Jessica Mozersky, Heidi Walsh, Meredith Parsons, Tristan McIntosh, Kari Baldwin, James M DuBois
Data sharing maximizes the value of data, which is time and resource intensive to collect. Major funding bodies in the United States (US), like the National Institutes of Health (NIH), require data sharing and researchers frequently share de-identified quantitative data. In contrast, qualitative data are rarely shared in the US but the increasing trend towards data sharing and open science suggest this may be required in future. Qualitative methods are often used to explore sensitive health topics raising unique ethical challenges regarding protecting confidentiality while maintaining enough contextual detail for secondary analyses. Here, we report findings from semi-structured in-depth interviews with 30 data repository curators, 30 qualitative researchers, and 30 IRB staff members to explore their experience and knowledge of QDS. Our findings indicate that all stakeholder groups lack preparedness for QDS. Researchers are the least knowledgeable and are often unfamiliar with the concept of sharing qualitative data in a repository. Curators are highly supportive of QDS, but not all have experienced curating qualitative data sets and indicated they would like guidance and standards specific to QDS. IRB members lack familiarity with QDS although they support it as long as proper legal and regulatory procedures are followed. IRB members and data curators are not prepared to advise researchers on legal and regulatory matters, potentially leaving researchers who have the least knowledge with no guidance. Ethical and productive QDS will require overcoming barriers, creating standards, and changing long held practices among all stakeholder groups.
{"title":"Are we ready to share qualitative research data? Knowledge and preparedness among qualitative researchers, IRB Members, and data repository curators.","authors":"Jessica Mozersky, Heidi Walsh, Meredith Parsons, Tristan McIntosh, Kari Baldwin, James M DuBois","doi":"10.29173/iq952","DOIUrl":"10.29173/iq952","url":null,"abstract":"<p><p>Data sharing maximizes the value of data, which is time and resource intensive to collect. Major funding bodies in the United States (US), like the National Institutes of Health (NIH), require data sharing and researchers frequently share de-identified quantitative data. In contrast, qualitative data are rarely shared in the US but the increasing trend towards data sharing and open science suggest this may be required in future. Qualitative methods are often used to explore sensitive health topics raising unique ethical challenges regarding protecting confidentiality while maintaining enough contextual detail for secondary analyses. Here, we report findings from semi-structured in-depth interviews with 30 data repository curators, 30 qualitative researchers, and 30 IRB staff members to explore their experience and knowledge of QDS. Our findings indicate that all stakeholder groups lack preparedness for QDS. Researchers are the least knowledgeable and are often unfamiliar with the concept of sharing qualitative data in a repository. Curators are highly supportive of QDS, but not all have experienced curating qualitative data sets and indicated they would like guidance and standards specific to QDS. IRB members lack familiarity with QDS although they support it as long as proper legal and regulatory procedures are followed. IRB members and data curators are not prepared to advise researchers on legal and regulatory matters, potentially leaving researchers who have the least knowledge with no guidance. Ethical and productive QDS will require overcoming barriers, creating standards, and changing long held practices among all stakeholder groups.</p>","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":"43 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089584/pdf/nihms-1574365.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37766677","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}
A system for monitoring the current situation of Data Archive Services (DAS) maturity in European countries was developed during the CESSDA Strengthening and Widening in (SaW 2016 and 2017) and further adapted in CESSDA Widening Activities 2018 (WA 2018) projects for continuous monitoring. An assessment of the existing national data sharing culture, the development of the social science sector and its production of high-quality research data, the funders’ research data policy requirements, and the capacity and skills of national grassroots initiatives, provide a framework for understanding the current situation in different countries. Methods used in the projects, included desk research of existing documents and a survey, combined with extensive interviews focused on the area of expertise of the informants (individuals from data services, research and decision makers’ representatives from each country). The focus of the paper is the situation in 20 non-member CESSDA European countries with emerging and immature DAS initiatives. Results show that countries are slowly but persistently removing the key obstacles in establishing a DAS initiative in their respective countries. The remaining obstacles reside mainly outside the control of the data professional community – namely research funders slowly adopt data sharing policies and incentives for data sharing, including the provision of a sustainable DAS infrastructure, capable of supporting researchers with publishing and accessing research data. The results show that the lack of expertise and skills of DAS initiatives, their understanding of tools and services or organizational settings are not such an issue, as more mature DAS are organising training and mentorship activities. Detailed guidance in the DAS advocacy and planning was prepared in the framework of the above-mentioned pan-European and some past regional projects. The tools and framework of those activities will be referred to in the discussions as a resource that can be used in other countries and continents.
