novel architecture for large-scale genomic metadata integration. IEEE\/ACM Trans. Comput. Biol. Bioinform. (2020)","DOI":"10.1109\/TCBB.2020.2998954"},{"key":"29_CR7","first-page":"80","volume":"4","author":"A Bernasconi","year":"2020","unstructured":"Bernasconi, A., et al.: The road towards data integration in human genomics: players, steps and interactions. Briefings Bioinform. 4, 80 (2020)","journal-title":"Briefings Bioinform."},{"key":"29_CR8","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/978-3-319-69904-2_26","volume-title":"Conceptual Modeling","author":"A Bernasconi","year":"2017","unstructured":"Bernasconi, A., et al.: Conceptual modeling for genomics: building an integrated repository of open data. In: Mayr, H.C., et al. (eds.) Conceptual Modeling, pp. 325\u2013339. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69904-2_26"},{"issue":"4","key":"29_CR9","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1145\/384189.384190","volume":"10","author":"A Bonifati","year":"2001","unstructured":"Bonifati, A., et al.: Designing data marts for data warehouses. ACM Transactions on Software Engineering and Methodology 10(4), 452\u2013483 (2001)","journal-title":"ACM Transactions on Software Engineering and Methodology"},{"key":"29_CR10","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1093\/database\/baz132","volume":"2019","author":"A Canakoglu","year":"2019","unstructured":"Canakoglu, A., et al.: GenoSurf: metadata driven semantic search system for integrated genomic datasets. Database 2019, 132 (2019)","journal-title":"Database"},{"key":"29_CR11","doi-asserted-by":"publisher","unstructured":"Canakoglu, A., et al.: ViruSurf: an integrated database to investigate viral sequences. Nucleic Acids Research, gkaa846 (2020). https:\/\/doi.org\/10.1093\/nar\/gkaa846","DOI":"10.1093\/nar\/gkaa846"},{"issue":"2","key":"29_CR12","doi-asserted-by":"publisher","first-page":"80","DOI":"10.4161\/fly.19695","volume":"6","author":"P Cingolani","year":"2012","unstructured":"Cingolani, P., et al.: A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly 6(2), 80\u201392 (2012)","journal-title":"Fly"},{"issue":"D1","key":"29_CR13","doi-asserted-by":"publisher","first-page":"D330","DOI":"10.1093\/nar\/gky1055","volume":"47","author":"Consortium, G.O.","year":"2019","unstructured":"Consortium, G.O.: The gene ontology resource: 20 years and still going strong. Nucleic Acids Res. 47(D1), D330\u2013D338 (2019)","journal-title":"Nucleic Acids Res."},{"issue":"3","key":"29_CR14","doi-asserted-by":"publisher","first-page":"200045","DOI":"10.2807\/1560-7917.ES.2020.25.3.2000045","volume":"25","author":"VM Corman","year":"2020","unstructured":"Corman, V.M., et al.: Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Eurosurveillance 25(3), 200045 (2020)","journal-title":"Eurosurveillance"},{"issue":"15","key":"29_CR15","doi-asserted-by":"publisher","first-page":"1291","DOI":"10.1002\/yea.1047","volume":"20","author":"M Cornell","year":"2003","unstructured":"Cornell, M., et al.: GIMS: an integrated data storage and analysis environment for genomic and functional data. Yeast 20(15), 1291\u20131306 (2003)","journal-title":"Yeast"},{"key":"29_CR16","doi-asserted-by":"publisher","unstructured":"De Francesco, E., et al.: A summary of genomic databases: overview and discussion. In: Biomedical Data and Applications, pp. 37\u201354. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-02193-0_3","DOI":"10.1007\/978-3-642-02193-0_3"},{"key":"29_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1007\/978-3-540-24741-8_47","volume-title":"Advances in Database Technology - EDBT 2004","author":"HH Do","year":"2004","unstructured":"Do, H.H., et al.: Flexible integration of molecular-biological annotation data: the genmapper approach. In: Bertino, E., Christodoulakis, S., Plexousakis, D., Christophides, V., Koubarakis, M., B\u00f6hm, K., Ferrari, E. (eds.) EDBT 2004. LNCS, vol. 2992, pp. 811\u2013822. