@Article{          khulusi.ea2020-survey,
    author       = {Khulusi, R. and Kusnick, J. and Meinecke, C. and
                   Gillmann, C. and Focht, J. and J{\"{a}}nicke, S.},
    year         = {2020},
    title        = {A Survey on Visualizations for Musical Data},
    abstract     = {Digital methods are increasingly applied to store,
                   structure and analyse vast amounts of musical data. In
                   this context, visualization plays a crucial role, as it
                   assists musicologists and non-expert users in data
                   analysis and in gaining new knowledge. This survey focuses
                   on this unique link between musicology and visualization.
                   We classify 129 related works according to the visualized
                   data types, and we analyse which visualization techniques
                   were applied for certain research inquiries and to fulfill
                   specific tasks. Next to scientific references, we take
                   commercial music software and public websites into
                   account, that contribute novel concepts of visualizing
                   musicological data. We encounter different aspects of
                   uncertainty as major problems when dealing with
                   musicological data and show how occurring inconsistencies
                   are processed and visually communicated. Drawing from our
                   overview in the field, we identify open challenges for
                   research on the interface of musicology and visualization
                   to be tackled in the future.},
    doi          = {10.1111/cgf.13905},
    issn         = {14678659},
    journal      = {Computer Graphics Forum},
    keywords     = {computational musicology,information
                   visualization,visualization},
    mendeley-tags= {computational musicology},
    number       = {00},
    pages        = {1--28},
    volume       = {00}
}

{"_id":"B2diJZ8JhoE8byM9T","bibbaseid":"khulusi-kusnick-meinecke-gillmann-focht-jnicke-asurveyonvisualizationsformusicaldata-2020","authorIDs":[],"author_short":["Khulusi, R.","Kusnick, J.","Meinecke, C.","Gillmann, C.","Focht, J.","Jänicke, S."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Khulusi"],"firstnames":["R."],"suffixes":[]},{"propositions":[],"lastnames":["Kusnick"],"firstnames":["J."],"suffixes":[]},{"propositions":[],"lastnames":["Meinecke"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Gillmann"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Focht"],"firstnames":["J."],"suffixes":[]},{"propositions":[],"lastnames":["Jänicke"],"firstnames":["S."],"suffixes":[]}],"year":"2020","title":"A Survey on Visualizations for Musical Data","abstract":"Digital methods are increasingly applied to store, structure and analyse vast amounts of musical data. In this context, visualization plays a crucial role, as it assists musicologists and non-expert users in data analysis and in gaining new knowledge. This survey focuses on this unique link between musicology and visualization. We classify 129 related works according to the visualized data types, and we analyse which visualization techniques were applied for certain research inquiries and to fulfill specific tasks. Next to scientific references, we take commercial music software and public websites into account, that contribute novel concepts of visualizing musicological data. We encounter different aspects of uncertainty as major problems when dealing with musicological data and show how occurring inconsistencies are processed and visually communicated. Drawing from our overview in the field, we identify open challenges for research on the interface of musicology and visualization to be tackled in the future.","doi":"10.1111/cgf.13905","issn":"14678659","journal":"Computer Graphics Forum","keywords":"computational musicology,information visualization,visualization","mendeley-tags":"computational musicology","number":"00","pages":"1–28","volume":"00","bibtex":"@Article{ khulusi.ea2020-survey,\n author = {Khulusi, R. and Kusnick, J. and Meinecke, C. and\n Gillmann, C. and Focht, J. and J{\\\"{a}}nicke, S.},\n year = {2020},\n title = {A Survey on Visualizations for Musical Data},\n abstract = {Digital methods are increasingly applied to store,\n structure and analyse vast amounts of musical data. In\n this context, visualization plays a crucial role, as it\n assists musicologists and non-expert users in data\n analysis and in gaining new knowledge. This survey focuses\n on this unique link between musicology and visualization.\n We classify 129 related works according to the visualized\n data types, and we analyse which visualization techniques\n were applied for certain research inquiries and to fulfill\n specific tasks. Next to scientific references, we take\n commercial music software and public websites into\n account, that contribute novel concepts of visualizing\n musicological data. We encounter different aspects of\n uncertainty as major problems when dealing with\n musicological data and show how occurring inconsistencies\n are processed and visually communicated. Drawing from our\n overview in the field, we identify open challenges for\n research on the interface of musicology and visualization\n to be tackled in the future.},\n doi = {10.1111/cgf.13905},\n issn = {14678659},\n journal = {Computer Graphics Forum},\n keywords = {computational musicology,information\n visualization,visualization},\n mendeley-tags= {computational musicology},\n number = {00},\n pages = {1--28},\n volume = {00}\n}\n\n","author_short":["Khulusi, R.","Kusnick, J.","Meinecke, C.","Gillmann, C.","Focht, J.","Jänicke, S."],"key":"khulusi.ea2020-survey","id":"khulusi.ea2020-survey","bibbaseid":"khulusi-kusnick-meinecke-gillmann-focht-jnicke-asurveyonvisualizationsformusicaldata-2020","role":"author","urls":{},"keyword":["computational musicology","information visualization","visualization"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"https://hmb.sampaio.me/bibliografia.bib.txt","creationDate":"2020-04-10T05:13:13.650Z","downloads":0,"keywords":["computational musicology","information visualization","visualization"],"search_terms":["survey","visualizations","musical","data","khulusi","kusnick","meinecke","gillmann","focht","jänicke"],"title":"A Survey on Visualizations for Musical Data","year":2020,"dataSources":["n6MFY2CscQLDpJ7nT","RFLDZw5KyJdadDXDm"]}