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Guest Talk: A user centred perspective on the discovery of structured data

Laura Koesten, MSc. 

Date/Time: 6.12.2018, 15:30 

Loca­tion: D2.2.094 

Abstract 

Struc­tured data is beco­ming critical in every domain and its avail­a­bi­lity on the web is incre­a­sing rapidly. Despite its abun­dance and variety of appli­ca­tions, we know very little about how people find data, under­stand it, and put it to use. My work aims to inform the design of data disco­very tools and tech­no­lo­gies from a user centred perspec­tive. We want to better under­stand what type of infor­ma­tion supports people in finding and selec­ting data rele­vant for their respec­tive tasks.

I will discuss the results of a series of mixe­d-­me­thods studies looking at the work­flow of data prac­ti­tio­ners, the speci­fics of data search on the web and the discourse that takes place around data in colla­bo­ra­tive activi­ties. In that context I will describe our work on user centred dataset summa­ries which can support the infor­ma­tion seeking process for data.

Bio 

Laura Koesten is a Marie Curie Skłodowska fellow, doing her PhD at the Open Data Insti­tute and at the Univer­sity of Sout­hampton in the UK. She is part of WDAqua, a Euro­pean Union’s Horizon 2020 initia­tive to advance state of the art Ques­tion Answe­ring. Her rese­arch inte­rests are Human Computer Inter­ac­tion, Inter­ac­tive Infor­ma­tion Retrieval with a focus on Dataset Search, Open Data and Sense­making. In her PhD she is looking at ways to improve Human Data Inter­ac­tion in IIR systems. She publishes at CHI and has a back­ground in Human Factors.



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