{"title":"Examining barriers for establishing a national data service","authors":"J. Stebe","doi":"10.29173/iq960","DOIUrl":"https://doi.org/10.29173/iq960","url":null,"abstract":"A system for monitoring the current situation of Data Archive Services (DAS) maturity in European countries was developed during the CESSDA Strengthening and Widening in (SaW 2016 and 2017) and further adapted in CESSDA Widening Activities 2018 (WA 2018) projects for continuous monitoring. An assessment of the existing national data sharing culture, the development of the social science sector and its production of high-quality research data, the funders’ research data policy requirements, and the capacity and skills of national grassroots initiatives, provide a framework for understanding the current situation in different countries. Methods used in the projects, included desk research of existing documents and a survey, combined with extensive interviews focused on the area of expertise of the informants (individuals from data services, research and decision makers’ representatives from each country). The focus of the paper is the situation in 20 non-member CESSDA European countries with emerging and immature DAS initiatives. Results show that countries are slowly but persistently removing the key obstacles in establishing a DAS initiative in their respective countries. The remaining obstacles reside mainly outside the control of the data professional community – namely research funders slowly adopt data sharing policies and incentives for data sharing, including the provision of a sustainable DAS infrastructure, capable of supporting researchers with publishing and accessing research data. The results show that the lack of expertise and skills of DAS initiatives, their understanding of tools and services or organizational settings are not such an issue, as more mature DAS are organising training and mentorship activities. Detailed guidance in the DAS advocacy and planning was prepared in the framework of the above-mentioned pan-European and some past regional projects. The tools and framework of those activities will be referred to in the discussions as a resource that can be used in other countries and continents.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48134530","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}
The adoption of reproducibility remains low, despite incentives becoming increasingly common in different domains, conferences, and journals. The truth is, reproducibility is technically difficult to achieve due to the complexities of computational environments. To address these technical challenges, we created ReproZip, an open-source tool that automatically packs research along with all the necessary information to reproduce it, including data files, software, OS version, and environment variables. Everything is then bundled into an rpz file, which users can use to reproduce the work with ReproZip and a suitable unpacker (e.g.: using Vagrant or Docker). The rpz file is general and contains rich metadata: more unpackers can be added as needed, better guaranteeing long-term preservation. However, installing the unpackers can still be burdensome for secondary users of ReproZip bundles. In this paper, we will discuss how ReproZip and our new tool, ReproServer, can be used together to facilitate access to well-preserved, reproducible work. ReproServer is a web application that allows users to upload or provide a link to a ReproZip bundle, and then interact with/reproduce the contents from the comfort of their browser. Users are then provided a persistent link to the unpacked work on ReproServer which they can share with reviewers or colleagues.
{"title":"Reproducibility, preservation, and access to research with ReproZip and ReproServer","authors":"V. Steeves, Rémi Rampin, F. Chirigati","doi":"10.31229/osf.io/mgvxq","DOIUrl":"https://doi.org/10.31229/osf.io/mgvxq","url":null,"abstract":"The adoption of reproducibility remains low, despite incentives becoming increasingly common in different domains, conferences, and journals. The truth is, reproducibility is technically difficult to achieve due to the complexities of computational environments. To address these technical challenges, we created ReproZip, an open-source tool that automatically packs research along with all the necessary information to reproduce it, including data files, software, OS version, and environment variables. Everything is then bundled into an rpz file, which users can use to reproduce the work with ReproZip and a suitable unpacker (e.g.: using Vagrant or Docker). The rpz file is general and contains rich metadata: more unpackers can be added as needed, better guaranteeing long-term preservation. However, installing the unpackers can still be burdensome for secondary users of ReproZip bundles. In this paper, we will discuss how ReproZip and our new tool, ReproServer, can be used together to facilitate access to well-preserved, reproducible work. ReproServer is a web application that allows users to upload or provide a link to a ReproZip bundle, and then interact with/reproduce the contents from the comfort of their browser. Users are then provided a persistent link to the unpacked work on ReproServer which they can share with reviewers or colleagues.