Update data-sources.md (#232)

* Update data-sources.md

I have updated the text of this page to correspond to the modifications in the Google doc as of 18/Sep/2023.

* Update data-sources.md

added EUI data portal in the new way of tagging tools

---------

Co-authored-by: Laura Portell Silva <[email protected]>

socioeconomic-data/data-sources.md

@@ -27,22 +27,22 @@ This page provides an introduction to socioeconomic data for infectious disease
 
 Social science research is devoted to studying societal phenomena, social changes and the impact on the individuals. The discipline includes branches such as political science, psychology, economics, and sociology, among several others. All disciplines of social sciences have a common ground of producing knowledge around the study of various aspects of human action and cultural interaction.
 
-Social science data can provide important insights for infectious diseases research, as well as policy for disease preparedness and mitigation. For example, social sciences can help understand
+Social science data can provide important insights for infectious diseases research, as well as policy for disease preparedness and mitigation. For example, social sciences can help understand:
 
 - how infectious diseases spread among and impact different segments of society such as different socioeconomic groups or economic sectors;
 - how effective different government strategies are at combating the spread of a virus;
 - how political and psychological factors can affect vaccine uptake;
 - provide the socioeconomic elements on which policies and communication actions should focus and/or adapt in order to be more efficient.
 
-For these reasons, the social sciences are considered a crucial aspect to deal with infectious diseases, including COVID-19. To facilitate this effort, social science data is mobilized via the {% tool "covid-19-data-portal" %} to achieve the following objectives:
+For these reasons, the social sciences are considered a crucial aspect to deal with infectious diseases, including COVID-19. To facilitate this effort, social science data is mobilised via the {% tool "covid-19-data-portal" %} to achieve the following objectives:
 
 - Connect it with other sources of data such as clinical or virological data.
-- Standardize social science data.
+- Standardise social science data.
 - Provide methods and protocols for exposing and analysing it. 
 
 ### Considerations
 
-- **Methodologies**: Social sciences methodologies are quite diverse and complex as they try to investigate complex, changeable, and often intangible social phenomena such as trust, ideology, or socioeconomic status. Thus, social sciences use both quantitative and qualitative research methods, often in combination, ranging from large scale quantitative surveys, to interviews or ethnographic research. As such, socioeconomic research methodologies and data often differs significantly from the those typically used in the life sciences. 
+- **Methodologies**: Social sciences methodologies are quite diverse and complex as they try to investigate complex, changeable, and often intangible social phenomena such as trust, ideology, or socioeconomic status. Thus, social sciences use both quantitative and qualitative research methods, often in combination, ranging from large scale quantitative surveys, to interviews or ethnographic research. As such, socioeconomic research methodologies and data often differ significantly from those typically used in the life sciences. 
 
 - **Sensitive data and privacy**: due to the prevalence of sensitive and personal data in socioeconomic research, access to such data is often limited by serious data protection and privacy concerns, often making the use and sharing of such data difficult. Solutions such as pseudonymising data, or providing access via secure environments such as the {% tool "oddisei-secure-analysis-environment" %} can often provide some level of access to sensitive data, yet much of this data is only available on request, or as aggregated data. 
 
@@ -58,20 +58,22 @@ From the demography perspective, there have been surveys and related publication
 - the role of nursing homes, especially during the first wave ([Bernandi et al. 2021](https://doi.org/10.1186/s41118-021-00119-5));
 - the role of gender or socioeconomic status ([Horton 2020](https://pubmed.ncbi.nlm.nih.gov/32979964/)).
 
-From the perspective of political science, psychology or sociology sciences’ perspective, surveys that studied the effect of conspiracy theories regarding vaccines, propagation of virus and others, have show clusters of people that relate resistance to vaccines with respect to personal ideology, adherence to conspiracy theories or that lower level of education, religiosity, conspiracy thinking can be an indicator for vaccine resistance. 
+From the political science, psychology or sociology sciences’ perspective, surveys that studied the effect of conspiracy theories regarding vaccines, propagation of virus and others, have shown clusters of people that relate resistance to vaccines with respect to personal ideology, adherence to conspiracy theories or that lower level of education, religiosity, conspiracy thinking can be an indicator for vaccine resistance. 
 
 Even industrial advanced societies proved that they were not well-prepared to combat the devastated pandemic. Lessons learnt should focus on how to adjust health systems responses but also to find ways to strengthen trust among citizens building on resilience, access to information and services for all. 
+- Examples of successful uses of social science in infectious diseases research (e.g. ([this](https://madoc.bib.uni-mannheim.de/55629/), or e.g. [papers describing this](https://link.springer.com/content/pdf/10.1007/s13194-021-00416-y.pdf)
+- Journals, outlets, platforms, communities etc. for related research - e.g. [BY-COVID Zenodo Community](https://zenodo.org/communities/bycovid/?page=1&size=20), [COVID-19 Social Science working group (who.int)](https://www.who.int/publications/m/item/covid-19-social-science-working-group), relevant [FAIRsharing resources](https://fairsharing.org/3494)
 
-## Relevant data sources
 
-Currently, the COVID-19 Data Portal contains over 537 metadata records from the [Consortium of European Social Science Data Archives' (CESSDA)](https://www.cessda.eu/) {% tool "cessda-data-catalogue" %}, which will soon be joined by data from the [European University Institute's (EUI)](https://www.eui.eu/en/home) {% tool "eui-covid-19-ssh-data-portal" %}.
+## Search and discoverability
 
+Currently, the COVID-19 Data Portal contains metadata records from the [Consortium of European Social Science Data Archives' (CESSDA)](https://www.cessda.eu/) {% tool "cessda-data-catalogue" %} and the [European University Institute's](https://www.eui.eu/en/home) (EUI) {% tool "eui-covid-19-ssh-data-portal" %}.
 
 For socioeconomics, two primary data sources are considered and are outlined in this section. These data sources provide data that relate to or are relevant for COVID-19 and other infectious disease outbreaks. These data sources are filtered for data relevant to COVID-19, and the resulting metadata is prepared and harmonized via a [harvesting tool](https://t2-4.by-covid.bsc.es/jspui/) before being added to the COVID-19 Data Platform (for more details, see project deliverable [D2.1](https://zenodo.org/record/7017728)).
 
 ### Considerations
 
-- **Licenses**: Socio-economic data sources are generally public and accessible, but authorization or licensing agreements may be required to access some datasets. While the complete datasets may not always be openly available, the metadata is typically freely accessible. Socioeconomic data sources also offer programmatic access to their metadata using standards like the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH). This enables the automated harvesting, harmonisation, and transformation of metadata into the OmicsDI format, which can then be used by the COVID-19 Data Portal.
+- **Licenses**: Socio-economic data sources are generally public and accessible, but authorisation or licensing agreements may be required to access some datasets. While the complete datasets may not always be openly available, the metadata is typically freely accessible. Socioeconomic data sources also offer programmatic access to their metadata using standards like the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH). This enables the automated harvesting, harmonisation, and transformation of metadata into the OmicsDI format, which can then be used by the COVID-19 Data Portal.
 
 ### Existing approaches