Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, 2005
Archivierte qualitative Daten beinhalten einen reichen und einzigartigen, aber oft ungenutzten Fu... more Archivierte qualitative Daten beinhalten einen reichen und einzigartigen, aber oft ungenutzten Fundus an Forschungsmaterial, das reanalysiert, neu bearbeitet und mit aktuellen Daten verglichen werden kann. Diese FQS-Schwerpunktausgabe möchte einen Beitrag zur Diskussion methodologischer, ethischer und theoretischer Aspekte der Sekundärnutzung
Most data often have a much longer lifespan than the research project that creates them. Research... more Most data often have a much longer lifespan than the research project that creates them. Researchers may continue to work on data after funding has ceased, followup projects may analyse or add to the data, or data may be reused and repurposed by other researchers. If data are well managed during the course of a research project, and if they are properly preserved, curated and made accessible for the longer term, they will be able to be reused in future research. During the 1990s and early 2000s the data lifecycle was promoted as a concept to support digital preservation and data curation practices. The notion of a data lifecycle is one that has gained popularity as the culture of data sharing becomes part of our everyday research language. The data lifecycle extends the typical research cycle. Table 2.1 sets out an overview of data-related activities typically undertaken in the research data lifecycle. Activity Key features Discovery and planning Designing research Planning data management Planning consent for sharing Planning data collection, processing protocols and templates Finding and discovering existing data sources Data collection Collecting data-recording, observation, measurement, experimentation and simulation Capturing and creating metadata Acquiring existing third party data Data processing and analysis Entering data, digitizing, transcribing and translating Checking, validating, cleaning and anonymizing data where necessary Deriving data Describing and documenting data Analysing data Table 2.1 Typical activities undertaken in the research data lifecycle (Continued)
Zenodo (CERN European Organization for Nuclear Research), Feb 14, 2023
Introduction and background This document includes guidelines for the usage and best practices fo... more Introduction and background This document includes guidelines for the usage and best practices for the CESSDA Metadata Model version 3.0. The guidelines address all relevant aspects of the elements in the CESSDA Metadata Model and serve to provide recommendations and guidance for usage. This is version 3.0 of the User Guide and is the result of further development of the User Guides created in 2018, 2019 and 2020. Version 3.0 of CMM User Guide is a part of the CESSDA Metadata Portfolio, and is the output of Metadata Office working group, deliverable 13. CESSDA Metadata Management and CESSDA Metadata Office The CESSDA Metadata Model and CESSDA Metadata Model User Guide are results of CESSDA Metadata Management projects and the CESSDA Metadata Office (MDO) project.
Zenodo (CERN European Organization for Nuclear Research), Apr 20, 2022
History Version Date Reason Revised by 0.1 07/03/2022 1st draft-structure set , initial informati... more History Version Date Reason Revised by 0.1 07/03/2022 1st draft-structure set , initial information added Martina Drascic Capar 0.2 31/03/2022 2nd draft-WP updates included (
The successful development and operation of a data archive depends upon establishing a close rela... more The successful development and operation of a data archive depends upon establishing a close relationship with its users. For qualitative data archiving, this involves engaging with researchers to address the specific issues arising from the distinct characteristics of qualitative data; to develop joint solutions to the ethical challenges of data re-use; to encourage researcher up-take of the archive; and to create opportunities for collaboration in areas such as the creation of metadata and data management planning. In the case of Indigenous archives, moreover, the user community is extended to include Indigenous communities as partners in the compilation and repatriation of knowledge and data. In this session, we reflect on the process of engaging with stakeholders and respecting researcher autonomy in the operation of three qualitative data archives: the UK's Qualidata; the Australian Qualitative Archive; and the Aboriginal and Torres Strait Islander Data Archive.
A-Z Common Reference Questions for Academic Librarians, Dec 1, 2012
Research misconduct means fabrication, falsification, or plagiarism in proposing, performing, or ... more Research misconduct means fabrication, falsification, or plagiarism in proposing, performing, or reviewing research, or in reporting research results. (a) Fabrication is making up data or results and recording or reporting them. (b) Falsification is manipulating research materials, equipment, or processes, or changing or omitting data or results such that the research is not accurately represented in the research record. (c) Plagiarism is the appropriation of another person's ideas, processes, results, or words without giving appropriate credit. Research misconduct does not include honest error or differences of opinion.