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49384862","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 43 of the IASSIST Quarterly (IQ 43:3, 2019). Yes, we are open! Open data is good. Just a click away. Downloadable 24/7 for everybody. An open government would make the decisionmakers’ data open to the public and the opposition. As an example, communal data on bicycle paths could be open, so more navigation apps would flourish and embed the information in maps, which could suggest more safe bicycle routes. However, as demonstrated by all three articles in this IQ issue, very often research data include information that requires restrictions concerning data access. The second paper states that data should be ‘as open as possible and as closed as needed’. This phrase originates from a European Union Horizon 2020 project called the Open Research Data Pilot, in ‘Guidelines on FAIR Data Management in Horizon 2020’ (July 2016). Some data need to be closed and not freely available. So once more it shows that a simple solution of total openness and one-size-fits-all is not possible. We have to deal with more complicated schemes depending on the content of data. Luckily, experienced people at data institutions are capable of producing adapted solutions. The first article ‘Restricting data’s use: A spectrum of concerns in need of flexible approaches’ describes how data producers have legitimate needs for restricting data access for users. This understanding is quite important as some users might have an automatic objection towards all restrictions on use of data. The authors Dharma Akmon and Susan Jekielek are at ICPSR at the University of Michigan. ICPSR has been the U.S. research archive since 1962, so they have much practice in long-term storage of digital information. From a short-term perspective you might think that their primary task is to get the data in use and thus would be opposed to any kind of access restrictions. However, both producers and custodians of data are very well aware of their responsibility for determining restrictions and access. The caveat concerns the potential harm through disclosure, often exemplified by personal data of identifiable individuals. The article explains how dissemination options differ in where data are accessed and what is required for access. If you are new to IASSIST, the article also gives an excellent short introduction to ICPSR and how this institution guards itself and its users against the hazards of data sharing. In the second article ‘Managing data in cross-institutional projects’, the reader gains insight into how FAIR data usage benefits a cross-institutional project. The starting point for the authors - Zaza Nadja Lee Hansen, Filip Kruse, and Jesper Boserup Thestrup – is the FAIR principles that data should be: findable, accessible, interoperable, and re-useable. The authors state that this implies that the data should be as open as possible. However, as expressed in the ICPSR article above, data should at the same time be as closed as needed. Within the EU, t
欢迎阅读IASSIST季刊(IQ 43:3, 2019)第43卷第3期。是的，我们开门!开放数据很好。只需点击一下。每个人都可以全天候下载。一个开放的政府将使决策者的数据对公众和反对派开放。例如，自行车道的公共数据可以开放，因此更多的导航应用程序将蓬勃发展，并将信息嵌入地图中，这可能会建议更安全的自行车路线。然而，正如本期IQ杂志的三篇文章所表明的那样，研究数据经常包含需要限制数据访问的信息。第二篇论文指出，数据应该“尽可能开放，必要时尽可能封闭”。这个短语起源于欧盟地平线2020项目开放研究数据试点，在“地平线2020公平数据管理指南”(2016年7月)中。有些数据需要封闭，不能免费提供。因此，这再次表明，完全开放和一刀切的简单解决方案是不可能的。我们必须根据数据的内容处理更复杂的方案。幸运的是，数据机构中经验丰富的人员能够提供适应的解决方案。第一篇文章“限制数据的使用:需要灵活方法的一系列关注”描述了数据生产者如何有限制用户访问数据的合法需求。这种理解非常重要，因为一些用户可能会自动反对对数据使用的所有限制。作者Dharma Akmon和Susan Jekielek就职于密歇根大学的ICPSR。ICPSR自1962年以来一直是美国的研究档案，因此他们在数字信息的长期存储方面有很多实践。从短期的角度来看，您可能会认为他们的主要任务是获取正在使用的数据，因此反对任何类型的访问限制。然而，数据的生产者和保管人都非常清楚他们在确定限制和访问方面的责任。该警告涉及披露的潜在危害，通常以可识别个人的个人数据为例。本文解释了在访问数据的位置和访问所需的内容方面，传播选项是如何不同的。如果您是IASSIST的新手，本文还对ICPSR进行了极好的简短介绍，并介绍了该机构如何保护自己及其用户免受数据共享的危害。在第二篇文章“跨机构项目中的数据管理”中，读者可以深入了解公平数据的使用如何使跨机构项目受益。作者——Zaza Nadja Lee Hansen、philip Kruse和Jesper Boserup Thestrup——的出发点是FAIR原则，即数据应该是:可查找的、可访问的、可互操作的和可重用的。作者指出，这意味着数据应该尽可能地开放。然而，正如上文ICPSR的文章所述，数据应同时尽可能地封闭。在欧盟内部，提到GDPR(通用数据保护条例)总是会引起任何机构经济负责人的注意，因为数据泄露现在可以被处以非常严厉的罚款。作者通过几个跨机构项目的数据分享了他们在实施公平原则方面的经验。关键是要确保从一开始就在整个项目中遵循特定的指导方针、标准和格式。需要达成一致的问题包括数据和元数据的存储和共享、更新数据的责任以及决定使用哪种数据格式。本文总结了FAIR数据使用的好处，并介绍了跨机构项目。作者在丹麦国家档案馆担任高级顾问/项目经理，在丹麦皇家图书馆担任高级顾问，在丹麦皇家图书馆担任通讯官。这里提到的跨机构项目从克尔凯郭尔的著作延伸到风能。虽然这个问题一开始提到了ICPSR成立于1962年，但我们最后提到了一个最近加入档案世界的项目，该项目于2017年在卡塔尔大学社会和经济调查研究所(SESRI)成立。这篇题为“在海湾国家内部传播的数据存档”的论文论述了这个新机构在文化和政治敏感环境中的经验。