IntelCompH2020 / sti-viewer

European Union Public License 1.2
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First Set of User Stories #2

Closed igrypari closed 2 years ago

igrypari commented 2 years ago

I'd like to request A new Report for the STI Viewer

(NB: In the interest of time I separate the issues into tabs.)

The user flow that leads to the report is the following

The report should contain the following tabs:

Tab Name: Science & Technology

Chart Group 1: Scientific Production –Trends

    Chart 1:
        Title: Energy
        Chart Subtitle: Publications over Time
        Description: The graph shows the evolution in the number of publications in the Energy domain, over time. 
        Type: area chart 
        xAxisName: year
        yAxisName: publications
        xColumnField: key
        yColumnField: value
        GroupingByField: --

        Chart 2:
        Title: Topics in Energy
        Chart Subtitle: Publications over Time
        Description: The graph shows the evolution in the number of publications in different topics in the Energy domain, over time. The ontology of topics is taken from the technical annex of the Final Report of the [EU taxonomy for sustainable activities](https://finance.ec.europa.eu/sustainable-finance/tools-and-standards/eu-taxonomy-sustainable-activities_en#documents) (Chapter 4. “Electricity, gas, steam and air conditioning supply,” p. 205). Our Fields of Science (FoS) classification system uses deep learning techniques to assign a scientific publication to different FoS classes, down to level 6, which we subsequently map to the ontology of topics in Energy. 
        Type: stacked area chart
        xAxisName: year
        yAxisName: publications
        xColumnField: key
        yColumnField: value
        GroupingByField: topic

Chart Group 2: Scientific Production Origins

    Chart 1:
        Title: Countries
        Chart Subtitle: Publications by Country
        Description: The graph shows the number of publications by the country of the affiliated organization of an author. In the case of multiple authors each organization and corresponding country is counted as a separate publication (e.g., one publication with three authors, where two are from Greece and one is from Spain is counted as two publications in Greece and one in Spain).
        Type: world map
        xAxisName: 
        yAxisName: 
        xColumnField: key
        yColumnField: value
        GroupingByField: 

    Chart 2:
        Title: Organizations
        Chart Subtitle: Publications by Organization (top 100)
        Description: The graph shows the top 100 organizations in terms of number of publications in Energy. 
        Type: column with the ability to move the x-axis range (like in data4impact societal impact tab) and filter for organization name. Initialize at top 20)
        xAxisName: organization
        yAxisName: publications
        xColumnField: key
        yColumnField: value
        GroupingByField: 

Chart Group 3: Scientific Production Characteristics

Chart 1: Title: SDGs Chart Subtitle: Publications by SDG Description: The graph shows the number of publications by UN Sustainable Development Goal (SDG, https://sdgs.un.org/goals). Our SDG classification system uses deep learning techniques to assign a scientific publication to the SDGs that are related to it. Type: tree map with multiple colors (https://echarts.apache.org/examples/en/editor.html?c=treemap-disk) xAxisName: yAxisName: xColumnField: key yColumnField: value GroupingByField:

Chart Group 4: Scientific Impact Trends

        Chart 1: 
        Title: Citability
        Chart Subtitle: Citable Scientific Publications over Time 
        Description: The graph shows the number of scientific publications in the Energy domain, originating from European organizations with at least one citation, over time. 
        Type: line
        xAxisName: year
        yAxisName: publications
        xColumnField: key
        yColumnField: value
        GroupingByField: 

        Chart 2: 
        Title: Citations 
        Chart Subtitle: Total Citations over Time 
        Description: The graph shows the total number of citations of scientific publications in the Energy domain, originating from European organizations, over time by the year of publication. 
        Type: line
        xAxisName: year
        yAxisName: citations
        xColumnField: key
        yColumnField: value
        GroupingByField: 

        Chart 3: 
        Title: Average Citations
        Chart Subtitle: Citations per Publication over Time 
        Description: The graph shows the average number of citations per scientific publication in the Energy domain, originating from European organizations, over time by the year of publication. 
        Type: line
        xAxisName: year
        yAxisName: citations per publication
        xColumnField: key
        yColumnField: value
        GroupingByField: 

Chart Group 5: Scientific Impact Origins

    Chart 1:
        Title: Countries
        Chart Subtitle: Citations per Publication by Country
        Description: The graph shows the average number of citations per publication by the country of the affiliated organization of an author. In the case of multiple authors each organization and corresponding country is counted as a separate publication (e.g., one publication with three authors, where two are from Greece and one is from Spain is counted as two publications in Greece and one in Spain).
        Type: bar
        xAxisName: country
        yAxisName: citations per publication
        xColumnField: key
        yColumnField: value
        GroupingByField: 

    Chart 2:
        Title: Organizations
        Chart Subtitle: Citations per Publication by Organization (top 100)
        Description: The graph shows the top 100 organizations in terms of average number of citations per publication in Energy. 
        Type: column with the ability to move the x-axis range (like in data4impact societal impact tab) and filter for organization name. Initialize at top 20)
        xAxisName: organization
        yAxisName: citations per publications
        xColumnField: key
        yColumnField: value
        GroupingByField: 

Chart Group 6: Scientific Impact Characteristics

        Chart 1: 
        Title: Topics
        Chart Subtitle: Citations per Publication by Topic in Energy
        Description: The graph shows the average number of citations per scientific publication for different topics in the Energy domain. The ontology of topics is taken from the technical annex of the Final Report of the [EU taxonomy for sustainable activities](https://finance.ec.europa.eu/sustainable-finance/tools-and-standards/eu-taxonomy-sustainable-activities_en#documents) (Chapter 4. “Electricity, gas, steam and air conditioning supply,” p. 205). Our Fields of Science (FoS) classification system uses deep learning techniques to assign a scientific publication to different FoS classes, down to level 6, which we subsequently map to the ontology of topics in Energy. 

        Type: ordered nightingale chart with the legend on the side (https://echarts.apache.org/examples/en/editor.html?c=pie-roseType-simple but legend on side)
        xAxisName: topic
        yAxisName: 
        xColumnField: key
        yColumnField: value
        GroupingByField: 

        Chart 2: 
        Title: SDGs
        Chart Subtitle: Citations per Publication by SDG
        Description: The graph shows the average number of citations per scientific publication by UN Sustainable Development Goal (SDG, https://sdgs.un.org/goals). Our SDG classification system uses deep learning techniques to assign a scientific publication to the SDGs that are related to it.

        Type: tree map with multiple colors (https://echarts.apache.org/examples/en/editor.html?c=treemap-disk)
        xAxisName: 
        yAxisName: 
        xColumnField: key
        yColumnField: value
        GroupingByField:
igrypari commented 2 years ago

@dtziotzios

dtziotzios commented 2 years ago

Done.