The European Open Science Cloud for Research pilot project is funded by the European Commission, ... more The European Open Science Cloud for Research pilot project is funded by the European Commission, DG Research & Innovation under contract no. 739563 2 A pan-European federation of research/data infrastructures, committed to providing services as part of the EOSC and by a compliance framework including notably the Rules of Participation, will provide access to a wide range of publicly funded services supplied at national, regional and institutional levels, and to complementary commercial services. EOSCpilot: Supporting the first phase in the development of the EOSC Establish the policy environment required for the effective operation, access and use of the envisioned open and trusted EOSC to foster research and science, by lowering the barriers to interaction with the EOSC To realise an Ethical, Open, Secure and Cost-effective research environment in Europe
Zenodo (CERN European Organization for Nuclear Research), Feb 8, 2023
After three rounds of the CESSDA Mentorship Programme and with experiences from twenty mentorship... more After three rounds of the CESSDA Mentorship Programme and with experiences from twenty mentorships, it is time to evaluate the programme and see how it can be further developed. The overall conclusion is that the programme has fulfilled its purpose but could benefit from more flexibility. Experience shows that circumstances can change quickly, from delayed decisions on institutionalising to pandemics, which requires an ability to quickly adjust established plans and reallocate resources. It would also be an advantage for the programme to have a wider range of experts to choose from when appointing mentors. Until now, the programme has only been open to CESSDA partners and new members. It would benefit from being open to all CESSDA SPs, regardless of their level of maturity. More mature SPs who want to develop new services could then seek support from, and collaboration with, colleagues with more expertise in the field. The new concept of the Mentorship programme is intended to be an asset to CESSDA and all its member and partner SPs by facilitating the exchange of general and specialised expertise. To achieve that, the programme needs a solid foundation and sustainability of mentorship within CESSDA ERIC. Finally, the planning of an improved Mentorship programme and development of a new concept for sustainable funding led to the proposal of a new CESSDA SP office that will bring together various tools and services to build a data archiving service (DAS). Mentoring would benefit from being integrated into a regular CESSDA service to support Service Providers (SPs) in partner and member countries.
CERN European Organization for Nuclear Research - Zenodo, Apr 29, 2022
This white paper provides the necessary basis for understanding the requirements and specificatio... more This white paper provides the necessary basis for understanding the requirements and specifications for remote access to sensitive data (data with potentially harmful effects in the event of their disclosure) in the social sciences and the humanities (SSH). It is result of the work implemented in SSHOC Task 5.4 Remote Access to Sensitive Data. It is intended to provide guidance and recommendations to the EOSC stakeholders for future infrastructure investment for remote access to sensitive data in the SSH. To ensure that this guidance can, in fact, be implemented, the recommendations are based on the knowledge of numerous data professionals who have direct experience planning, implementing, managing, and sustaining diverse forms of remote access and secure facilities. In doing so, our goal has been to maintain the vision of expanding such infrastructure, while remaining grounded in the practicalities of operating such facilities in a sustainable manner. In this domain, it is now recognized that the ideal of "open data" needs to be balanced with privacy and other factors that can require moderating access to sensitive data, as reflected in the EU Commission's (2016) stance of "as open as possible, as closed as necessary." Developments in the past five years have advanced data access, primarily through "safe enclaves", i.e., physical rooms that provide security for data access (see Glossary). This represents a major improvement for data accessibility, but international, comparative, efficient research requires augmenting the research infrastructure by enabling remote access to data from a researcher's desktop. Solutions have operated for several years (e.g., UK Data Archive Secure Lab, ICPSR Virtual Data Enclave), but most of these still face limitations on the scope of data available, geographic limitations, etc. More recently, new infrastructures are being developed, some spanning several countries. These efforts are commendable and represent major improvements. However, limited resources, and complex legal variations (national implementations of GDPR), as well as other factors, have prevented implementation of a broader solution. As countries across Europe look at the emerging multinational infrastructures, it is crucial to address the need for a European answer, at scale, with sustainable funding. The recommendations offered here are guided by our observations that most successful infrastructures embody two features: 1) they are human as well as technical, and 2) they are neither purely centralised nor decentralised, but well-crafted hybrids.
Linking social media data with survey data is a way to combine the unique strengths and address s... more Linking social media data with survey data is a way to combine the unique strengths and address some of the respective limitations of these two data types. As such linked data can be quite disclosive and potentially sensitive, it is important that researchers obtain informed consent from the individuals whose data are being linked. When formulating appropriate informed consent, there are several things that researchers need to take into account. Besides legal and ethical questions, key aspects to consider are the differences between platforms and data types. Depending on what type of social media data is collected, how the data are collected, and from which platform(s), different points need to be addressed in the informed consent. In this paper, we present three case studies in which survey data were linked with data from 1) Twitter, 2) Facebook, and 3) LinkedIn and discuss how the specific features of the platforms and data collection methods were covered in the informed consent. ...
