{"title":"尽可能开放,尽可能封闭","authors":"K. Rasmussen","doi":"10.29173/iq965","DOIUrl":null,"url":null,"abstract":"Welcome to the third issue of volume 43 of the IASSIST Quarterly (IQ 43:3, 2019). \nYes, 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. \nThe 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. \nIn the second article ‘Managing data in cross-institutional projects’, the reader gains insight into how FAIR data usage benefits a cross-institutional project. 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With a positive view you can regard the benefits as expanding. The start is that archive staff get experience concerning policies for data selection, restrictions, security and metadata. This generates benefits and expands to the broader group of research staff where awareness and improvements relate to issues like design, collection and documentation of studies. Furthermore, data sharing can be seen as expanding in the Middle East and North Africa region and generating a general improvement in the relevance and credibility of statistics generated in the region. Again, the FAIR principles of findable, accessible, interoperable, and re-useable are gaining momentum and being adopted by government offices and data collection agencies. In the article, the story of SESRI at Qatar University is described ahead of sections concerning data sharing culture and challenges as well as issues of staff recruitment, architecture and workflow. Many of the observations and considerations in the article will be of value to staff at both older and infant archives. The authors of the paper are the senior researcher and lead archivist at the archive of the Qatar University Brian W. Mandikiana, and Lois Timms-Ferrara and Marc Maynard – CEO and director of technology at Data Independence (Connecticut, USA). \nSubmissions 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: \nhttps://www.iassistquarterly.com/index.php/iassist/about/submissions \nAuthors can also contact me directly via e-mail: kbr@sam.sdu.dk. Should you be interested in compiling a special issue for the IQ as guest editor(s) I will also be delighted to hear from you. \nKarsten Boye Rasmussen - September 2019","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"As open as possible and as closed as needed\",\"authors\":\"K. Rasmussen\",\"doi\":\"10.29173/iq965\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Welcome to the third issue of volume 43 of the IASSIST Quarterly (IQ 43:3, 2019). \\nYes, 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. 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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. \\nIn 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, the mention of GDPR (General Data Protection Regulation) will always catch the attention of the economical responsible at any institution because data breaches can now be very severely fined. The authors share their experience with implementation of the FAIR principles with data from several cross-institutional projects. The key is to ensure that from the beginning there is agreement on following the specific guidelines, standards and formats throughout the project. The issues to agree on are, among other things, storage and sharing of data and metadata, responsibilities for updating data, and deciding which data format to use. The benefits of FAIR data usage are summarized, and the article also describes the cross-institutional projects. The authors work as a senior consultant/project manager at the Danish National Archives, senior advisor at The Royal Danish Library, and communications officer at The Royal Danish Library. 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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: \\nhttps://www.iassistquarterly.com/index.php/iassist/about/submissions \\nAuthors can also contact me directly via e-mail: kbr@sam.sdu.dk. 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引用次数: 0
摘要
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
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, the mention of GDPR (General Data Protection Regulation) will always catch the attention of the economical responsible at any institution because data breaches can now be very severely fined. The authors share their experience with implementation of the FAIR principles with data from several cross-institutional projects. The key is to ensure that from the beginning there is agreement on following the specific guidelines, standards and formats throughout the project. The issues to agree on are, among other things, storage and sharing of data and metadata, responsibilities for updating data, and deciding which data format to use. The benefits of FAIR data usage are summarized, and the article also describes the cross-institutional projects. The authors work as a senior consultant/project manager at the Danish National Archives, senior advisor at The Royal Danish Library, and communications officer at The Royal Danish Library. The cross-institutional projects mentioned here stretch from Kierkegaard’s writings to wind energy.
While this issue started by mentioning that ICPSR was founded in 1962, we end with a more recent addition to the archive world, established at Qatar University’s Social and Economic Survey Research Institute (SESRI) in 2017. The paper ‘Data archiving for dissemination within a Gulf nation’ addresses the experience of this new institution in an environment of cultural and political sensitivity. With a positive view you can regard the benefits as expanding. The start is that archive staff get experience concerning policies for data selection, restrictions, security and metadata. This generates benefits and expands to the broader group of research staff where awareness and improvements relate to issues like design, collection and documentation of studies. Furthermore, data sharing can be seen as expanding in the Middle East and North Africa region and generating a general improvement in the relevance and credibility of statistics generated in the region. Again, the FAIR principles of findable, accessible, interoperable, and re-useable are gaining momentum and being adopted by government offices and data collection agencies. In the article, the story of SESRI at Qatar University is described ahead of sections concerning data sharing culture and challenges as well as issues of staff recruitment, architecture and workflow. Many of the observations and considerations in the article will be of value to staff at both older and infant archives. The authors of the paper are the senior researcher and lead archivist at the archive of the Qatar University Brian W. Mandikiana, and Lois Timms-Ferrara and Marc Maynard – CEO and director of technology at Data Independence (Connecticut, USA).
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 interested in compiling a special issue for the IQ as guest editor(s) I will also be delighted to hear from you.
Karsten Boye Rasmussen - September 2019