Livrables
Two successive reports on the results of the analysis of feedback data in Task 3.4, to be used for improving the curricula, learning resources and delivery.
Demand and supply analysis reportThis deliverable will report the types of supply analyses conducted in relation to the demand analysis and how this work has been implemented in the EDSA dashboard. The report will also describe how the demand and supply data are presented in the dashboard and how users are able to interact with this data in order to explore the current demand and supply
Data science curricula 3This iterated deliverable will contain the data science curricula produced by the project, which will be targeting a variety of industry sectors and roles within these sectors. These curricula will be revised and refined based on the demand analysis of WP1 and reflecting on the evaluations with stakeholders conducted in WP3.
Project ShowcaseThis deliverable will organise show cases for the courses, services and other deliverables developed in this project.
Report on the delivery of video lectures, webinars and face-to-face-trainings 2Three successive reports on the courses delivered. In particular, recommendations will be given for the curricula, learning resources and future delivery.
Report on the delivery of video lectures, webinars and face-to-face trainings 1Three successive reports on the courses delivered. In particular, recommendations will be given for the curricula, learning resources and future delivery.
The EDSI CharterThe EDSI Charter will form the foundation of EDSI It will define the responsibilities of the member organisations to steward the outputs of the project Further it will prolong the activities of the project enabling future studies to be carried out and further curricular to be developed with suitable materials to suit new methods of delivery
Lessons learned and best practices from the production of learning resourcesThis deliverable will report on the overall lessons learned and the best practices derived from the production of multimodal and multilingual learning resources. In particular, we will describe the approach we adopted for the development and delivery of our learning resources. We will also reflect on the successes and failures of this approach and describe how it was adapted based on the community feedback. Finally, we will present the best practices derived from this process.
Preliminary individual, joint and external exploitation plansPreliminary version of individual, joint and external exploitation plans will continually evolve throughout the project. These plans will detail and quantify each partner’s usage of the projects outputs.
Real-world and online community engagement planThis deliverable will be based upon a study of which “real world” activities (meetups, focus groups, hackathons), the social media channels (mailing lists, wikis, blogs) to be strategically targeted by the project, and will plan a series of EDSA-organized events. A plan will be put in place for feedback-solicitation and continued engagement. In particular we will propose how impact related to those channels will be monitored throughout the project’s timeline.
Final community engagement and networking reportThis deliverable will report on the complete EDSA participation in external events, social media engagement, distribution of the dissemination materials, and the feedback received. A longevity plan will outline successful events and their potential adoption by new projects and collaborations.
Data science curricula 2This iterated deliverable will contain the data science curricula produced by the project, which will be targeting a variety of industry sectors and roles within these sectors. These curricula will be revised and refined based on the demand analysis of WP1 and reflecting on the evaluations with stakeholders conducted in WP3.
Data science curricula 1This iterated deliverable will contain the data science curricula produced by the project, which will be targeting a variety of industry sectors and roles within these sectors. These curricula will be revised and refined based on the demand analysis of WP1 and reflecting on the evaluations with stakeholders conducted in WP3.
Individual, joint and external exploitation plansIndividual, joint and external exploitation plans will continually evolve throughout the project. These plans will detail and quantify each partner’s usage of the projects outputs.
Interim community engagement and networking reportThis deliverable will report on our participation in external events, and on the delivery of, and feedback from, EDSA events in the both real-world and online. The plan from D4.3 will be revised in light of this feedback.
Establishing EDSIThe European Data Science Institute will represent the projects legacy. It will bring together organisations that have all signed the EDSI charter under one banner of excellence. The launch of the EDSI will create a significant web presence and brand that will carry forward the work of the project.
Study evaluation report 2This is second report (first delivered in M6). The results of the studies will be evaluated and presented in a single output that will provide a three dimensional analysis of the demands for data science training crossing many sectors and needs within those sectors. This dashboard view of data science training demand will allow stakeholders to quickly view the perspective of Europe, as well as each country covered during the study. Accompanying the dashboard will be an executive summary detailing the significant findings, a recommendation for curricula development and a brief discussion of future opportunities for further studies. Where possible, open data will be provided such that others can also download the raw data and evaluate the project’s findings.
Report on the delivery of video lectures, webinars and face-to-face trainings 3Three successive reports on the courses delivered. In particular, recommendations will be given for the curricula, learning resources and future delivery.
Industry advisory boardThe final members list of people on the industry advisory will be published publicly on the project website along with agreed descriptions of each member’s role and involvement. All members should be open to being listed publically, at least as company and sector. A public listing will only be withheld as a last resort.
Project exploitation reportThis deliverable will detail the total exploitation of the project outputs and begin to quantify the projects reach and potential impact. The report will cover internal, joint and external exploitation of project outputs and give details of each. Further the report will offer a breakdown of sectors and targets of the project and suggest future opportunities for effective exploitation. This report will be used to evaluate the project’s success against the objectives and outline how EDSA has fulfilled the demand for data science training in Europe and with its related value.
Report on the evaluation of course content and delivery 2Two successive reports on the results of the analysis of feedback data in Task 3.4, to be used for improving the curricula, learning resources and delivery.
Study design documentLead: ODI This deliverable will detail the different qualitative and quantitative studies to be carried out in order to establish cross sector demand for data science training. The outline of the qualitative studies will include a template of the questionnaire and variations for each sector and industry type. A brief discussion on survey methodology and opportunities for evaluation will also be included. Finally a list of associates that will carry out the surveys and collate results will also be provided with associated costs (as described in section 2.3.5.1 of Part B). This deliverable will also outline the quantitative evaluation techniques and critically evaluate how each relates to the qualitative questionnaire. This deliverable will develop further the comprehensive study in section 1.3 to demonstrate the evolution of demand for data science training across many sectors.