The purpose of this report is to provide a template for a contract for international access to co... more The purpose of this report is to provide a template for a contract for international access to confidential microdata. The template is based on an existing contract, and the commentary provides details on the scope and detail of the contract noting considerations for changes within particular local circumstances. The objective is to provide necessary information for two parties to conclude a contract which provides a legally acceptable method to provide cross-national access to confidential data. The basis is an existing contract between the Research Data Centre of the Federal Employment Agency at the Institute for Employment Research (IAB FDZ), Nuremberg, Germany, and the UK Data Service at the UK Data Archive, University of Essex. It provides an important framework for future data use agreements and serves as a generic template that can easily be adapted to other institutions planning to facilitate access to their sensitive microdata via Safe Room Remote Desktop Access. The commen...
In this paper we present a set of recommended elements (tags) that might enable the DDI to be ext... more In this paper we present a set of recommended elements (tags) that might enable the DDI to be extended to the description of the structure and content of qualitative social science data. The DDI is appropriate for describing study, file and variable level information for qualitative datasets, but TEI-like headers are also required to enable XML-based data exploration. ESDS Qualidata has identified a growing need for a standard framework (for data and content-level metadata) for facilitating the sharing, presentation and exchange of digital qualitative data via the web. To this end we have already developed a basic prototype methodology using XML standards and technologies. Recent work has focused on specifying a general and formal application for encoding, searching and retrieving the content of a broad class of social science data resources. Work in progress has been to formulate a recommended set of guidelines for preparing and marking-up data to a common and minimum recommended X...
This deliverable is the second annual report for the SSHOC project. It states the progress and st... more This deliverable is the second annual report for the SSHOC project. It states the progress and status of work in the second year of the SSHOC project (M12-M24).<br> The report starts with a general plan for the SSHOC project in Year 2 (2020), and lists the main objectives set up to be achieved. The next section is the main part of this deliverable and focuses on the activities implemented in each Work Package, and describes the progress done in 2020. The section also contains a reference to the deviations from the DoA that happened in this period, and risk assessment status.<br> The final chapter contains the summary on the delivery of project outputs (namely deliverables), achievement of project milestones, and the use of resources. An overview of all the SSHOC 2020 relevant events is added to the document as an appendix.
Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, 2005
Archivierte qualitative Daten beinhalten einen reichen und einzigartigen, aber oft ungenutzten Fu... more Archivierte qualitative Daten beinhalten einen reichen und einzigartigen, aber oft ungenutzten Fundus an Forschungsmaterial, das reanalysiert, neu bearbeitet und mit aktuellen Daten verglichen werden kann. Diese FQS-Schwerpunktausgabe möchte einen Beitrag zur Diskussion methodologischer, ethischer und theoretischer Aspekte der Sekundärnutzung
Most data often have a much longer lifespan than the research project that creates them. Research... more Most data often have a much longer lifespan than the research project that creates them. Researchers may continue to work on data after funding has ceased, followup projects may analyse or add to the data, or data may be reused and repurposed by other researchers. If data are well managed during the course of a research project, and if they are properly preserved, curated and made accessible for the longer term, they will be able to be reused in future research. During the 1990s and early 2000s the data lifecycle was promoted as a concept to support digital preservation and data curation practices. The notion of a data lifecycle is one that has gained popularity as the culture of data sharing becomes part of our everyday research language. The data lifecycle extends the typical research cycle. Table 2.1 sets out an overview of data-related activities typically undertaken in the research data lifecycle. Activity Key features Discovery and planning Designing research Planning data management Planning consent for sharing Planning data collection, processing protocols and templates Finding and discovering existing data sources Data collection Collecting data-recording, observation, measurement, experimentation and simulation Capturing and creating metadata Acquiring existing third party data Data processing and analysis Entering data, digitizing, transcribing and translating Checking, validating, cleaning and anonymizing data where necessary Deriving data Describing and documenting data Analysing data Table 2.1 Typical activities undertaken in the research data lifecycle (Continued)
Zenodo (CERN European Organization for Nuclear Research), Feb 14, 2023
Introduction and background This document includes guidelines for the usage and best practices fo... more Introduction and background This document includes guidelines for the usage and best practices for the CESSDA Metadata Model version 3.0. The guidelines address all relevant aspects of the elements in the CESSDA Metadata Model and serve to provide recommendations and guidance for usage. This is version 3.0 of the User Guide and is the result of further development of the User Guides created in 2018, 2019 and 2020. Version 3.0 of CMM User Guide is a part of the CESSDA Metadata Portfolio, and is the output of Metadata Office working group, deliverable 13. CESSDA Metadata Management and CESSDA Metadata Office The CESSDA Metadata Model and CESSDA Metadata Model User Guide are results of CESSDA Metadata Management projects and the CESSDA Metadata Office (MDO) project.
