7 Misc

7.1 Data management Task

Within this task, the Data Management Plan (DMP) included in Section 6 will be further elaborated according to the GDPR. It will address questions of privacy and data sharing, data collection and data processing, as well as questions of IPR, ensuring the monitoring and update of all IP related questions throughout the project.

For decades,

In our experience, the []

It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data (Dasu and Johnson 2003). Data preparation is not just a first step, but must be repeated many over the course of analysis as new problems come to light or new data is collected.

Additionally, data gathered in WPs 1-4 will be processed following the “tidy data principle”27 that increases reusability to the maximum, and makes importing our data the easiest either as individual spreadsheets, or via or API using programmatic access with the JSON format.

as well as their metadata, will be compiled and deposited in OpenAIREʼs Zenodo repository to ensure discoverability, accessibility, and intelligibility, based on their usefulness for the scientific community. This task further addresses questions of intellectual property within the consortium.”

Angelova-Tosheva, Valeriya, and Oliver Müller, eds. 2019. Methodological Manual on Territorial Typologies — 2018 Edition. 2018th ed. Luxembourg: Publications Office of the European Union. https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-GQ-18-008.
Antal, Daniel. 2015a. “A Proart zeneipari jelentése. [The Music Industry Report of Proart].” ProArt Szövetség a Szerzői Jogokért Egyesület. http://zeneipar.info/letoltes/proart-zeneipari-jelentes-2015.pdf.
———. 2015b. “Creating Better National Cultural Statistics with Eurobarometer Datasets and ESSNet-Culture Technical Recommendations.” Köln:Germany. http://www.gesis.org/fileadmin/upload/events/EB-Symposium/Poster/Antal_Poster.pdf.
———. 2017. “The Growth of the Hungarian Popular Music Repertoire: Who Creates It And How Does It Find An Audience.” In Made in Hungary, 1st ed. Studies in Popular Music. New York, NY: USA: Routledge.
———. 2019a. “Private Copying in Croatia.” https://www.zamp.hr/uploads/documents/Studija_privatno_kopiranje_u_Hrvatskoj_DA_CEEMID.pdf.
———. 2019b. Slovak Music Industry Report [Správa o slovenskom hudobnom priemysle].” https://doi.org/10.17605/OSF.IO/V3BE9.
———. 2019c. “The Competition of Unlicensed, Licensed and Illegal Uses on the Markets of Music and Audiovisual Works [A szabad felhasználások, a jogosított tartalmak és az illegális felhasználások versenye a zenék és audiovizuális alkotások hazai piacán].” Artisjus - not public.
Antal, Daniel, and James Edwards. 2022. Report on Music, Society, and Citizenship in Europe [Outline]. https://doi.org/10.5281/zenodo.6464900.
Antal, Daniel, James Edwards, and Andrés G. J. Garcia. 2022. Music, Society, and Citizenship: Novel data collection methods and indicators.” Zenodo. https://doi.org/10.5281/zenodo.6464933.
Antal, Daniel, Leo Lahti, Pyry Kantanen, and Andrés GJ Garcia. 2022. Report on Music Innovation & Technology in Europe [Outline]. https://doi.org/10.5281/zenodo.6465096.
Antal, Daniel, Joost Poort, and Guilio Botazzi. 2022. Report on the European Music Economy [Outline]. https://doi.org/10.5281/zenodo.6464782.
Antal, Daniel, Caterina Sganga, and Andrés GJ Molina. 2022. “Report on Music Diversity and Circulation in Europe [Outline].” https://doi.org/10.5281/zenodo.6465114.
Artisjus, HDS, SOZA, and Candole Partners. 2014. “Measuring and Reporting Regional Economic Value Added, National Income and Employment by the Music Industry in a Creative Industries Perspective. Memorandum of Understanding to Create a Regional Music Database to Support Professional National Reporting, Economic Valuation and a Regional Music Study.”
Berkeley Initiative for Transparency in the Social Sciences, Aleksandar Bogdanoski, Carson Christiano, Joel Ferguson, Fernando Hoces de la Guardia, Katherine Hoeberling, Edward Miguel, Emma Ng, and Lars Vilhuber. 2020. “Guide for Accelerating Computational Reproducibility in the Social Sciences.” Berkeley Initiative for Transparency in the Social Sciences. https://bitss.github.io/ACRE/intro.html.
