The Ottawa-Gatineau National Capital Region (Canada) has a well developed and well used cycling network of over 1,000 km which spans both sides of the Ontario and Quebec provincial boundary. The purpose of this study is to map out the complex data landscape behind the cycling infrastructure in the National Capital Region (NCR), which is largely based on inter-jurisdictional cooperation and partnerships with cycling advocacy groups. The questions we try to answer are: What data are collected for cycling infrastructure and activities? Who are the data producers and stakeholders? What are the relationships amongst the various data producers and stakeholders? The study reveals that the complexity of the cycling data landscape in the NCR is due to the complexity of the relationships between the various data producers and stakeholders.
{"title":"Cycling infrastructure in the Ottawa-Gatineau area: a complex assemblage of data","authors":"Sylvie Lafortune, Joël Rivard","doi":"10.29173/IQ937","DOIUrl":"https://doi.org/10.29173/IQ937","url":null,"abstract":"The Ottawa-Gatineau National Capital Region (Canada) has a well developed and well used cycling network of over 1,000 km which spans both sides of the Ontario and Quebec provincial boundary. The purpose of this study is to map out the complex data landscape behind the cycling infrastructure in the National Capital Region (NCR), which is largely based on inter-jurisdictional cooperation and partnerships with cycling advocacy groups. The questions we try to answer are: What data are collected for cycling infrastructure and activities? Who are the data producers and stakeholders? What are the relationships amongst the various data producers and stakeholders? The study reveals that the complexity of the cycling data landscape in the NCR is due to the complexity of the relationships between the various data producers and stakeholders.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47893861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article reports the results of a survey conducted between 18th November and 18th December 2017 about different aspects of data sharing: tools used in building metadata, problems encountered in order to share the data, the propensity to share the data, the satisfaction obtained over different working tasks. After a short description of the data gathering task, the report describes the sample, the univariate distribution of the most important variables related to the work of data archiving and the attitudes concerning the data sharing activity: problems encountered, propensity to share the data, satisfaction obtained. Part of the report illustrates models suitable for interpreting the results and finally gives some advice for promoting data services. Some international comparisons of the results are proposed in the annex.
{"title":"Differences in Data Sharing Attitudes and Behaviours","authors":"F. Bonifacio","doi":"10.29173/iq912","DOIUrl":"https://doi.org/10.29173/iq912","url":null,"abstract":"This article reports the results of a survey conducted between 18th November and 18th December 2017 about different aspects of data sharing: tools used in building metadata, problems encountered in order to share the data, the propensity to share the data, the satisfaction obtained over different working tasks. After a short description of the data gathering task, the report describes the sample, the univariate distribution of the most important variables related to the work of data archiving and the attitudes concerning the data sharing activity: problems encountered, propensity to share the data, satisfaction obtained. Part of the report illustrates models suitable for interpreting the results and finally gives some advice for promoting data services. Some international comparisons of the results are proposed in the annex.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44884028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digital technologies have allowed libraries to create, manipulate, store and make accessible vast amounts of digital content. However, they endanger the longevity of the very objects they produce and require very different management than the traditional paper-based world. Despite the fact that the National University of Science and Technology (NUST) Library in Zimbabwe has amassed a huge body of digital collections, there are no formal mechanisms to ensure accessibility and long-term preservation of digital content. The study assessed the state of preparedness of NUST Library for digital curation and preservation of its digital collections. The conceptual framework was based on Sinclair et al. (2011) and Boyle, Eveleigh, and Needham’s (2008) formulations. NUST Library preparedness for digital curation and preservation was assessed by examining awareness, competencies, technology infrastructure, digital disaster preparedness and challenges to digital curation and preservation. A mixed methods research design employing a case study research strategy was adopted for the study. The findings revealed a low level of awareness of digital curation and preservation. Challenges to digital curation are mainly lack of policies, lack of expertise by library staff and lack of funding. It is recommended that the Library should consider digital curation and preservation as one of the primary responsibilities and take staff members’ training in this area seriously in order to ensure current and future access to digital collections.