Zenodo (CERN European Organization for Nuclear Research), Apr 20, 2022
History Version Date Reason Revised by 0.1 07/03/2022 1st draft-structure set , initial informati... more History Version Date Reason Revised by 0.1 07/03/2022 1st draft-structure set , initial information added Martina Drascic Capar 0.2 31/03/2022 2nd draft-WP updates included (
The successful development and operation of a data archive depends upon establishing a close rela... more The successful development and operation of a data archive depends upon establishing a close relationship with its users. For qualitative data archiving, this involves engaging with researchers to address the specific issues arising from the distinct characteristics of qualitative data; to develop joint solutions to the ethical challenges of data re-use; to encourage researcher up-take of the archive; and to create opportunities for collaboration in areas such as the creation of metadata and data management planning. In the case of Indigenous archives, moreover, the user community is extended to include Indigenous communities as partners in the compilation and repatriation of knowledge and data. In this session, we reflect on the process of engaging with stakeholders and respecting researcher autonomy in the operation of three qualitative data archives: the UK's Qualidata; the Australian Qualitative Archive; and the Aboriginal and Torres Strait Islander Data Archive.
A-Z Common Reference Questions for Academic Librarians, Dec 1, 2012
Research misconduct means fabrication, falsification, or plagiarism in proposing, performing, or ... more Research misconduct means fabrication, falsification, or plagiarism in proposing, performing, or reviewing research, or in reporting research results. (a) Fabrication is making up data or results and recording or reporting them. (b) Falsification is manipulating research materials, equipment, or processes, or changing or omitting data or results such that the research is not accurately represented in the research record. (c) Plagiarism is the appropriation of another person's ideas, processes, results, or words without giving appropriate credit. Research misconduct does not include honest error or differences of opinion.
The European Open Science Cloud for Research pilot project is funded by the European Commission, ... more The European Open Science Cloud for Research pilot project is funded by the European Commission, DG Research & Innovation under contract no. 739563 2 A pan-European federation of research/data infrastructures, committed to providing services as part of the EOSC and by a compliance framework including notably the Rules of Participation, will provide access to a wide range of publicly funded services supplied at national, regional and institutional levels, and to complementary commercial services. EOSCpilot: Supporting the first phase in the development of the EOSC Establish the policy environment required for the effective operation, access and use of the envisioned open and trusted EOSC to foster research and science, by lowering the barriers to interaction with the EOSC To realise an Ethical, Open, Secure and Cost-effective research environment in Europe
Zenodo (CERN European Organization for Nuclear Research), Feb 8, 2023
After three rounds of the CESSDA Mentorship Programme and with experiences from twenty mentorship... more After three rounds of the CESSDA Mentorship Programme and with experiences from twenty mentorships, it is time to evaluate the programme and see how it can be further developed. The overall conclusion is that the programme has fulfilled its purpose but could benefit from more flexibility. Experience shows that circumstances can change quickly, from delayed decisions on institutionalising to pandemics, which requires an ability to quickly adjust established plans and reallocate resources. It would also be an advantage for the programme to have a wider range of experts to choose from when appointing mentors. Until now, the programme has only been open to CESSDA partners and new members. It would benefit from being open to all CESSDA SPs, regardless of their level of maturity. More mature SPs who want to develop new services could then seek support from, and collaboration with, colleagues with more expertise in the field. The new concept of the Mentorship programme is intended to be an asset to CESSDA and all its member and partner SPs by facilitating the exchange of general and specialised expertise. To achieve that, the programme needs a solid foundation and sustainability of mentorship within CESSDA ERIC. Finally, the planning of an improved Mentorship programme and development of a new concept for sustainable funding led to the proposal of a new CESSDA SP office that will bring together various tools and services to build a data archiving service (DAS). Mentoring would benefit from being integrated into a regular CESSDA service to support Service Providers (SPs) in partner and member countries.