从积极的角度来看，你可以把好处看作是不断扩大的。首先，存档人员获得了有关数据选择、限制、安全和元数据的策略方面的经验。这产生了好处，并扩展到更广泛的研究人员群体，他们的意识和改进涉及到设计、收集和记录研究等问题。此外，数据共享可被视为在中东和北非区域扩大，并使该区域产生的统计数据的相关性和可信度得到普遍改善。 同样，FAIR的可查找、可访问、可互操作和可重用原则正在获得动力，并被政府办公室和数据收集机构采用。在文章中，卡塔尔大学SESRI的故事在数据共享文化和挑战以及员工招聘，架构和工作流程问题的部分之前进行了描述。文章中的许多观察和考虑将对老年人和婴儿档案的工作人员都有价值。该论文的作者是卡塔尔大学档案馆的高级研究员和首席档案保管员Brian W. Mandikiana, Lois Timms-Ferrara和Marc Maynard - Data Independence(美国康涅狄格州)的首席执行官和技术总监。IASSIST季刊非常欢迎提交论文。我们欢迎来自IASSIST会议或其他会议和研讨会的意见，来自当地的演讲或专门为IQ编写的论文。当你准备这样的演讲时，考虑一下把你的一次演讲变成一个持久的贡献。事后做这件事也能让你有机会在得到反馈后改进你的工作。我们鼓励您登录或创建一个作者登录https://www.iassistquarterly.com(我们的开放期刊系统应用程序)。我们允许作者“深度链接”到IQ以及沉积在您的本地存储库中的论文。主持一次会议，目的是为某一期IQ特刊收集和整合论文，这也是非常值得赞赏的，因为这些信息可以传递给更多的人，而不仅仅是有限的会议参与者，而且可以在IASSIST季刊网站https://www.iassistquarterly.com上随时获得。作者们非常欢迎看看说明和布局:https://www.iassistquarterly.com/index.php/iassist/about/submissions作者也可以直接通过电子邮件与我联系:kbr@sam.sdu.dk。如果您有兴趣作为客座编辑为《IQ》编辑一期特刊，我也将很高兴收到您的来信。卡斯滕·博耶·拉斯穆森- 2019年9月
{"title":"As open as possible and as closed as needed","authors":"K. Rasmussen","doi":"10.29173/iq965","DOIUrl":"https://doi.org/10.29173/iq965","url":null,"abstract":"Welcome to the third issue of volume 43 of the IASSIST Quarterly (IQ 43:3, 2019). \u0000Yes, we are open! Open data is good. Just a click away. Downloadable 24/7 for everybody. An open government would make the decisionmakers’ data open to the public and the opposition. As an example, communal data on bicycle paths could be open, so more navigation apps would flourish and embed the information in maps, which could suggest more safe bicycle routes. However, as demonstrated by all three articles in this IQ issue, very often research data include information that requires restrictions concerning data access. The second paper states that data should be ‘as open as possible and as closed as needed’. This phrase originates from a European Union Horizon 2020 project called the Open Research Data Pilot, in ‘Guidelines on FAIR Data Management in Horizon 2020’ (July 2016). Some data need to be closed and not freely available. So once more it shows that a simple solution of total openness and one-size-fits-all is not possible. We have to deal with more complicated schemes depending on the content of data. Luckily, experienced people at data institutions are capable of producing adapted solutions. \u0000The first article ‘Restricting data’s use: A spectrum of concerns in need of flexible approaches’ describes how data producers have legitimate needs for restricting data access for users. This understanding is quite important as some users might have an automatic objection towards all restrictions on use of data. The authors Dharma Akmon and Susan Jekielek are at ICPSR at the University of Michigan. ICPSR has been the U.S. research archive since 1962, so they have much practice in long-term storage of digital information. From a short-term perspective you might think that their primary task is to get the data in use and thus would be opposed to any kind of access restrictions. However, both producers and custodians of data are very well aware of their responsibility for determining restrictions and access. The caveat concerns the potential harm through disclosure, often exemplified by personal data of identifiable individuals. The article explains how dissemination options differ in where data are accessed and what is required for access. If you are new to IASSIST, the article also gives an excellent short introduction to ICPSR and how this institution guards itself and its users against the hazards of data sharing. \u0000In the second article ‘Managing data in cross-institutional projects’, the reader gains insight into how FAIR data usage benefits a cross-institutional project. The starting point for the authors - Zaza Nadja Lee Hansen, Filip Kruse, and Jesper Boserup Thestrup – is the FAIR principles that data should be: findable, accessible, interoperable, and re-useable. The authors state that this implies that the data should be as open as possible. However, as expressed in the ICPSR article above, data should at the same time be as closed as needed. Within the EU, t","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44678744","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 paper provides guidelines for data management professionals and researchers on how FAIR data usage can help improve the planning, execution and overall success of a cross-institutional project. Cases from Danish cross-institutional projects are detailed to illustrate this point – as well as the lessons learnt with implementing FAIR data principles in such projects. Key learnings from this paper are: Using FAIR data principles in cross-institutional projects can help manage the data used in the project in terms of knowledge sharing, access rights, use of templates, metadata and further sharing the data after the project has ended. To benefit the most from using FAIR data in a cross-institutional project it should be considered and planned for early in the project process. If FAIR is not considered early in the project process problems can arise such as a lot of time spent on converting formats, obtaining permissions and assigning metadata. It is necessary for researchers and research projects to have infrastructure and other services in place which support FAIR data usage.