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-24741-8_47"},{"issue":"D1","key":"29_CR18","doi-asserted-by":"publisher","first-page":"D136","DOI":"10.1093\/nar\/gkr1178","volume":"40","author":"S Federhen","year":"2012","unstructured":"Federhen, S.: The NCBI taxonomy database. Nucleic Acids Res. 40(D1), D136\u2013D143 (2012)","journal-title":"Nucleic Acids Res."},{"key":"29_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1007\/978-3-642-41924-9_40","volume-title":"Conceptual Modeling","author":"AMM Ferrandis","year":"2013","unstructured":"Ferrandis, A.M.M., et al.: Applying the principles of an ontology-based approach to a conceptual schema of human genome. In: Ng, W., Storey, V.C., Trujillo, J.C. (eds.) ER 2013. LNCS, vol. 8217, pp. 471\u2013478. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-41924-9_40"},{"key":"29_CR20","unstructured":"Flicek, P., et al.: The European Genotype Archive: Background and implementation [white paper] (2007). https:\/\/www.ebi.ac.uk\/ega\/sites\/ebi.ac.uk.ega\/files\/documents\/ega_whitepaper.pdf"},{"key":"29_CR21","doi-asserted-by":"publisher","first-page":"2302","DOI":"10.1056\/NEJMoa2006100","volume":"382","author":"DF Gudbjartsson","year":"2020","unstructured":"Gudbjartsson, D.F., et al.: Spread of SARS-CoV-2 in the Icelandic population. New Engl. J. Med. 382, 2302\u20132315 (2020)","journal-title":"New Engl. J. Med."},{"key":"29_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1007\/11530084_14","volume-title":"Data Integration in the Life Sciences","author":"E Gu\u00e9rin","year":"2005","unstructured":"Gu\u00e9rin, E., et al.: Integrating and warehousing liver gene expression data and related biomedical resources in GEDAW. In: Lud\u00e4scher, B., Raschid, L. (eds.) DILS 2005. LNCS, vol. 3615, pp. 158\u2013174. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11530084_14"},{"issue":"23","key":"29_CR23","doi-asserted-by":"publisher","first-page":"4121","DOI":"10.1093\/bioinformatics\/bty407","volume":"34","author":"J Hadfield","year":"2018","unstructured":"Hadfield, J., et al.: Nextstrain: real-time tracking of pathogen evolution. Bioinformatics 34(23), 4121\u20134123 (2018)","journal-title":"Bioinformatics"},{"issue":"D1","key":"29_CR24","doi-asserted-by":"publisher","first-page":"D482","DOI":"10.1093\/nar\/gkw1065","volume":"45","author":"EL Hatcher","year":"2017","unstructured":"Hatcher, E.L., et al.: Virus variation resource-improved response to emergent viral outbreaks. Nucleic Acids Res. 45(D1), D482\u2013D490 (2017)","journal-title":"Nucleic Acids Res."},{"key":"29_CR25","doi-asserted-by":"publisher","first-page":"D576","DOI":"10.1093\/nar\/gkq901","volume":"39","author":"C Hulo","year":"2011","unstructured":"Hulo, C., et al.: ViralZone: a knowledge resource to understand virus diversity. Nucleic Acids Res. 39, D576\u2013D582 (2011)","journal-title":"Nucleic Acids Res."},{"key":"29_CR26","doi-asserted-by":"crossref","unstructured":"Junior, I.J.M., et al.: The global population of SARS-CoV-2 is composed of six major subtypes. bioRxiv (2020)","DOI":"10.1101\/2020.04.14.040782"},{"key":"29_CR27","doi-asserted-by":"crossref","unstructured":"Koonin, E.V., et\u00a0al.: Global organization and proposed megataxonomy of the virus world. Microbiol. Mol. Biol. Rev. 84(2), 156 (2020)","DOI":"10.1128\/MMBR.00061-19"},{"key":"29_CR28","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1016\/S1473-3099(20)30200-0","volume":"20","author":"FX Lescure","year":"2020","unstructured":"Lescure, F.X., et al.: Clinical and virological data of the first cases of COVID-19 in Europe: a case series. The Lancet Infect. Dis. 20, 6 (2020)","journal-title":"The Lancet Infect. Dis."