{"title":"The State of Preparedness for Digital Curation and Preservation: A Case Study of a Developing Country Academic Library","authors":"Phillip Ndhlovu","doi":"10.29173/IQ929","DOIUrl":"https://doi.org/10.29173/IQ929","url":null,"abstract":"Digital technologies have allowed libraries to create, manipulate, store and make accessible vast amounts of digital content. However, they endanger the longevity of the very objects they produce and require very different management than the traditional paper-based world. Despite the fact that the National University of Science and Technology (NUST) Library in Zimbabwe has amassed a huge body of digital collections, there are no formal mechanisms to ensure accessibility and long-term preservation of digital content. The study assessed the state of preparedness of NUST Library for digital curation and preservation of its digital collections. The conceptual framework was based on Sinclair et al. (2011) and Boyle, Eveleigh, and Needham’s (2008) formulations. NUST Library preparedness for digital curation and preservation was assessed by examining awareness, competencies, technology infrastructure, digital disaster preparedness and challenges to digital curation and preservation. A mixed methods research design employing a case study research strategy was adopted for the study. The findings revealed a low level of awareness of digital curation and preservation. Challenges to digital curation are mainly lack of policies, lack of expertise by library staff and lack of funding. It is recommended that the Library should consider digital curation and preservation as one of the primary responsibilities and take staff members’ training in this area seriously in order to ensure current and future access to digital collections.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42118346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With paper map use in decline, one of the strategies that libraries and archives can adopt to make the information contained within them more accessible and usable is to extract features of interest from their scanned raster maps and convert those to geospatial vector data. This process adds valuable unique data to library geospatial collections and enables those previously map-bound features to be used separately in geographic information systems (GIS) software for custom mapping and analysis. Advances in partially automating most of the process have made this a much more viable option for libraries and archives. Although there is no one-size-fits-all automated solution for all maps and map features, this paper provides a complete description of the entire process incorporating examples of the various techniques and software used in selected studies that would be applicable in the library and archive environment.
{"title":"From Paper Map to Geospatial Vector Layer","authors":"P. Peller","doi":"10.29173/IQ914","DOIUrl":"https://doi.org/10.29173/IQ914","url":null,"abstract":"With paper map use in decline, one of the strategies that libraries and archives can adopt to make the information contained within them more accessible and usable is to extract features of interest from their scanned raster maps and convert those to geospatial vector data. This process adds valuable unique data to library geospatial collections and enables those previously map-bound features to be used separately in geographic information systems (GIS) software for custom mapping and analysis. Advances in partially automating most of the process have made this a much more viable option for libraries and archives. Although there is no one-size-fits-all automated solution for all maps and map features, this paper provides a complete description of the entire process incorporating examples of the various techniques and software used in selected studies that would be applicable in the library and archive environment.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48319400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Welcome to the third issue of volume 42 of the IASSIST Quarterly (IQ 42:3, 2018). The IASSIST Quarterly presents in this issue three papers from geographically widespread countries. We call IASSIST ‘International’, so I am happy to present papers from three continents in this issue with papers from Zimbabwe, Italy and Canada. The paper 'The State of Preparedness for Digital Curation and Preservation: A Case Study of a Developing Country Academic Library' is by Phillip Ndhlovu, who works as the institutional repository librarian and liaison librarian, and Thomas Matingwina, who is a lecturer at the Department of Library and Information Service at the National University of Science and Technology (NUST) in Bulawayo, Zimbabwe. Modern day libraries have vast amounts of digital content and the authors noted that because these collections require very different management than the traditional paper-based materials, the new materials’ longevity is endangered. Their study assessed the state of preparedness of the NUST Library for digital curation and preservation, including the assessment of awareness, competencies, technology infrastructure, digital disaster preparedness, and challenges to digital curation and preservation. They found a lack of policies, lack of expertise by library staff, and lack of funding. You might conclude that investigating your own organization and reaching the very well known conclusion that 'we need more money!' is not so surprising. However, you have to take note that the Jeff Rothenberg statement from 1995 that 'Digital information lasts forever – or five years, whichever comes first' has not yet sunk in with politicians and administrators, who will immediately associate the term 'digital' with 'saving