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Since 2008, Qatar University’s Social and Economic Survey Research Institute (SESRI), has been collecting nationally representative survey data on social and economic issues. In 2017, SESRI leadership established an Archiving Unit tasked with data preservation and dissemination both for internal purposes and with the intent of disseminating select data to the public for secondary analysis. This paper reviews the lessons learned from creating a data archive in an emerging economy where both cultural and political sensitivities exist amid varied groups of stakeholders. Challenges have included recruiting trained personnel, developing policies for data selection and workflow objectives, processing restricted and non-restricted datasets and metadata, data security issues, and promoting usage. Additionally, there is hope that the presence of the Archiving Unit adds value for other SESRI research staff involved in the design, collection, documentation, and processing of studies. After successfully addressing these challenges over the past year, the Archive met its objective to launch a data center at the Institute’s website (http://sesri.qu.edu.qa) and to make multiple datasets available for public download from it. Also, to be discussed are the tools, processes and leveraging of resources that are being implemented as the archiving process continues to evolve.
{"title":"Data archiving for dissemination within a Gulf nation","authors":"B. Mandikiana, Lois Timms-Ferrara, Marc Maynard","doi":"10.29173/iq943","DOIUrl":"https://doi.org/10.29173/iq943","url":null,"abstract":"Since 2008, Qatar University’s Social and Economic Survey Research Institute (SESRI), has been collecting nationally representative survey data on social and economic issues. In 2017, SESRI leadership established an Archiving Unit tasked with data preservation and dissemination both for internal purposes and with the intent of disseminating select data to the public for secondary analysis. \u0000 \u0000This paper reviews the lessons learned from creating a data archive in an emerging economy where both cultural and political sensitivities exist amid varied groups of stakeholders. Challenges have included recruiting trained personnel, developing policies for data selection and workflow objectives, processing restricted and non-restricted datasets and metadata, data security issues, and promoting usage. Additionally, there is hope that the presence of the Archiving Unit adds value for other SESRI research staff involved in the design, collection, documentation, and processing of studies. After successfully addressing these challenges over the past year, the Archive met its objective to launch a data center at the Institute’s website (http://sesri.qu.edu.qa) and to make multiple datasets available for public download from it. Also, to be discussed are the tools, processes and leveraging of resources that are being implemented as the archiving process continues to evolve.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42416181","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}
As researchers consider making their data available to others, they are concerned with the responsible use of data. As a result, they often seek to place restrictions on secondary use. The Research Connections archive at ICPSR makes available the datasets of dozens of studies related to childcare and early education. Of the 103 studies archived to date, 20 have some restrictions on access. While ICPSR’s data access systems were designed primarily to accommodate public use data (i.e. data without disclosure concerns) and potentially disclosive data, our interactions with depositors reveal a more nuanced notion range of needs for restricting use. Some data present a relatively low risk of threatening participants’ confidentiality, yet the data producers still want to monitor who is accessing the data and how they plan to use them. Other studies contain data with such a high risk of disclosure that their use must be restricted to a virtual data enclave. Still other studies rest on agreements with participants that require continuing oversight of secondary use by data producers, funders, and participants. This paper describes data producers’ range of needs to restrict data access and discusses how systems can better accommodate these needs.
