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Integrating Public Domain Data to Construct Community Profiles

This paper outlines an approach for collecting and integrating data useful for evidence based planning and decision making in the not-for-profit sector, in particular for local government policy and planning. Given the methodological advances in multi-level analysis and the nature of rigorous policy analysis, leading academics and practitioners are advocating that policy driven research to be undertaken at a number of levels of analysis. Recent years have brought an explosion of public domain data in many aspects of social, economic and cultural aspects of society (cites and examples) and with this comes the opportunity, as outlined here, to integrate relevant public domain data in order to construct community profiles for local government areas in Victoria. ; E1

International audience ; This poster is presented in tandem with the Sensitive Data IG session at RDA18 (which shares the same name). In previous meetings, the Sensitive Data IG has scoped the interest and needs of the RDA community. At this meeting, we focus on specific challenges and opportunities associated with working with Sensitive Data. This poster explores one of these - how do we understand sensitive data definitions in different regions and disciplines, and how might we develop a shared language around sensitive data. For example, developing an understanding of different community agreed vocabularies and how these relate to each other. This poster will consist of three sections. First, case studies of different types of sensitive data will be presented. These will include, for example, case studies from the humanities, medicine, and military cases. Second, different classification systems for the level of sensitive data will be shown. This will explore, for example, what constitutes a high level of sensitive data in one classification system compared to another. Third, examples of how sensitive data is managed across different regions will be given. For example, what protocols govern the use of sensitive data in the Australian context compared to the European context?By presenting these examples, this poster aims to promote wider discussion on how sensitive data is currently defined. Further, it aims to draw out how context can impact whether data is considered sensitive. In doing so, it takes steps towards developing a common language for discussing sensitive data classifications and levels across contexts/disciplines/localities. This poster compliments the RDA Sensitive Data IG session. It is developed by the Sensitive Data IG co-chairs and is an opportunity for us to convey our ideas and seek input from the community in a different forum.More information and contact details for the Sensitive Data IG available at https://www.rd-alliance.org/groups/sensitive-data-interest-group

As sensitive data are increasingly used for research purposes, reducing the risk of data misuse has become particularly crucial. At the same time, as demonstrated during the COVID19 crisis, sharing high-quality data is a sine qua non to assess and compare research results and to leverage data to their fullest capacity. The Sensitive Data Interest Group aims to promote the FAIR principles and reproducible research, while drawing attention to the unique risks associated with sensitive data and exploring mitigation strategies for these risks. Synthesis research that aggregates data at large scales often uses several kinds of sensitive data, but the ethical and legal issues are often not fully addressed, especially when harmonising differing ethical and legal considerations across regions. Further complicating matters, "sensitive data" are often not even defined in the same way. As a result, reproducing research in different regions or contexts is often difficult, and sensitive data sharing processes are not well sustained. In this poster, our group proposes the following working definition of sensitive data, adapted from David et al., 2020, "Templates for FAIRness evaluation criteria - RDA-SHARC IG" https://zenodo.org/record/3922069#.YCJU7ehKg2w : Information that is regulated by law due to possible risk for plants, animals, individuals and/or communities and for public and private organisations. Sensitive personal data include information related to racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership and data concerning the health or sex life of an individual. These data that could be identifiable and potentially cause harm through their disclosure. For local and government authorities, sensitive data is related to security (political, diplomatic, military data, biohazard concerns, etc.), environmental risks (nuclear or other sensitive installations, for example) or environmental preservation (habitats, protected fauna or flora, in particular). The sensitive data ...

RDA VP17 Theme: Opening data for global challengesOne of the major strengths of RDA is the global reach of the network. Members come from 145 different countries and plenary meetings rotate around the continents. This diversity of collaboration is required to address global challenges and broker solutions that work for a manifold of different contexts. Richer outputs and standards occur as a result.RDA's plenary meetings provide an opportunity for this diverse collaboration to make rapid progress in all areas of its work - initiating and joining new working groups, sharing interim results from in-progress work, identifying areas of overlap and synergy, and presenting completed work and successful stories of its adoption. The outputs developed by RDA groups all aim to ensure that data can be shared and reused, and made more open, in global and cross-domain environments. This supports RDA's vision and mission:Researchers and innovators can openly share and re-use data across technologies, disciplines and countries to address the grand challenges of society.RDA's members build the social and technical bridges to enable open sharing and reuse of data.Plenary 17 in Edinburgh will focus on the themes of global challenges, global mechanisms for data reuse, sustainable solutions with benefits for all, and global cooperation to realise these ends.How do you ensure global participation in the creation, relevance and use of mechanisms (technical and social) for data interchange?How can technology lower barriers to uptake - and when might it create barriers? What means can we create to overcome non-technical barriers to uptake, be they formal (such as legislation and workflows) or informal, behavioural ones?How do RDA values encourage diversity and safeguard the interests of all, rather than favouring privileged groups?How can global fora speed up research into crises such as COVID-19, climate change and bio-diversity?The plenary will highlight several research use cases around global collaboration to address grand ...