},{"key":"29_CR29","doi-asserted-by":"crossref","unstructured":"Lu, G., et al.: Influenza A virus informatics: genotype-centered database and genotype annotation. In: Second International Multi-Symposiums on Computer and Computational Sciences (IMSCCS 2007), pp. 76\u201383. IEEE (2007)","DOI":"10.1109\/IMSCCS.2007.63"},{"issue":"10224","key":"29_CR30","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1016\/S0140-6736(20)30251-8","volume":"395","author":"R Lu","year":"2020","unstructured":"Lu, R., et al.: Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. The Lancet 395(10224), 565\u2013574 (2020)","journal-title":"The Lancet"},{"issue":"1","key":"29_CR31","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1093\/bioinformatics\/15.1.2","volume":"15","author":"C M\u00e9digue","year":"1999","unstructured":"M\u00e9digue, C., et al.: Imagene: an integrated computer environment for sequence annotation and analysis. Bioinformatics (Oxford, England) 15(1), 2\u201315 (1999)","journal-title":"Bioinformatics (Oxford, England)"},{"issue":"3","key":"29_CR32","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1016\/0022-2836(70)90057-4","volume":"48","author":"SB Needleman","year":"1970","unstructured":"Needleman, S.B., et al.: A general method applicable to the search for similarities in the amino acid sequence of two proteins. J. Mol. Biol. 48(3), 443\u2013453 (1970)","journal-title":"J. Mol. Biol."},{"issue":"6","key":"29_CR33","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1093\/bioinformatics\/14.6.472","volume":"14","author":"T Okayama","year":"1998","unstructured":"Okayama, T., et al.: Formal design and implementation of an improved DDBJ DNA database with a new schema and object-oriented library. Bioinformatics (Oxford, England) 14(6), 472\u2013478 (1998)","journal-title":"Bioinformatics (Oxford, England)"},{"issue":"D1","key":"29_CR34","doi-asserted-by":"publisher","first-page":"D733","DOI":"10.1093\/nar\/gkv1189","volume":"44","author":"NA O\u2019Leary","year":"2015","unstructured":"O\u2019Leary, N.A., et al.: Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. Nucleic Acids Res. 44(D1), D733\u2013D745 (2015)","journal-title":"Nucleic Acids Res."},{"key":"29_CR35","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1007\/978-3-030-00847-5_44","volume-title":"Conceptual Modeling","author":"AL Palacio","year":"2018","unstructured":"Palacio, A.L., et al.: A method to identify relevant genome data: conceptual modeling for the medicine of precision. In: Trujillo, J.C., et al. (eds.) ER 2018. LNCS, vol. 11157, pp. 597\u2013609. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00847-5_44"},{"issue":"6","key":"29_CR36","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1093\/bioinformatics\/16.6.548","volume":"16","author":"NW Paton","year":"2000","unstructured":"Paton, N.W., et al.: Conceptual modelling of genomic information. Bioinformatics 16(6), 548\u2013557 (2000)","journal-title":"Bioinformatics"},{"issue":"D1","key":"29_CR37","doi-asserted-by":"publisher","first-page":"D593","DOI":"10.1093\/nar\/gkr859","volume":"40","author":"BE Pickett","year":"2012","unstructured":"Pickett, B.E., et al.: ViPR: an open bioinformatics database and analysis resource for virology research. Nucleic Acids Res. 40(D1), D593\u2013D598 (2012)","journal-title":"Nucleic Acids Res."},{"key":"29_CR38","doi-asserted-by":"crossref","unstructured":"Nomenclature Committee of the International Union of Biochemistry (NC-IUB): Nomenclature for incompletely specified bases in nucleic acid sequences: Recommendations 1984. Proceedings of the National Academy of Sciences of the United States of America 83(1), 4\u20138 (1986)","DOI":"10.1073\/pnas.83.1.4"},{"issue":"D1","key":"29_CR39","doi-asserted-by":"publisher","first-page":"D506","DOI":"10.1093\/nar\/gky1049","volume":"47","author":"UniProt Consortium","year":"2019","unstructured":"UniProt Consortium: UniProt: a worldwide hub of protein knowledge. Nucleic Acids Res. 47(D1), D506\u2013D515 (2019)","journal-title":"Nucleic Acids Res."