{"title":"Restricting data’s use: A spectrum of concerns in need of flexible approaches","authors":"Dharma Akmon, S. Jekielek","doi":"10.29173/iq941","DOIUrl":"https://doi.org/10.29173/iq941","url":null,"abstract":"As researchers consider making their data available to others, they are concerned with the responsible use of data. As a result, they often seek to place restrictions on secondary use. The Research Connections archive at ICPSR makes available the datasets of dozens of studies related to childcare and early education. Of the 103 studies archived to date, 20 have some restrictions on access. While ICPSR’s data access systems were designed primarily to accommodate public use data (i.e. data without disclosure concerns) and potentially disclosive data, our interactions with depositors reveal a more nuanced notion range of needs for restricting use. Some data present a relatively low risk of threatening participants’ confidentiality, yet the data producers still want to monitor who is accessing the data and how they plan to use them. Other studies contain data with such a high risk of disclosure that their use must be restricted to a virtual data enclave. Still other studies rest on agreements with participants that require continuing oversight of secondary use by data producers, funders, and participants. This paper describes data producers’ range of needs to restrict data access and discusses how systems can better accommodate these needs.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46589367","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 second issue of Volume 43 of the IASSIST Quarterly (IQ 43:2, 2019). Four papers are presented in this issue on qualitative research support. This special issue arises from conversations in the Qualitative Social Science and Humanities Data Interest Group (QSSHDIG) at IASSIST about how best to support qualitative researchers. This group was founded in 2016 to explore the challenges and opportunities facing data professionals in the social sciences and humanities, and has focused on using, reusing, sharing, and archiving of qualitative, textual, and other non-numeric data. In ‘Annotation for transparent inquiry (ATI),’ Sebastian Karcher and Nic Weber present their work on a new approach to transparency in qualitative research by the same name, which they have been exploring at the Qualitative Data Repository at the University of Syracuse, New York. As one solution to the problem of ‘showing one’s work’ in qualitative research, ATI allows researchers to link final reports back to the underlying qualitative and textual data used to support a claim. Using the example of Hypothes.is, they discuss the positives and negatives of ATI, particularly the amount of time required to annotate a qualitative article effectively and technical limitations in widespread web display. The next article highlights how archived materials can be re-used by qualitative researchers and used to build their arguments. In ‘Research driven approaches to archival discovery,’ Diana Marsh examines what qualitative researchers need from the collections at the National Anthropological Archives in the United States, in order to improve archival discovery for those not as accustomed to working in the archives. In ‘Bringing method to the madness,’ Mandy Swygart-Hobaugh, Leader of the Research Data Services Team at the Georgia State University Library, outlines a project created to bridge the gap between training researchers to use qualitative data software and training them in qualitative methods. Her answer has been a collaborative workshop with a sociology professor who provides a methodological framework while she applies those principles to a project in NVivo. These successful workshops have helped to encourage researchers to consider qualitative methods while at the same time promoting the use of CAQDAS software. Jonathan Cain, Liz Cooper, Sarah DeMott, and Alesia Montgomery in their article ‘Where QDA is hiding?’ draw on a study originally conducted for QSSHDIG to create a list of qualitative data services in libraries. When they realized that finding these services was quite difficult, they expanded the study to examine the discoverability of library sites supporting QDA. This study of 95 academic library websites provides insight into the issues of finding and accessing library websites that support the full range of qualitative research needs. They also outline the key characteristics of websites that provide more accessible access to qualitative data servic