RDA VP17 Theme: Opening data for global challengesOne of the major strengths of RDA is the global reach of the network. Members come from 145 different countries and plenary meetings rotate around the continents. This diversity of collaboration is required to address global challenges and broker solutions that work for a manifold of different contexts. Richer outputs and standards occur as a result.RDA's plenary meetings provide an opportunity for this diverse collaboration to make rapid progress in all areas of its work - initiating and joining new working groups, sharing interim results from in-progress work, identifying areas of overlap and synergy, and presenting completed work and successful stories of its adoption. The outputs developed by RDA groups all aim to ensure that data can be shared and reused, and made more open, in global and cross-domain environments. This supports RDA's vision and mission:Researchers and innovators can openly share and re-use data across technologies, disciplines and countries to address the grand challenges of society.RDA's members build the social and technical bridges to enable open sharing and reuse of data.Plenary 17 in Edinburgh will focus on the themes of global challenges, global mechanisms for data reuse, sustainable solutions with benefits for all, and global cooperation to realise these ends.How do you ensure global participation in the creation, relevance and use of mechanisms (technical and social) for data interchange?How can technology lower barriers to uptake - and when might it create barriers? What means can we create to overcome non-technical barriers to uptake, be they formal (such as legislation and workflows) or informal, behavioural ones?How do RDA values encourage diversity and safeguard the interests of all, rather than favouring privileged groups?How can global fora speed up research into crises such as COVID-19, climate change and bio-diversity?The plenary will highlight several research use cases around global collaboration to address grand ...

Das International Social Survey Programme (ISSP) ist ein länderübergreifendes, fortlaufendes Umfrageprogramm, das jährlich Erhebungen zu Themen durchführt, die für die Sozialwissenschaften wichtig sind. Das Programm begann 1984 mit vier Gründungsmitgliedern - Australien, Deutschland, Großbritannien und den Vereinigten Staaten - und ist inzwischen auf fast 50 Mitgliedsländer aus aller Welt angewachsen. Da die Umfragen auf Replikationen ausgelegt sind, können die Daten sowohl für länder- als auch für zeitübergreifende Vergleiche genutzt werden. Jedes ISSP-Modul konzentriert sich auf ein bestimmtes Thema, das in regelmäßigen Zeitabständen wiederholt wird. Details zur Durchführung der nationalen ISSP-Umfragen entnehmen Sie bitte der Dokumentation. Die vorliegende Studie konzentriert sich auf Fragen zu Umwelt, Klimawandel und Umweltschutz.

Das International Social Survey Programme (ISSP) ist ein länderübergreifendes, fortlaufendes Umfrageprogramm, das jährlich Erhebungen zu Themen durchführt, die für die Sozialwissenschaften wichtig sind. Das Programm begann 1984 mit vier Gründungsmitgliedern - Australien, Deutschland, Großbritannien und den Vereinigten Staaten - und ist inzwischen auf fast 50 Mitgliedsländer aus aller Welt angewachsen. Da die Umfragen auf Replikationen ausgelegt sind, können die Daten sowohl für länder- als auch für zeitübergreifende Vergleiche genutzt werden. Jedes ISSP-Modul konzentriert sich auf ein bestimmtes Thema, das in regelmäßigen Zeitabständen wiederholt wird. Details zur Durchführung der nationalen ISSP-Umfragen entnehmen Sie bitte der Dokumentation. Die vorliegende Studie konzentriert sich auf Fragen zu sozialer Ungleichheit.

Das International Social Survey Programme (ISSP) ist ein länderübergreifendes, fortlaufendes Umfrageprogramm, das jährlich Erhebungen zu Themen durchführt, die für die Sozialwissenschaften wichtig sind. Das Programm begann 1984 mit vier Gründungsmitgliedern - Australien, Deutschland, Großbritannien und den Vereinigten Staaten - und ist inzwischen auf fast 50 Mitgliedsländer aus aller Welt angewachsen. Da die Umfragen auf Replikationen ausgelegt sind, können die Daten sowohl für länder- als auch für zeitübergreifende Vergleiche genutzt werden. Jedes ISSP-Modul konzentriert sich auf ein bestimmtes Thema, das in regelmäßigen Zeitabständen wiederholt wird. Details zur Durchführung der nationalen ISSP-Umfragen entnehmen Sie bitte der Dokumentation. Die vorliegende Studie konzentriert sich auf Fragen zu sozialen Beziehungen und sozialen Netzwerken.

Das International Social Survey Programme (ISSP) ist ein länderübergreifendes, fortlaufendes Umfrageprogramm, das jährlich Erhebungen zu Themen durchführt, die für die Sozialwissenschaften wichtig sind. Das Programm begann 1984 mit vier Gründungsmitgliedern - Australien, Deutschland, Großbritannien und den Vereinigten Staaten - und ist inzwischen auf fast 50 Mitgliedsländer aus aller Welt angewachsen. Da die Umfragen auf Replikationen ausgelegt sind, können die Daten sowohl für länder- als auch für zeitübergreifende Vergleiche genutzt werden. Jedes ISSP-Modul konzentriert sich auf ein bestimmtes Thema, das in regelmäßigen Zeitabständen wiederholt wird. Details zur Durchführung der nationalen ISSP-Umfragen entnehmen Sie bitte der Dokumentation. Die vorliegende Studie konzentriert sich auf Fragen zu sozialer Ungleichheit.