money'. This study shows them why this is not a valid connotation. It is a study of a single institution, and as the authors note it cannot be generalized even to other academic libraries in Zimbabwe. However, other libraries - also outside Zimbabwe - have here a good guide for making their own assessment of the digital preparedness of their institution. The second paper was - as was the paper above - presented at the IASSIST conference in 2018 and is also about the transition from media known for thousands of years to new media and digital forms. Peter Peller presented the paper 'From Paper Map to Geospatial Vector Layer: Demystifying the Process'. He is the Director of the Spatial and Numeric Data Services unit at Libraries and Cultural Resources at the University of Calgary in Canada. The conversion of raster images of maps to vector data is analogous to OCR technologies extracting words from scanned print documents. Thereby the map information becomes more accessible, and usable in geographic information systems (GIS). An illustrative example is that historical geospatial information can be overlaid in Google Earth. The description of the entire process incorporates examples of the various techniques, including diff
{"title":"Digital curation after digital extraction for data sharing","authors":"K. Rasmussen","doi":"10.29173/IQ944","DOIUrl":"https://doi.org/10.29173/IQ944","url":null,"abstract":"Welcome to the third issue of volume 42 of the IASSIST Quarterly (IQ 42:3, 2018). \u0000The IASSIST Quarterly presents in this issue three papers from geographically widespread countries. We call IASSIST ‘International’, so I am happy to present papers from three continents in this issue with papers from Zimbabwe, Italy and Canada. \u0000The paper 'The State of Preparedness for Digital Curation and Preservation: A Case Study of a Developing Country Academic Library' is by Phillip Ndhlovu, who works as the institutional repository librarian and liaison librarian, and Thomas Matingwina, who is a lecturer at the Department of Library and Information Service at the National University of Science and Technology (NUST) in Bulawayo, Zimbabwe. Modern day libraries have vast amounts of digital content and the authors noted that because these collections require very different management than the traditional paper-based materials, the new materials’ longevity is endangered. Their study assessed the state of preparedness of the NUST Library for digital curation and preservation, including the assessment of awareness, competencies, technology infrastructure, digital disaster preparedness, and challenges to digital curation and preservation. They found a lack of policies, lack of expertise by library staff, and lack of funding. \u0000You might conclude that investigating your own organization and reaching the very well known conclusion that 'we need more money!' is not so surprising. However, you have to take note that the Jeff Rothenberg statement from 1995 that 'Digital information lasts forever – or five years, whichever comes first' has not yet sunk in with politicians and administrators, who will immediately associate the term 'digital' with 'saving money'. This study shows them why this is not a valid connotation. It is a study of a single institution, and as the authors note it cannot be generalized even to other academic libraries in Zimbabwe. However, other libraries - also outside Zimbabwe - have here a good guide for making their own assessment of the digital preparedness of their institution. \u0000The second paper was - as was the paper above - presented at the IASSIST conference in 2018 and is also about the transition from media known for thousands of years to new media and digital forms. Peter Peller presented the paper 'From Paper Map to Geospatial Vector Layer: Demystifying the Process'. He is the Director of the Spatial and Numeric Data Services unit at Libraries and Cultural Resources at the University of Calgary in Canada. \u0000The conversion of raster images of maps to vector data is analogous to OCR technologies extracting words from scanned print documents. Thereby the map information becomes more accessible, and usable in geographic information systems (GIS). An illustrative example is that historical geospatial information can be overlaid in Google Earth. The description of the entire process incorporates examples of the various techniques, including diff","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48075300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oliver Hopt, Claus-Peter Klas, Alexander Mühlbauer
The current usage of DDI is heterogeneous. It varies over different versions of DDI, different grouping, and unequal interpretation of elements. Therefore, provider of services based on DDI implement complex database models for each developed application, resulting in high costs and application specific and non-reusable models. This paper shows a way to model the binding of DDI to applications in a way that it works independent of most version changes and interpretative differences in a standard like DDI without continuous reimplementation. Based on our DDI-FlatDB approach, shown first at EDDI 2015 & 2016, we present a complete implementation along the use case of a web-based questionnaire editor including sustainable solution for version management and efficient handling of large DDI structures. The user interface is adaptable to different usage scenarios to come. The application supports DDI-Lifecycle from the first question draft and hands over structured (meta-) data to survey institutes and data archives and supports the collaborative questionnaire development for the Pre-election Cross-Section of the German Longitudinal Election Study from early 2017 on.
