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[Wikimedia-l] Re: [Wikimedia Research Showcase] February 15 at 9:30AM PT, 17:30 UTC
Thank you for your cooperation.

?? ????? ???????? ?? ?????? ?????? ??:?? Emily Lescak <>

> A reminder that this is starting in about an hour! We hope you can join us!
> Best,
> Emily
> On Wed, Feb 8, 2023 at 2:27 PM Emily Lescak <> wrote:
>> Hello everyone,
>> The next Research Showcase will be livestreamed next Wednesday, February
>> 15 at 9:30AM PT / 17:30 UTC. The theme is The Free Knowledge Ecosystem.
>> YouTube stream:
>> We welcome you to join the conversation on IRC at #wikimedia-research.
>> You can also watch our past research showcases:
>> This month's presentations:
>> The evolution of humanitarian mapping in OpenStreetMap (OSM) and how it
>> affects map completeness and inequalities in OSMBy *Benjamin Herfort,
>> Heidelberg Institute for Geoinformation Technology*Mapping efforts of
>> communities in OpenStreetMap (OSM) over the previous decade have created a
>> unique global geographic database, which is accessible to all with no
>> licensing costs. The collaborative maps of OSM have been used to support
>> humanitarian efforts around the world as well as to fill important data
>> gaps for implementing major development frameworks such as the Sustainable
>> Development Goals (SDGs). Besides the well-examined Global North - Global
>> South bias in OSM, the OSM data as of 2023 shows a much more spatially
>> diverse spread pattern than previously considered, which was shaped by
>> regional, socio-economic and demographic factors across several scales.
>> Humanitarian mapping efforts of the previous decade have already made OSM
>> more inclusive, contributing to diversify and expand the spatial footprint
>> of the areas mapped. However, methods to quantify and account for the
>> remaining biases in OSM’s coverage are needed so that researchers and
>> practitioners will be able to draw the right conclusions, e .g. about
>> progress towards the SDGs in cities.
>> Dataset reuse? Toward translating principles to practiceBy *Laura
>> Koesten, University of Vienna*The web provides access to millions of
>> datasets. These data can have additional impact when used beyond the
>> context for which they were originally created. But using a dataset beyond
>> the context in which it originated remains challenging. Simply making data
>> available does not mean it will be or can be easily used by others. At the
>> same time, we have little empirical insight into what makes a dataset
>> reusable and which of the existing guidelines and frameworks have an
>> impact.In this talk, I will discuss our research on what makes data
>> reusable in practice. This is informed by a synthesis of literature on the
>> topic, our studies on how people evaluate and make sense of data, and a
>> case study on datasets on GitHub. In the case study, we describe a corpus
>> of more than 1.4 million data files from over 65,000 repositories. Building
>> on reuse features from the literature, we use GitHub’s engagement metrics
>> as proxies for dataset reuse and devise an initial model, using deep neural
>> networks, to predict a dataset’s reusability. This demonstrates the
>> practical gap between principles and actionable insights that might allow
>> data publishers and tool designers to implement functionalities that
>> facilitate reuse.
>> We hope you can join us!
>> Warm regards,
>> Emily
>> --
>> Emily Lescak (she / her)
>> Senior Research Community Officer
>> The Wikimedia Foundation
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