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2 results for “publishing industry”
Secondary Data from Insights from Publishing Open Data in Industry-Academia Collaboration
<h1>Secondary Data from Insights from Publishing Open Data in Industry-Academia Collaboration</h1> <h2>Authors</h2> <p>Per Erik Strandberg [1], Philipp Peterseil [2], Julian Karoliny [3], Johanna Kallio [4], and Johannes Peltola [4].</p> <p>[1] Westermo Network Technologies AB (Sweden).<br>[2] Johannes Kepler University Linz (Austria)<br>[3] Silicon Austria Labs GmbH (Austria).<br>[4] VTT Technical Research Centre of Finland Ltd. (Finland).</p> <h2>Description</h2> <p>This data is to accompany a paper submitted to Elsevier's data in brief in 2024, with the title <em>Insights from Publishing Open Data in Industry-Academia Collaboration</em>.</p> <p><em>Tentative Abstract:</em> Effective data management and sharing are critical success factors in industry-academia collaboration. This paper explores the motivations and lessons learned from publishing open data sets in such collaborations. Through a survey of participants in a European research project that published 13 data sets, and an analysis of metadata from almost 281 thousand datasets in Zenodo, we collected qualitative and quantitative results on motivations, achievements, research questions, licences and file types. Through inductive reasoning and statistical analysis we found that planning the data collection is essential, and that only few datasets (2.4%) had accompanying scripts for improved reuse. We also found that authors are not well aware of the importance of licences or which licence to choose. Finally, we found that data with a synthetic origin, collected with simulations and potentially mixed with real measurements, can be very meaningful, as predicted by Gartner and illustrated by many datasets collected in our research project.</p> <h2>Secondary data from Survey</h2> <p>The file <code>survey.txt</code> contains secondary data from a survey of participants that published open data sets in the 3-year European research project InSecTT.</p> <h2>Secondary data from Zenodo</h2> <p>The file <code>secondary_data_zenodo.json</code> contains secondary data from an analysis of data sets published in Zenodo. It is accompanied with a <code>py</code>-file and a <code>ipynb</code>-file to serve as examples.</p> <h2>License</h2> <p>This data is licenced with the Creative Commons Attribution 4.0 International license. You are free to use the data if you attribute the authors. Read the license text for details.</p>
Survey - Business Model Innovations in the Digital Publishing Industry: A Question of reluctance to innovate?
<p>News Publishers today struggle with their business model: their efforts to convert their traditional business into digital products have generally proven to be futile. In order to explore a possible reluctance to innovate in the digital news publishing industry, in our study we are focusing on the Digital News Initiative (DNI) which is a partnership between Google and news publishers across Europe to support high-quality journalism through technology and foster innovation. Founded in 2015, the DNI has already funded over 460 projects across Europe with €94m. In our study we will deep dive into these projects by categorizing the type of innovation in a simple document analysis. Afterwards we will conduct a explorative survey with publishers. This will help us finding out whether they also dealt with a reluctance to innovate within their organization, what the main obstacles have been during their innovation process and how they have overcome them. The explorative results are not only valid for publishers but can also be transferred to other industries whose products and services are affected by digitalization.</p> <p>Anonymus survey with 31 full answers from publishers in the DACH Region conducted with LimeSurvey in March 2018.</p>
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