{"title":"Flexible DDI storage","authors":"Oliver Hopt, Claus-Peter Klas, Alexander Mühlbauer","doi":"10.29173/iq923","DOIUrl":"https://doi.org/10.29173/iq923","url":null,"abstract":"The current usage of DDI is heterogeneous. It varies over different versions of DDI, different grouping, and unequal interpretation of elements. Therefore, provider of services based on DDI implement complex database models for each developed application, resulting in high costs and application specific and non-reusable models. \u0000This paper shows a way to model the binding of DDI to applications in a way that it works independent of most version changes and interpretative differences in a standard like DDI without continuous reimplementation. Based on our DDI-FlatDB approach, shown first at EDDI 2015 & 2016, we present a complete implementation along the use case of a web-based questionnaire editor including sustainable solution for version management and efficient handling of large DDI structures. The user interface is adaptable to different usage scenarios to come. The application supports DDI-Lifecycle from the first question draft and hands over structured (meta-) data to survey institutes and data archives and supports the collaborative questionnaire development for the Pre-election Cross-Section of the German Longitudinal Election Study from early 2017 on.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43781653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Belgium has recently decided to integrate the Consortium of European Social Science Data Archives (CESSDA). The Social Sciences Data Archive (SODA) project aims at tackling the different challenges entailed by the setting up of a new research infrastructure in the form of a data archive. The SODA project involves an archival institution, the State Archives of Belgium, which, like most other large archival repositories around the world, work with Encoded Archival Description (EAD) for managing their metadata. There exists at the State Archives a large pipeline of programs and procedures that processes EAD documents and channels their content through different applications, such as the online catalog of the institution. Because there is a chance that the future Belgian data archive will be part of the State Archives and because DDI is the most widespread metadata standard in the social sciences as well as a requirement for joining CESSDA, the State Archives have developed a DDI-to-EAD crosswalk in order to re-use the State Archives' infrastructure for the needs of the future Belgian service provider. Technical illustrations highlight the conceptual differences between DDI and EAD and how these can be reconciled or escaped for the purpose of a data archive for the social sciences.
{"title":"Elaborating a Crosswalk Between Data Documentation Initiative (DDI) and Encoded Archival Description (EAD) for an Emerging Data Archive Service Provider","authors":"Benjamin Peuch","doi":"10.29173/IQ924","DOIUrl":"https://doi.org/10.29173/IQ924","url":null,"abstract":"Belgium has recently decided to integrate the Consortium of European Social Science Data Archives (CESSDA). The Social Sciences Data Archive (SODA) project aims at tackling the different challenges entailed by the setting up of a new research infrastructure in the form of a data archive. The SODA project involves an archival institution, the State Archives of Belgium, which, like most other large archival repositories around the world, work with Encoded Archival Description (EAD) for managing their metadata. There exists at the State Archives a large pipeline of programs and procedures that processes EAD documents and channels their content through different applications, such as the online catalog of the institution. Because there is a chance that the future Belgian data archive will be part of the State Archives and because DDI is the most widespread metadata standard in the social sciences as well as a requirement for joining CESSDA, the State Archives have developed a DDI-to-EAD crosswalk in order to re-use the State Archives' infrastructure for the needs of the future Belgian service provider. Technical illustrations highlight the conceptual differences between DDI and EAD and how these can be reconciled or escaped for the purpose of a data archive for the social sciences.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46365365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Metadata is key - the most important data after data","authors":"K. Rasmussen","doi":"10.29173/IQ922","DOIUrl":"https://doi.org/10.29173/IQ922","url":null,"abstract":"","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45049663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cristina Ribeiro, J. Silva, João Aguiar Castro, R. C. Amorim, J. C. Lopes, G. David
Research datasets include all kinds of objects, from web pages to sensor data, and originate in every domain. Concerns with data generated in large projects and well-funded research areas are centered on their exploration and analysis. For data in the long tail, the main issues are still how to get data visible, satisfactorily described, preserved, and searchable. Our work aims to promote data publication in research institutions, considering that researchers are the core stakeholders and need straightforward workflows, and that multi-disciplinary tools can be designed and adapted to specific areas with a reasonable effort. For small groups with interesting datasets but not much time or funding for data curation, we have to focus on engaging researchers in the process of preparing data for publication, while providing them with measurable outputs. In larger groups, solutions have to be customized to satisfy the requirements of more specific research contexts. We describe our experience at the University of Porto in two lines of enquiry. For the work with long-tail groups we propose general-purpose tools for data description and the interface to multi-disciplinary data repositories. For areas with larger projects and more specific requirements, namely wind infrastructure, sensor data from concrete structures and marine data, we define specialized workflows. In both cases, we present a preliminary evaluation of results and an estimate of the kind of effort required to keep the proposed infrastructures running. The tools available to researchers can be decisive for their commitment. We focus on data preparation, namely on dataset organization and metadata creation. For groups in the long tail, we propose Dendro, an open-source research data management platform, and explore automatic metadata creation with LabTablet, an electronic laboratory notebook. For groups demanding a domain-specific approach, our analysis has resulted in the development of models and applications to organize the data and support some of their use cases. Overall, we have adopted ontologies for metadata modeling, keeping in sight metadata dissemination as Linked Open Data.