Key figures of attained audienceThis deliverable reports the measurable figures achieved by EDSA in communication with the public, including: views of learning materials, mentions in media, size and activity of social media (e.g. followers). We will also incorporate a qualitative summary of results and lessons learned. We will pay particular attention to monitoring and measuring the impact of dissemination materials.
Study evaluation report 1The results of the studies will be evaluated and presented in a single output that will provide a three dimensional analysis of the demands for data science training crossing many sectors and needs within those sectors. This dashboard view of data science training demand will allow stakeholders to quickly view the perspective of Europe, as well as each country covered during the study. Accompanying the dashboard will be an executive summary detailing the significant findings, a recommendation for curricula development and a brief discussion of future opportunities for further studies. Where possible, open data will be provided such that others can also download the raw data and evaluate the project’s findings. A second version of the report will be produced for M18
A final version of the DMP, which will focus on sustainability, curation and preservation aspects.
Updated EDSA Data Management PlanAn update to the EDSA Data Management Plan taking into account new and emerging EDSA datasets. The DMP will be continuously updated as the project progresses.
Initial EDSA Data Management PlanThis deliverable will outline the first version of the EDSA Data Management Plan as part of our participation in the Open Research Data Pilot. The DMP will outline the datasets which we will make public for the pilot answering as far as we can the items mentioned above (types of data, standards to be used, verification, re-use, curation and preservation).
This iterated deliverable will contain the learning resources, i.e. the courses and eBook, produced in every year of the project. The courses will be represented as learning pathways, which will be adaptable and configurable so that they can be customised for different learning contexts. The eBook will be produced in two formats: Apple iBooks for iPads and MacOS, as well as ePUB for all other tablets and desktop computers. This deliverable will be accompanied by a document describing it.
Learning resources 2This iterated deliverable will contain the learning resources, i.e. the courses and eBook, produced in every year of the project. The courses will be represented as learning pathways, which will be adaptable and configurable so that they can be customised for different learning contexts. The eBook will be produced in two formats: Apple iBooks for iPads and MacOS, as well as ePUB for all other tablets and desktop computers. This deliverable will be accompanied by a document describing it.
Learning resources 1This iterated deliverable will contain the learning resources, i.e. the courses and eBook, produced in every year of the project. The courses will be represented as learning pathways, which will be adaptable and configurable so that they can be customised for different learning contexts. The eBook will be produced in two formats: Apple iBooks for iPads and MacOS, as well as ePUB for all other tablets and desktop computers. This deliverable will be accompanied by a document describing it.
The project website will provide project overviews and highlights; up-to-date information on intermediate and final project results, including public reports and publications as well as synthesis reports drawn from selected confidential material; project events, including e.g. factsheets, focus groups meetings, webinars, conferences and workshops; and contact details. The website will be cross-linked from/to other relevant EC and EC sponsored sites. The website will be maintained and updated for at least three years after the project has ended. Documentation manuals and screencasts shall be specifically identified as project deliverables and prominently published on the website. The curricula and learning resources published on the website will be marked up as Linked Data. A preliminary website can be found at edsa-project.eu. This deliverable will be accompanied by a short document describing the deliverable.
Publications
Auteurs:
Mikroyannidis, Alexander, Domingue, John, Phethean, Christopher, Beeston, Gareth, Paul and Simperl, Elena
Publié dans:
20th International Conference on Interactive Collaborative Learning (ICL 2017), Numéro 2017/05, 2017
Éditeur:
Springer
Auteurs:
Mikroyannidis, Alexander; Domingue, John; Phethean, Christopher; Beeston, Gareth and Simperl, Elena
Publié dans:
Open Education Global Conference 2017, Numéro 03/2017, 2017
Éditeur:
Open Education Consortium
Auteurs:
Dadzie, Aba-Sah and Domingue, John
Publié dans:
VOILA 2015, Numéro 1456, 2015, Page(s) 1-12
Éditeur:
ISWC 2015
Auteurs:
Mukala, Patrick, Joos Buijs, Maikel Leemans, and Wil van der Aalst
Publié dans:
Proceedings of the 5th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2015), 2015
Éditeur:
SIMPDA 2015
Auteurs:
A.-S. Dadzie, E.M. Sibarani, I. Novalija, S. Scerri
Publié dans:
Journal of Web Semantics, Numéro 49, 2018, Page(s) 51-70, ISSN 1570-8268
Éditeur:
Elsevier BV
DOI:
10.1016/j.websem.2017.12.004
Auteurs:
Christopher Phethean, Elena Simperl, Thanassis Tiropanis, Ramine Tinati, Wendy Hall
Publié dans:
IEEE Intelligent Systems, Numéro 31/3, 2016, Page(s) 102-107, ISSN 1541-1672
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/MIS.2016.54
Auteurs:
Mukala, P., J. C. A. M. Buijs, and W. M. P. van der Aalst
Publié dans:
BPM Center Report, Numéro 15-10, 2015
Éditeur:
BPMcenter.org
Auteurs:
P. Mukala
J.C.A.M. Buijs
W.M.P. van der Aalst
Publié dans:
BPM Center Report, Numéro 15-09, 2015
Éditeur:
BPMcenter.org
Auteurs:
Alexander Mikroyannidis, John Domingue, Maria Maleshkova, Barry Norton, Elena Simperl
Publié dans:
Open Data for Education, 2016, Page(s) 135-152, ISBN 978-3-319-30493-9
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-30493-9_7
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