{"title":"Guest editors' notes: Special issue on qualitative research support","authors":"L. Kellam, Celia Emmelhainz","doi":"10.29173/IQ954","DOIUrl":"https://doi.org/10.29173/IQ954","url":null,"abstract":"Welcome to the second issue of Volume 43 of the IASSIST Quarterly (IQ 43:2, 2019). Four papers are presented in this issue on qualitative research support. This special issue arises from conversations in the Qualitative Social Science and Humanities Data Interest Group (QSSHDIG) at IASSIST about how best to support qualitative researchers. This group was founded in 2016 to explore the challenges and opportunities facing data professionals in the social sciences and humanities, and has focused on using, reusing, sharing, and archiving of qualitative, textual, and other non-numeric data. \u0000In ‘Annotation for transparent inquiry (ATI),’ Sebastian Karcher and Nic Weber present their work on a new approach to transparency in qualitative research by the same name, which they have been exploring at the Qualitative Data Repository at the University of Syracuse, New York. As one solution to the problem of ‘showing one’s work’ in qualitative research, ATI allows researchers to link final reports back to the underlying qualitative and textual data used to support a claim. Using the example of Hypothes.is, they discuss the positives and negatives of ATI, particularly the amount of time required to annotate a qualitative article effectively and technical limitations in widespread web display. \u0000The next article highlights how archived materials can be re-used by qualitative researchers and used to build their arguments. In ‘Research driven approaches to archival discovery,’ Diana Marsh examines what qualitative researchers need from the collections at the National Anthropological Archives in the United States, in order to improve archival discovery for those not as accustomed to working in the archives. \u0000In ‘Bringing method to the madness,’ Mandy Swygart-Hobaugh, Leader of the Research Data Services Team at the Georgia State University Library, outlines a project created to bridge the gap between training researchers to use qualitative data software and training them in qualitative methods. Her answer has been a collaborative workshop with a sociology professor who provides a methodological framework while she applies those principles to a project in NVivo. These successful workshops have helped to encourage researchers to consider qualitative methods while at the same time promoting the use of CAQDAS software. \u0000Jonathan Cain, Liz Cooper, Sarah DeMott, and Alesia Montgomery in their article ‘Where QDA is hiding?’ draw on a study originally conducted for QSSHDIG to create a list of qualitative data services in libraries. When they realized that finding these services was quite difficult, they expanded the study to examine the discoverability of library sites supporting QDA. This study of 95 academic library websites provides insight into the issues of finding and accessing library websites that support the full range of qualitative research needs. They also outline the key characteristics of websites that provide more accessible access to qualitative data servic","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47255973","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}
How can authors using many individual pieces of qualitative data throughout a publication make their research transparent? In this paper we introduce Annotation for Transparent Inquiry (ATI), an approach to enhance transparency in qualitative research. ATI allows authors to connect specific passages in their publication with an annotation. These annotations provide additional information relevant to the passage and, when possible, include a link to one or more data sources underlying a claim; data sources are housed in a repository. After describing ATI’s conceptual and technological implementation, we report on its evaluation through a series of workshops conducted by the Qualitative Data Repository (QDR) and present initial results of the evaluation. The article ends with an outlook on next steps for the project.