{"title":"Research Data Management Tools and Workflows: Experimental Work at the University of Porto","authors":"Cristina Ribeiro, J. Silva, João Aguiar Castro, R. C. Amorim, J. C. Lopes, G. David","doi":"10.29173/IQ925","DOIUrl":"https://doi.org/10.29173/IQ925","url":null,"abstract":"Research datasets include all kinds of objects, from web pages to sensor data, and originate in every domain. Concerns with data generated in large projects and well-funded research areas are centered on their exploration and analysis. For data in the long tail, the main issues are still how to get data visible, satisfactorily described, preserved, and searchable. \u0000Our work aims to promote data publication in research institutions, considering that researchers are the core stakeholders and need straightforward workflows, and that multi-disciplinary tools can be designed and adapted to specific areas with a reasonable effort. For small groups with interesting datasets but not much time or funding for data curation, we have to focus on engaging researchers in the process of preparing data for publication, while providing them with measurable outputs. In larger groups, solutions have to be customized to satisfy the requirements of more specific research contexts. \u0000We describe our experience at the University of Porto in two lines of enquiry. For the work with long-tail groups we propose general-purpose tools for data description and the interface to multi-disciplinary data repositories. For areas with larger projects and more specific requirements, namely wind infrastructure, sensor data from concrete structures and marine data, we define specialized workflows. In both cases, we present a preliminary evaluation of results and an estimate of the kind of effort required to keep the proposed infrastructures running. \u0000The tools available to researchers can be decisive for their commitment. We focus on data preparation, namely on dataset organization and metadata creation. For groups in the long tail, we propose Dendro, an open-source research data management platform, and explore automatic metadata creation with LabTablet, an electronic laboratory notebook. For groups demanding a domain-specific approach, our analysis has resulted in the development of models and applications to organize the data and support some of their use cases. Overall, we have adopted ontologies for metadata modeling, keeping in sight metadata dissemination as Linked Open Data.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42040814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-05-24Epub Date: 2017-12-12DOI: 10.29173/iq19
Amy M Pienta, Jared Lyle
In 2010, ICPSR began a long process of recovering data from Gordon Streib's Cornell Study of Occupational Retirement (CSOR). Because these unique data fill a gap in our understanding of US retirement history, we determined that an extensive data recovery project was warranted. This paper describes the scope of the data collection and the steps in ICPSR's recovery process. Though the data recovery was ultimately successful, this paper documents the amount of time invested and costs associated with this kind of recovery work. It also highlights the value of these data for future research in understanding gender and retirement in a historic context. In addition to the resulting publicly available data arising from this project, extensive paper medical records are housed at ICPSR for on-site analysis or for a future digitization project. These data would provide unique health information on older women and men traced over a period of time in the 1950s and represents future work for ICPSR to undertake.
{"title":"Retirement in the 1950s: Rebuilding a Longitudinal Research Database.","authors":"Amy M Pienta, Jared Lyle","doi":"10.29173/iq19","DOIUrl":"https://doi.org/10.29173/iq19","url":null,"abstract":"<p><p>In 2010, ICPSR began a long process of recovering data from Gordon Streib's Cornell Study of Occupational Retirement (CSOR). Because these unique data fill a gap in our understanding of US retirement history, we determined that an extensive data recovery project was warranted. This paper describes the scope of the data collection and the steps in ICPSR's recovery process. Though the data recovery was ultimately successful, this paper documents the amount of time invested and costs associated with this kind of recovery work. It also highlights the value of these data for future research in understanding gender and retirement in a historic context. In addition to the resulting publicly available data arising from this project, extensive paper medical records are housed at ICPSR for on-site analysis or for a future digitization project. These data would provide unique health information on older women and men traced over a period of time in the 1950s and represents future work for ICPSR to undertake.</p>","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404736/pdf/nihms971340.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37042296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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