BITSS. 2019. “Guidelines for Open Policy Analysis.” Berkeley Initiative for Transparency in the Social Sciences. http://www.bitss.org/wp-content/uploads/2019/03/OPA-Guidelines.pdf.
Bodó, Dániel AND Puha, Balázs AND Antal. 2020. “Can Scholarly Pirate Libraries Bridge the Knowledge Access Gap? An Empirical Study on the Structural Conditions of Book Piracy in Global and European Academia.” PLOS ONE 15 (12): 1–25. https://doi.org/10.1371/journal.pone.0242509.
Bottazzi, Giulio, Francesco Cordoni, Giulia Livieri, and Stefano Marmi. 2020. Uncertainty in Firm Valuation and a Cross-Sectional Misvaluation Measure.” LEM Papers Series 2020/15. Laboratory of Economics; Management (LEM), Sant’Anna School of Advanced Studies, Pisa, Italy. https://ideas.repec.org/p/ssa/lemwps/2020-15.html.
Commission, European, Directorate-General for the Internal Market, Services, M Ende, S Rohlfs, A Yagafarova, P de Bas, J Poort, R Haffner, and H Til. 2017. Estimating Displacement Rates of Copyrighted Content in the EU : Final Report. Publications Office. https://doi.org/doi/10.2780/26736.
Commission, European, Directorate-General for Research, Innovation, L Baker, I Cristea, T Errington, K Jaśko, et al. 2020. Reproducibility of Scientific Results in the EU : Scoping Report. Edited by W Lusoli. Luxembourg: Publications Office of the European Union. https://doi.org/doi/10.2777/341654.
Competition & Markets Authority. 2022. “Music and Streaming Market Study. Statement of Scope.” Competition & Markets Authority. https://assets.publishing.service.gov.uk/media/61f17285d3bf7f0546a99df2/Music_and_streaming_Statement_of_Scope_final.pdf.
Europe Economics & IVIR. 2015. “Remuneration of Authors and Performers for the Use of Their Works and the Fixations of Their Performances.” European Commission, Directorate-General of Communications Networks, Content & Technology. https://www.ivir.nl/publicaties/download/1593.pdf.
European Commission. 2021a. “Brochure for Music Moves Europe Preparatory Action 2019.” European Commission. https://ec.europa.eu/culture/sites/default/files/library/mme_2019_brochure_final-web.pdf.
———. 2021b. “Music Moves Europe - First Dialogue Meeting. Final Report.” European Commission. https://ec.europa.eu/culture/sites/default/files/library/mme-conference-report-web.pdf.
European Commission. Statistical Office of the European Union. 2018. An Overview of Methods for Treating Selectivity in Big Data Sources: 2018 Edition. Statistical Working Papers. Luxembourg: Publications Office of the European Union. https://data.europa.eu/doi/10.2785/312232.
European Commission, Directorate-General for Education, Youth, Sport and Culture, M Clarke, P Vroonhof, J Snijders, A Le Gall, B Jacquemet, et al. 2020. Feasibility Study for the Establishment of a European Music Observatory : Final Report. Publications Office of the European Union. https://doi.org/doi/10.2766/9691.
European Commission, and Directorate-General for Research and Innovation. 2020. Progress on Open Science Towards a Shared Research Knowledge System. Final Report of the Open Science Policy Platform. Luxembourg: Publications Office of the European Union. https://doi.org/10.2777/00139.
Eurostat. 2014. Towards a Harmonised Methodology for Statistical Indicators — Part 1: Indicator Typologies and Terminologies. 2014th ed. Vol. 1. Towards a Harmonised Methodology for Statistical Indicators 1. Luxembourg: Publications Office of the European Union. https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-GQ-14-011.
———. 2018. Guide to Eurostat Culture Statistics — 2018 Edition. 2018th ed. Luxembourg: Publications Office of the European Union. https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-GQ-18-011.
Flignor, Paul, and David Orozco. 2006. “Intangible Asset & Intellectual Property Valuation: A Multidisciplinary Perspective.” https://www.wipo.int/export/sites/www/sme/en/documents/pdf/ip_valuation.pdf.
