Another double bill meetup special.
In recent years, the publishing and consuming of Open Data has been widespread across the globe. Open Data has the potential to lead to economic benefit, democratic accountability through increased transparency, and social change. However, there are still challenges and barriers to entry both for publishers and consumers that remain in this field; such as the cost for publishing and the resources and/or skills required (such as hosting).
In our first presentation, Amanda Smith (Community Engagement Manager at the Open Data Institute) will provide an overview of one of the Open Data Institute (ODI) EU FP7 research projects, “Data-and-Publishing-as-a-Service” (DaPaaS). DaPaaS is a two-year collaborative project which brings together six partners from four countries - experts specialising in the fields of research, semantic technology, open and linked data, mobile application development and technical communications. This talk will introduce the project and outline its aims, impacts and key deliverables.
Amanda Smith is the Community Engagement Manager at the Open Data Institute, working with Dr Tom Heath, Head of Research. She is responsible for managing the dissemination activities of ODI research; including the ODI’s two EU funded FP7 research projects; DaPaaS (Data-as-a-platform-and-service) and ODM (OpenDataMonitor). These collaborative projects are bringing together partners from across Europe and beyond to create technology platforms to help policy makers, developers and start-up companies. Before joining the ODI, Amanda worked in policing and government, and she holds a BA Hons in Criminology. She discovered her passion for open data when working with police forces throughout the country to release open crime and justice data, developing the national crime mapping website, Police.uk and its data site, Data.police.uk.
The World Wide Web is now deeply intertwined to our lives, and has become a catalyst for a data deluge, making vast amount of data available online, at a click of a button. With Web 2.0, users are no longer passive consumers, but active publishers and curators of data. Hence, from science to food manufacturing, from data journalism topersonal well-being, from social media to art, there is a strong interest in provenance, a description of what influenced anartifact, a data set, a document, a blog, or any resource on the Web and beyond. Provenance is a crucial piece of information that can help a consumer make judgment as to whether something can be trusted. Provenance is no longer seen as a curiosity in art circles, but it is regarded as pragmatically, ethically, and methodologically crucial for our day-to-day data manipulation and curation activities on the Web.
Following the recent publication of the W3C PROV standard for provenance on the Web, this talk will present an overview of the PROV data model and ontology. The use of PROV will be illustrated in a simple application.
Luc Moreau is a Professor of Computer Science, in the Web and Internet Science group (WAIS), in ECS-Electronics and Computer Science at the University of Southampton. Luc was co-chair of the W3C Provenance Working Group, which resulted in four W3C Recommendations and nine W3C Notes, specifying PROV, a conceptual data model for provenance the Web, and its serializations in various Web languages. Previously, he initiated the successful Provenance Challenge series, which saw the involvement of over 20 institutions investigating provenance inter-operability in 3 successive challenges, and which resulted in the specification of the community Open Provenance Model (OPM). He is on the editorial board of "ACM Transactions on Internet Technology" and before that, he was editor-in-chief of the journal Concurrency and Computation: Practice and Experience. Luc recently co-authored with Paul Groth "Provenance: an Introduction to PROV", a hands-on introduction to PROV for practitioners; associated Web site:http://www.provbook.org/.