{"title":"Annotation for transparent inquiry: Transparent data and analysis for qualitative research","authors":"Sebastian Karcher, Nicholas M. Weber","doi":"10.29173/IQ959","DOIUrl":"https://doi.org/10.29173/IQ959","url":null,"abstract":"How can authors using many individual pieces of qualitative data throughout a publication make their research transparent? In this paper we introduce Annotation for Transparent Inquiry (ATI), an approach to enhance transparency in qualitative research. ATI allows authors to connect specific passages in their publication with an annotation. These annotations provide additional information relevant to the passage and, when possible, include a link to one or more data sources underlying a claim; data sources are housed in a repository. After describing ATI’s conceptual and technological implementation, we report on its evaluation through a series of workshops conducted by the Qualitative Data Repository (QDR) and present initial results of the evaluation. The article ends with an outlook on next steps for the project.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43875943","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 second issue of volume 43 of the IASSIST Quarterly (IQ 43:2, 2019). With joy and pride the many people behind each issue of the IQ are here presenting a special issue. IASSIST has several interest groups of members committed to selected important areas under the umbrella of IASSIST. Be aware that you could become a member of an interest group (see: https://iassistdata.org/about/committees.html#interest). If an interest area that you find important is not presently on this list, you are invited to start campaigning for the formation of a new interest group. The interest groups discuss and document their area and often arrange sessions at the IASSIST conferences. More formalization and continued documentation of the group’s work are presented in conference papers and papers published here in the IQ. This issue of the IQ is dedicated to papers on qualitative data presented by members of the group named ‘Qualitative Social Science & Humanities Data Interest Group’ (QSSHDIG) and related practitioners. Lynda Kellam from the Cornell Institute for Social & Economic Research and Mandy Swygart-Hobaugh of George State University end their leadership of the group with this special issue. Lynda Kellam and Celia Emmelhainz (qualitative research librarian at the University of California Berkeley) are guest editors of this issue and their introduction to the issue is following this page. I want to express my great thanks from the IQ to Lynda and Celia for taking the job of compiling a special issue. Support for qualitative data is important and a growing area. I trust you as readers will find valuable information and excellent advice in the papers of the many authors that are committed to improving the use and value of qualitative data. Submissions of papers for the IASSIST Quarterly are always very welcome. We welcome input from IASSIST conferences or other conferences and workshops, from local presentations or papers especially written for the IQ. When you are preparing such a presentation, give a thought to turning your one-time presentation into a lasting contribution. Doing that after the event also gives you the opportunity of improving your work after feedback. We encourage you to login or create an author login to https://www.iassistquarterly.com (our Open Journal System application). We permit authors 'deep links' into the IQ as well as deposition of the paper in your local repository. Chairing a conference session with the purpose of aggregating and integrating papers for a special issue IQ is also much appreciated as the information reaches many more people than the limited number of session participants and will be readily available on the IASSIST Quarterly website at https://www.iassistquarterly.com. Authors are very welcome to take a look at the instructions and layout: https://www.iassistquarterly.com/index.php/iassist/about/submissions Authors can also contact me directly via e-mail: kbr@sam.sdu.dk. Should you be interest
{"title":"The interest group on qualitative data sums up and continues","authors":"K. Rasmussen","doi":"10.29173/IQ961","DOIUrl":"https://doi.org/10.29173/IQ961","url":null,"abstract":"Welcome to the second issue of volume 43 of the IASSIST Quarterly (IQ 43:2, 2019). \u0000With joy and pride the many people behind each issue of the IQ are here presenting a special issue. IASSIST has several interest groups of members committed to selected important areas under the umbrella of IASSIST. Be aware that you could become a member of an interest group (see: https://iassistdata.org/about/committees.html#interest). If an interest area that you find important is not presently on this list, you are invited to start campaigning for the formation of a new interest group. The interest groups discuss and document their area and often arrange sessions at the IASSIST conferences. More formalization and continued documentation of the group’s work are presented in conference papers and papers published here in the IQ. \u0000This issue of the IQ is dedicated to papers on qualitative data presented by members of the group named ‘Qualitative Social Science & Humanities Data Interest Group’ (QSSHDIG) and related practitioners. Lynda Kellam from the Cornell Institute for Social & Economic Research and Mandy Swygart-Hobaugh of George State University end their leadership of the group with this special issue. Lynda Kellam and Celia Emmelhainz (qualitative research librarian at the University of California Berkeley) are guest editors of this issue and their introduction to the issue is following this page. I want to express my great thanks from the IQ to Lynda and Celia for taking the job of compiling a special issue. Support for qualitative data is important and a growing area. I trust you as readers will find valuable information and excellent advice in the papers of the many authors that are committed to improving the use and value of qualitative data. \u0000Submissions of papers for the IASSIST Quarterly are always very welcome. We welcome input from IASSIST conferences or other conferences and workshops, from local presentations or papers especially written for the IQ. When you are preparing such a presentation, give a thought to turning your one-time presentation into a lasting contribution. Doing that after the event also gives you the opportunity of improving your work after feedback. We encourage you to login or create an author login to https://www.iassistquarterly.com (our Open Journal System application). We permit authors 'deep links' into the IQ as well as deposition of the paper in your local repository. Chairing a conference session with the purpose of aggregating and integrating papers for a special issue IQ is also much appreciated as the information reaches many more people than the limited number of session participants and will be readily available on the IASSIST Quarterly website at https://www.iassistquarterly.com. Authors are very welcome to take a look at the instructions and layout: \u0000https://www.iassistquarterly.com/index.php/iassist/about/submissions \u0000Authors can also contact me directly via e-mail: kbr@sam.sdu.dk. Should you be interest","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41721559","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}
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