CERN European Organization for Nuclear Research - Zenodo, Apr 29, 2022
This white paper provides the necessary basis for understanding the requirements and specificatio... more This white paper provides the necessary basis for understanding the requirements and specifications for remote access to sensitive data (data with potentially harmful effects in the event of their disclosure) in the social sciences and the humanities (SSH). It is result of the work implemented in SSHOC Task 5.4 Remote Access to Sensitive Data. It is intended to provide guidance and recommendations to the EOSC stakeholders for future infrastructure investment for remote access to sensitive data in the SSH. To ensure that this guidance can, in fact, be implemented, the recommendations are based on the knowledge of numerous data professionals who have direct experience planning, implementing, managing, and sustaining diverse forms of remote access and secure facilities. In doing so, our goal has been to maintain the vision of expanding such infrastructure, while remaining grounded in the practicalities of operating such facilities in a sustainable manner. In this domain, it is now recognized that the ideal of "open data" needs to be balanced with privacy and other factors that can require moderating access to sensitive data, as reflected in the EU Commission's (2016) stance of "as open as possible, as closed as necessary." Developments in the past five years have advanced data access, primarily through "safe enclaves", i.e., physical rooms that provide security for data access (see Glossary). This represents a major improvement for data accessibility, but international, comparative, efficient research requires augmenting the research infrastructure by enabling remote access to data from a researcher's desktop. Solutions have operated for several years (e.g., UK Data Archive Secure Lab, ICPSR Virtual Data Enclave), but most of these still face limitations on the scope of data available, geographic limitations, etc. More recently, new infrastructures are being developed, some spanning several countries. These efforts are commendable and represent major improvements. However, limited resources, and complex legal variations (national implementations of GDPR), as well as other factors, have prevented implementation of a broader solution. As countries across Europe look at the emerging multinational infrastructures, it is crucial to address the need for a European answer, at scale, with sustainable funding. The recommendations offered here are guided by our observations that most successful infrastructures embody two features: 1) they are human as well as technical, and 2) they are neither purely centralised nor decentralised, but well-crafted hybrids.
Linking social media data with survey data is a way to combine the unique strengths and address s... more Linking social media data with survey data is a way to combine the unique strengths and address some of the respective limitations of these two data types. As such linked data can be quite disclosive and potentially sensitive, it is important that researchers obtain informed consent from the individuals whose data are being linked. When formulating appropriate informed consent, there are several things that researchers need to take into account. Besides legal and ethical questions, key aspects to consider are the differences between platforms and data types. Depending on what type of social media data is collected, how the data are collected, and from which platform(s), different points need to be addressed in the informed consent. In this paper, we present three case studies in which survey data were linked with data from 1) Twitter, 2) Facebook, and 3) LinkedIn and discuss how the specific features of the platforms and data collection methods were covered in the informed consent. ...
The purpose of this report is to provide a template for a contract for international access to co... more The purpose of this report is to provide a template for a contract for international access to confidential microdata. The template is based on an existing contract, and the commentary provides details on the scope and detail of the contract noting considerations for changes within particular local circumstances. The objective is to provide necessary information for two parties to conclude a contract which provides a legally acceptable method to provide cross-national access to confidential data. The basis is an existing contract between the Research Data Centre of the Federal Employment Agency at the Institute for Employment Research (IAB FDZ), Nuremberg, Germany, and the UK Data Service at the UK Data Archive, University of Essex. It provides an important framework for future data use agreements and serves as a generic template that can easily be adapted to other institutions planning to facilitate access to their sensitive microdata via Safe Room Remote Desktop Access. The commen...
In this paper we present a set of recommended elements (tags) that might enable the DDI to be ext... more In this paper we present a set of recommended elements (tags) that might enable the DDI to be extended to the description of the structure and content of qualitative social science data. The DDI is appropriate for describing study, file and variable level information for qualitative datasets, but TEI-like headers are also required to enable XML-based data exploration. ESDS Qualidata has identified a growing need for a standard framework (for data and content-level metadata) for facilitating the sharing, presentation and exchange of digital qualitative data via the web. To this end we have already developed a basic prototype methodology using XML standards and technologies. Recent work has focused on specifying a general and formal application for encoding, searching and retrieving the content of a broad class of social science data resources. Work in progress has been to formulate a recommended set of guidelines for preparing and marking-up data to a common and minimum recommended X...
This deliverable is the second annual report for the SSHOC project. It states the progress and st... more This deliverable is the second annual report for the SSHOC project. It states the progress and status of work in the second year of the SSHOC project (M12-M24).<br> The report starts with a general plan for the SSHOC project in Year 2 (2020), and lists the main objectives set up to be achieved. The next section is the main part of this deliverable and focuses on the activities implemented in each Work Package, and describes the progress done in 2020. The section also contains a reference to the deviations from the DoA that happened in this period, and risk assessment status.<br> The final chapter contains the summary on the delivery of project outputs (namely deliverables), achievement of project milestones, and the use of resources. An overview of all the SSHOC 2020 relevant events is added to the document as an appendix.
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