Hoces de la Guardia, Fernando, Sean Grant, and Edward Miguel. 2020a. A framework for open policy analysis.” Science and Public Policy 48 (2): 154–63. https://doi.org/10.1093/scipol/scaa067.
———. 2020b. A framework for open policy analysis.” Science and Public Policy 48 (2): 154–63. https://doi.org/10.1093/scipol/scaa067.
Hull, Geoffrey P., Thomas W. Hutchison, Richard Strasser, and Geoffrey P. Hull. 2011. The Music Business and Recording Industry Delivering Music in the 21st Century. New York: Routledge. http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=345262.
IFRS. 2011. IFRS 13 Fair Value Measurement.” International Financial Reporting Standards Foundation. https://www.ifrs.org/issued-standards/list-of-standards/ifrs-13-fair-value-measurement/.
InfoCuria. 2013. T-442/08 CISAC v Commission.” http://curia.europa.eu/juris/liste.jsf?num=T-442/08&language=EN.
———. 2014. OSAOchranný svaz autorský pro práva k dílům hudebním o.s. v Léčebné lázně Mariánské Lázně a.s. Case C‑351/12.” http://curia.europa.eu/juris/document/document.jsf?text=&docid=150055&pageIndex=0&doclang=en&mode=lst&dir=&occ=first&part=1&cid=1996526.
———. 2017. Autortiesību un komunicēšanās konsultāciju aģentūra /Latvijas Autoru apvienība v Konkurences padome.” http://curia.europa.eu/juris/liste.jsf?language=en&num=C-177/16.
J, Wilson. 2015. Evidence-Based Policy Making in the European Commission. Edited by Elisabeth Lannoo. CIC Report 7440. Oslo (Norway): CICERO Centre for International Climate; Environmental Research. http://www.cicero.uio.no/en/posts/news/report-from-science-to-policy-how-to-improve-the-dialogue/.
Leurdijk, Adnra, and Nieuwenhuis Ottilie. 2012. “Statistical, Ecosystems and Competitiveness Analysis of the Media and Content Industries. The Music Industry.” 25277 EN. Edited by Jean Paul Simon. Luxembourg: Publications Office of the European Union, 2012: Joint Research Centre Institute for Prospective Technological Studies (IPTS). http://ftp.jrc.es/EURdoc/JRC69816.pdf.
Munafò, Marcus R., Brian A. Nosek, Dorothy V. M. Bishop, Katherine S. Button, Christopher D. Chambers, Nathalie Percie du Sert, Uri Simonsohn, Eric-Jan Wagenmakers, Jennifer J. Ware, and John P. A. Ioannidis. 2017. “A Manifesto for Reproducible Science.” Nature Human Behaviour 1 (1): 0021. https://doi.org/10.1038/s41562-016-0021.
Osimo, David, Pujol Priego Laya, Turo Pekari, and Ano Sirppiniemi. 2019. “A Symphony, Not a Solo. How Collective Management Organisations Can Embrace Innovation and Drive Data Sharing in the Music Industry.” Teosto. https://www.teosto.fi/app/uploads/2020/10/27134714/a-symphony-not-a-solo-policy-brief-final-09012019.pdf.
Poort, Joost, João Pedro Quintais, Martin van der Ende, Anastasia Yagafarova, and Mathijs Hageraats. 2018. “Global Online Piracy Study.” IViR - Institute for Information Law. https://www.ivir.nl/publicaties/download/Global-Online-Piracy-Study.pdf.
Poort, Joost, and Jarst Weda. 2015. “Elvis Is Returning to the Building: Understanding a Decline in Unauthorized File Sharing.” Journal of Media Economics 28 (2): 63–83. https://doi.org/10.1080/08997764.2015.1031904.
Poort, J, and P Rutten. 2012. “File Sharing and Its Impact on Business Models in Music.” In Internet Econometrics, edited by S Allegrezza and A Dubrocard. Palgrave Macmillan.
Puca, Antonella, and Mark L. Zyla. 2019. “The Intangible Valuation Renaissance: Five Methods. Enterprising Investor.” January 11, 2019. https://blogs.cfainstitute.org/investor/2019/01/11/a-renaissance-in-intangible-valuation-five-methods/.
PwC. 2008. “Valuing the Use of Recorded Music.” IFPI PricewaterhouseCoopers. http://www.ifpi.org/content/library/valuing_the_use_of_recorded_music.pdf.
Wickham, Hadley. 2014. “Tidy Data.” Journal of Statistical Software 59 (10): 1–23. https://doi.org/10.18637/jss.v059.i10.
WIPO. 1996a. WIPO Copyright Treaty.” World Intellectual Property Organization. https://www.wipo.int/treaties/en/ip/wct/.
———. 1996b. WIPO Performances and Phonograms Treaty.” World Intellectual Property Organization. https://www.wipo.int/treaties/en/ip/wppt/.

References

Wickham, Hadley. 2014. “Tidy Data.” Journal of Statistical Software 59 (10): 1–23. https://doi.org/10.18637/jss.v059.i10.