Search results for "data"
showing 10 items of 12992 documents
CYGD: the Comprehensive Yeast Genome Database.
2005
The comprehensive resource is available under http://mips.gsf.de/genre/proj/yeast/.; International audience; The Comprehensive Yeast Genome Database (CYGD) compiles a comprehensive data resource for information on the cellular functions of the yeast Saccharomyces cerevisiae and related species, chosen as the best understood model organism for eukaryotes. The database serves as a common resource generated by a European consortium, going beyond the provision of sequence information and functional annotations on individual genes and proteins. In addition, it provides information on the physical and functional interactions among proteins as well as other genetic elements. These cellular network…
National vegetation databases: the case of VegItaly.
2014
Regional metacommunities in two coastal systems: spatial structure and drivers of plant assemblages
2014
Aim Biogeographical patterns in metacommunities are still poorly understood, and different processes are expected to occur in different habitats. We analysed the regional plant metacommunities of coastal habitats to test whether (1) the influence of space and climate differs between two habitats differentiated along the seashore–inland gradient, and (2) regional variation in species composition of these habitats can be ascribed to different metacommunity paradigms. Location The entire coast of the Iberian Peninsula, south-western Europe. Methods We collected data on the plant species composition of coastal sites on sand dunes across 3000 km of coastline. The sites were classified into two h…
European Vegetation Archive: now EVA really starts!
2014
European Vegetation Archive (EVA) was announced as a new initiative of the European Vegetation Survey at the EVS Meeting in Vienna in 2012. The aim of EVA is to create a centralized database of European vegetation plots by storing copies of national and regional databases on a single software platform using a unified taxonomic reference database. EVA does not affect the ongoing independent developments of source data bases and it guarantees that data property rights of the original contributors are re spected. EVA Data Property and Governance Rules were approved and the EVA website (www.euroveg.org/evadatabase) was established in 2012. Since then several European vegetationplot database…
If Only They Knew: Audience Expectations and Actual Sourcing Practices in Online Journalism
2019
This article answers the question “Are the sourcing practices in Finnish online journalism trustworthy?” Here, trustworthiness is operationalized as the fulfillment of audience expectations towards sourcing practices. To this end, expectations of young Finnish adults (aged 18–28) were compared to the observed practices of Finnish online journalists. A total of 36 news items (from 12 journalists working in three newsrooms, published in 2013 and 2017) were analyzed. The analysis indicates that online journalists’ sourcing practices largely do not conform to this audience segment's expectations. Namely, the audience expects more comprehensive investigation and thorough verification than what i…
Datajournalismin työprosessi Helsingin Sanomissa ja Ylessä
2014
Selvitän pro gradu -työssäni, millainen on datajournalismin työprosessi Helsingin Sanomien, Ylen uutis- ja ajankohtaisohjelmien, sekä Svenska Ylen toimituksissa. Kuvaan toimitusten datajournalistisen prosessin tyypillistä kulkua ja haasteita, joita sen tekijät kohtaavat. Tämän lisäksi luotaan datajournalismin tulevaisuudennäkymiä. Helsingin Sanomien datadeski, Ylen Plus-deski ja Svenska Ylen Grävnavet valikoituivat tutkimuskohteiksi, koska ne ovat Suomen ainoat säännöllisesti datajournalismia tuottavat ryhmät. Tutkimusta varten keräsin tietoa teemahaastatteluilla ja toimituksissa tekemälläni havainnoinnilla. Tutkimuksessa selvisi, että datajournalistien suhtautumista toimittajan työhön ohja…
Personalisation in Journalism: Ethical insights and blindspots in Finnish legacy media
2022
The algorithmic personalisation and recommendation of media content has resulted in considerable discussion on related ethical, epistemic and societal concerns. While technologies of personalisation are widely employed by social media platforms, they are currently also being instituted in journalistic media. The objective of this study is to explore how concerns about algorithms are articulated and addressed when technologies of personalisation meet with long-standing journalistic values, norms and publicist missions. It first distinguishes five normative concerns related to personalisation: autonomy, opacity, privacy, selective exposure and discrimination. It then traces the ways that the…
Identifying the Sales Patterns of Online Stores with Time Series Clustering
2018
Electronic commerce, especially in the business-to-consumer (B2C) context, has for years been a popular research topic in information systems (IS). However, the prior research on the topic has traditionally been dominated by the consumer focus instead of the business focus of online stores. For example, whereas various segmentations exist for online consumers based on their purchase behaviour, no such segmentations have been developed for online stores based on their sales patterns. In this study, our objective is to address this gap in prior research by identifying the most typical sales patterns of online stores operating in the B2C context. By using self-organising maps (SOM) to analyse …
Datan analysointi verkkokauppojen suosittelujärjestelmissä big datan konteks-tissa
2015
Tämä tutkielma keskittyy suosittelujärjestelmien yleiseen toimintaperiaattee-seen ja niiden tarjoamiin hyötyihin. Suosittelujärjestelmien toiminta täyttää Big datalle ominaiset piirteet, mistä syystä asiaa lähestytään Big datan analysointi-na. Tarkoituksena on antaa lukijalle yleiskuva suosittelujärjestelmistä, niiden toimintaperiaatteesta ja käyttötarkoituksesta. Tutkielmassa käsitellään suositte-lujärjestelmistä yhteisöllistä, yhteistoimintapohjaista, demografista ja tietä-myspohjaista suodatusta sekä hybridejä variaatioita. Lisäksi kerrotaan suositte-lujärjestelmien tarjoamista hyödyistä nimenomaan palveluntarjoajan näkökul-masta. Tutkielma on toteutettu kirjallisuuskatsauksena. Lähdeain…
Using AI to personalise emotionally appealing advertisement
2019
Personal data and information collected online by companies can be used to design and personalise advisements. This chapter extends existing research into the online behavioural advertising by proposing a model that incorporates artificial intelligence and machine learning into developing emotionally appealing advertisements. It is proposed that big data and consumer analytics collected through AI from different sources will be aggregated to have a better understanding of consumers as individuals. Personalised emotionally appealing advertisements will be created with this information and shared digitally using pragmatic advertising strategies. Theoretically, this chapter contributes towards…