Skip to main content

Data Science – Analytics and Applications

Citations of this article
Mendeley users who have this article in their library.
Get full text


Proceedings of the 1st International Data Science Conference – iDSC2017 It is with deep satisfaction that we write this foreword for the Proceedings of the 1st International Data Science Conference (iDSC) held in Salzburg, Austria, June 12th - 13th 2017. The conference program and the resulting proceedings represent the efforts of many people. We want to express our gratitude towards the members of our program committee as well as towards our external reviewers for their hard work during the reviewing process. iDSC proofed itself as an innovative conference, which gave its participants the opportunity to delve into state-of-the-art research and best practice in the fields of Data Science and data-driven business concepts. Our research track offered a series of presentations by Data Science researchers regarding their current work in the fields of Data Mining, Machine Learning, Data Management, and the entire spectrum of Data Science. In our industry track, practitioners demonstrated showcases of data-driven business concepts and how they use Data Science to achieve organisational goals, with a focus on manufacturing, retail, and financial services. Within each of these areas, experts described their experience, demonstrated their practical solutions, and provided an outlook into the future of Data Science in the business domain. Besides these two parallel tracks, a European symposium on Text and Data Mining has been integrated into the conference. This symposium highlighted the EU project FutureTDM, granting insights into the future of Text and Data Mining, and introducing overarching policy recommendations and sector- specific guidelines to help stakeholders overcome the legal and technical barriers, as well the lack of skills that have been identified. Our sponsors had their own, special platform via workshops to provide hands-on interaction with tools or to learn approaches towards concrete solutions. In addition, an exhibition of products and services offered by our sponsors took place throughout the conference, with the opportunity for our participants to seek contact and advice. Completing the picture of our program, we proudly presented keynote presentations from leaders in Data Science and data-driven business, both researchers and practitioners. These keynotes provided all participants the opportunity to come together and shared views on challenges and trends in Data Science. In addition to the contributed papers, five invited keynote presentations were given by: Euro Beinat (CS Research, Salzburg University), Mario Meir-Huber (Microsoft Austria), Mike Olson (Cloudera), Ralf Klinkenberg (RapidMiner) and Janek Strycharz (Digital Center Poland). We thank the invited speakers for sharing their insights with our community. The conference chair John Thompson has also helped us in many ways setting up the industry track, for which we are grateful. We would especially like to thank our two colleagues, Astrid Karnutsch and Maximilian Tschuchnig, for their enormous and constructive commitment to organizing and conducting the conference. The paper submission and reviewing process was managed using the EasyChair system. These proceedings will provide scientists and practitioners with an excellent reference to current activities in the Data Science domain. We trust also that this will be an impetus to stimulate further studies, research activities and applications in all discussed areas ensured by the support of our publisher Springer / Vieweg Wiesbaden Germany. Finally, again, the conference would not be possible without the excellent papers contributed by our authors. We thank them for their contributions and their participation at iDSC·17. FutureTDM is a european project focusing on reducing barriers and increasing uptake of Text and Data Mining (TDM) for research environments in Europe. The outcomes of the project were presented in the Symposium which has also served to connect key actors and interest groups and promote open dialogue via discussion panels and informal workshops. The FTDM Symposium was scheduled alongside iDSC 2017, given that both events address similar target groups and share a common perspective: they both aimed at creating a communication network among the members of the TDM community, where experts can exchange ideas and share the most up-to-date research results, as well as legal and industrial advances relevant to TDM. The audience targeted by the iDSC conference was the broad community of researchers and industry practitioners as well as other practitioners and stakeholders, making it ideal for disseminating the project’s results. The project’s objective has been to detect the barriers to TDM, reveal best practices and put together sets of recommendations for TDM practitioners through a collaborative knowledge and open information approach. The barriers recorded were grouped around four pillars: a) legal, b) economic, c) skills, d) technical. These categories emerged after discussions with respective stakeholders such as researchers, developers, publishers and SMEs during Knowledge CafØs run across Europe (the Netherlands, the United Kingdom, Italy, Slovenia, Germany, Poland etc) and two workshops held in Brussels1 (on September, 27th 2016 and March, 29th 2017). The Symposium2 was a chance to invite experts from all over Europe to share their experience and expertise in different domains. It was also a great opportunity to announce the guidelines and recommendations formulated in order to increase TDM uptake. It started with a brief introduction by Bernhard J?ger (SYNYO)3 underlying the need to bring together different groups of stakeholders, such as policy makers and legislators, developers and users who would benefit from the project’s findings and the respective recommendations formed by the FTDM working groups. It continued with a keynote speech by Janek Strycharz (Projekt Polska Foundation) dedicated to the Economic Potential of Data Analytics. Janek Strycharz elaborated on different types of Big Data and the variety of possibilities they offer and explained how that at a global and european scale there could be a benefit from Big Data and TDM (the European GDP alone would be increased by USD 200 billion). Kiera McNeice (British Library) was the presenter in the fourth session and her presentation was entitled "Supporting TDM in the Education Sector". The session focusing on “Universities, TDM and the need for strategic thinking on educating researchers” was chaired by Ben White (Head of Intellectual Property at the British Library) and panelists Claire Sewell (Cambridge University Library), Jonas Holm (Stockholm University Library), and Kim Nilsson (PIVIGO). The discussion which followed touched upon issues such as the future of Data Science and the nature of Data Scientists. Some of the key concepts which were discussed were that of inclusion and diversity, gender imbalance and nationality characteristics, which all affect access to Data Science and the ability to become a Data Scientist. Concerns were expressed as to whether anyone could become a Data Scientist, and whether the focus should be on becoming a Data Scientist or a more efficient TDM user. The challenges and solutions regarding technologies and infrastructures supporting Text and Data Analytics was the topic of the fifth session, the main presenter of which was Maria Eskevich (Radboud University). She focused on "The TDM Landscape: Infrastructure and Technical Implementation" and touched upon the business and scientific perspectives on TDM by showing the investment made by the EU in the five economic sectors. She also talked about the barriers/challenges encountered in terms of accessibility and interoperability of infrastructures, sustainability of data and digital readiness of language resources. The following discussion, chaired by Stelios Piperidis (ARC) with Mihai Lupu (Data Market Austria ), Maria Gavrilidou (clarin: el) and Nelson Silva (know-centre) revolved around real TDM problems and the solutions the researchers came up with and close with the requirements of an effective TDM infrastructure. Future TDM The final session of the Symposium was dedicated to the Next Steps: A Roadmap to promoting greater uptake of Data Analytics in Europe. A presentation was made by Kiera McNeice (British Library) who briefly summarised what the project has achieved so far and focussed on the key principles from the FutureTDM Policy Framework4 which must underlie all the efforts to be made in the future in Legal Policies, Skills and Education, Economy and Incentives and Technical and Infrastructure. The Symposium close with a presentation of Bernhard J?ger and Burcu Akinci (SYNYO) of the FutureTDM platform (, which is populated with the project outcomes and findings.The platform will continue to exist after the end of the project and will be continuously revised and updated in order to maintain a coherent and up‐to‐date view on the TDM landscape




Data Science – Analytics and Applications. (2021). Data Science – Analytics and Applications. Springer Fachmedien Wiesbaden.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free