},{"key":"29_CR40","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1007\/978-3-319-46397-1_31","volume-title":"Conceptual Modeling","author":"JF Reyes Rom\u00e1n","year":"2016","unstructured":"Reyes Rom\u00e1n, J.F., Pastor, \u00d3., Casamayor, J.C., Valverde, F.: Applying conceptual modeling to better understand the human genome. In: Comyn-Wattiau, I., Tanaka, K., Song, I.-Y., Yamamoto, S., Saeki, M. (eds.) ER 2016. LNCS, vol. 9974, pp. 404\u2013412. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46397-1_31"},{"key":"29_CR41","unstructured":"Sayers, E.: The E-utilities in-depth: parameters, syntax and more. Entrez Programming Utilities Help [Internet] (2009). https:\/\/www.ncbi.nlm.nih.gov\/books\/NBK25499\/"},{"issue":"D1","key":"29_CR42","doi-asserted-by":"publisher","first-page":"D94","DOI":"10.1093\/nar\/gky989","volume":"47","author":"EW Sayers","year":"2019","unstructured":"Sayers, E.W., et al.: GenBank. Nucleic Acids Res. 47(D1), D94\u2013D99 (2019)","journal-title":"Nucleic Acids Res."},{"issue":"3","key":"29_CR43","doi-asserted-by":"publisher","first-page":"1489","DOI":"10.1128\/JVI.02027-14","volume":"89","author":"D Sharma","year":"2015","unstructured":"Sharma, D., et al.: Unraveling the web of viroinformatics: computational tools and databases in virus research. J. Virol. 89(3), 1489\u20131501 (2015)","journal-title":"J. Virol."},{"issue":"13","key":"29_CR44","doi-asserted-by":"publisher","first-page":"30494","DOI":"10.2807\/1560-7917.ES.2017.22.13.30494","volume":"22","author":"Y Shu","year":"2017","unstructured":"Shu, Y., et al.: GISAID: Global initiative on sharing all influenza data-from vision to reality. Eurosurveill. 22(13), 30494 (2017)","journal-title":"Eurosurveill."},{"key":"29_CR45","doi-asserted-by":"crossref","unstructured":"Singer, J., et al.: CoV-Glue: a web application for tracking SARS-CoV-2 genomic variation (2020). Preprints 2020, 2020060225","DOI":"10.20944\/preprints202006.0225.v1"},{"issue":"11","key":"29_CR46","doi-asserted-by":"publisher","first-page":"1251","DOI":"10.1038\/nbt1346","volume":"25","author":"B Smith","year":"2007","unstructured":"Smith, B., et al.: The obo foundry: coordinated evolution of ontologies to support biomedical data integration. Nat. Biotechnol. 25(11), 1251\u20131255 (2007)","journal-title":"Nat. Biotechnol."},{"key":"29_CR47","doi-asserted-by":"publisher","first-page":"e00152","DOI":"10.1093\/database\/baw162","volume":"2016","author":"M Stano","year":"2016","unstructured":"Stano, M., et al.: viruSITE-integrated database for viral genomics. Database 2016, e00152 (2016)","journal-title":"Database"},{"key":"29_CR48","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1093\/database\/bax093","volume":"2017","author":"T Tahsin","year":"2017","unstructured":"Tahsin, T., et al.: Named entity linking of geospatial and host metadata in genbank for advancing biomedical research. Database 2017, 93 (2017)","journal-title":"Database"},{"key":"29_CR49","doi-asserted-by":"crossref","unstructured":"Tang, X., et al.: On the origin and continuing evolution of SARS-CoV-2. Nat. Sci. Rev. (2020)","DOI":"10.1093\/nsr\/nwaa036"}],"container-title":["Lecture Notes in Computer Science","Conceptual Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-62522-1_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T21:09:09Z","timestamp":1696972149000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-62522-1_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030625214","9783030625221"],"references-count":49,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-62522-1_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ER","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Conceptual Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vienna","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Austria","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"er2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/er2020.big.tuwien.ac.at\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"143","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"28","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}