Pub Date : 2021-05-06DOI: 10.7191/JESLIB.2021.1198
Katherine Mika
Book review of: Data Feminism by Catherine D'Ignazio and Lauren F. Klein, The MIT Press (2020). Data Feminism combines intersectional feminism and critical data studies to invite the reader to consider: “How can we use data to remake the world?” As non-profit organizations with a mandate to provide equitable access to non-neutral information and services, libraries and library workers are uniquely positioned to advance the principles laid out in Data Feminism.
{"title":"Book Review: Data Feminism","authors":"Katherine Mika","doi":"10.7191/JESLIB.2021.1198","DOIUrl":"https://doi.org/10.7191/JESLIB.2021.1198","url":null,"abstract":"Book review of: Data Feminism by Catherine D'Ignazio and Lauren F. Klein, The MIT Press (2020).\u0000\u0000Data Feminism combines intersectional feminism and critical data studies to invite the reader to consider: “How can we use data to remake the world?” As non-profit organizations with a mandate to provide equitable access to non-neutral information and services, libraries and library workers are uniquely positioned to advance the principles laid out in Data Feminism.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"10 1","pages":"e1198"},"PeriodicalIF":0.0,"publicationDate":"2021-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47857465","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}
Archival expectations and requirements for researchers’ data and code are changing rapidly, both among publishers and institutions, in response to what has been referred to as a “reproducibility crisis.” In an effort to address this crisis, a number of publishers have added requirements or recommendations to increase the availability of supporting information behind the research, and academic institutions have followed. Librarians should focus on ways to make it easier for researchers to effectively share their data and code with reproducibility in mind. At the Cornell Center for Social Sciences, we have instituted a Results Reproduction Service (R-Squared) for Cornell researchers. Part of this service includes archiving the R-Squared package in our CoreTrustSeal certified Data and Reproduction Archive, which has been rebuilt to accommodate both the unique requirements of those packages and the traditional role of our data archive. Librarians need to consider roles that archives and institutional repositories can play in supporting researchers with reproducibility initiatives. Our commentary closes with some suggestions for more information and training.
{"title":"Preparing a Data Archive or Repository for Changing Research Data and Materials Retention Policies","authors":"John F. Bohan, L. Kellam","doi":"10.17605/OSF.IO/UG5TY","DOIUrl":"https://doi.org/10.17605/OSF.IO/UG5TY","url":null,"abstract":"Archival expectations and requirements for researchers’ data and code are changing rapidly, both among publishers and institutions, in response to what has been referred to as a “reproducibility crisis.” In an effort to address this crisis, a number of publishers have added requirements or recommendations to increase the availability of supporting information behind the research, and academic institutions have followed. Librarians should focus on ways to make it easier for researchers to effectively share their data and code with reproducibility in mind. At the Cornell Center for Social Sciences, we have instituted a Results Reproduction Service (R-Squared) for Cornell researchers. Part of this service includes archiving the R-Squared package in our CoreTrustSeal certified Data and Reproduction Archive, which has been rebuilt to accommodate both the unique requirements of those packages and the traditional role of our data archive. Librarians need to consider roles that archives and institutional repositories can play in supporting researchers with reproducibility initiatives. Our commentary closes with some suggestions for more information and training.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49658592","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 : 2021-03-24DOI: 10.7191/JESLIB.2021.1180
Jia Liu
A digital object identifier (DOI) is an increasingly prominent persistent identifier in finding and accessing scholarly information. This paper intends to present an overview of global development and approaches in the field of DOI and DOI services with a slight geographical focus on Germany. At first, the initiation and components of the DOI system and the structure of a DOI name are explored. Next, the fundamental and specific characteristics of DOIs are described and DOIs for three (3) kinds of typical intellectual entities in the scholar communication are dealt with; then, a general DOI service pyramid is sketched with brief descriptions of functions of institutions at different levels. After that, approaches of the research data librarianship community in the field of RDM, especially DOI services, are elaborated. As examples, the DOI services provided in German research libraries as well as best practices of DOI services in a German library are introduced; and finally, the current practices and some issues dealing with DOIs are summarized. It is foreseeable that DOI, which is crucial to FAIR research data, will gain extensive recognition in the scientific world.
{"title":"Digital Object Identifier (DOI) Under the Context of Research Data Librarianship","authors":"Jia Liu","doi":"10.7191/JESLIB.2021.1180","DOIUrl":"https://doi.org/10.7191/JESLIB.2021.1180","url":null,"abstract":"A digital object identifier (DOI) is an increasingly prominent persistent identifier in finding and accessing scholarly information. This paper intends to present an overview of global development and approaches in the field of DOI and DOI services with a slight geographical focus on Germany. At first, the initiation and components of the DOI system and the structure of a DOI name are explored. Next, the fundamental and specific characteristics of DOIs are described and DOIs for three (3) kinds of typical intellectual entities in the scholar communication are dealt with; then, a general DOI service pyramid is sketched with brief descriptions of functions of institutions at different levels. After that, approaches of the research data librarianship community in the field of RDM, especially DOI services, are elaborated. As examples, the DOI services provided in German research libraries as well as best practices of DOI services in a German library are introduced; and finally, the current practices and some issues dealing with DOIs are summarized. It is foreseeable that DOI, which is crucial to FAIR research data, will gain extensive recognition in the scientific world.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45519480","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 : 2021-03-01DOI: 10.7191/JESLIB.2021.1193
Moira Downey, Sophia Lafferty-Hess, P. Charbonneau, Angela Zoss
A range of regulatory pressures emanating from funding agencies and scholarly journals increasingly encourage researchers to engage in formal data sharing practices. As academic libraries continue to refine their role in supporting researchers in this data sharing space, one particular challenge has been finding new ways to meaningfully engage with campus researchers. Libraries help shape norms and encourage data sharing through education and training, and there has been significant growth in the services these institutions are able to provide and the ways in which library staff are able to collaborate and communicate with researchers. Evidence also suggests that within disciplines, normative pressures and expectations around professional conduct have a significant impact on data sharing behaviors (Kim and Adler 2015; Sigit Sayogo and Pardo 2013; Zenk-Moltgen et al. 2018). Duke University Libraries' Research Data Management program has recently centered part of its outreach strategy on leveraging peer networks and social modeling to encourage and normalize robust data sharing practices among campus researchers. The program has hosted two panel discussions on issues related to data management—specifically, data sharing and research reproducibility. This paper reflects on some lessons learned from these outreach efforts and outlines next steps.
来自资助机构和学术期刊的一系列监管压力越来越多地鼓励研究人员参与正式的数据共享实践。随着学术图书馆在支持数据共享领域的研究人员方面不断完善自己的角色，一个特别的挑战是找到与校园研究人员进行有意义接触的新方法。图书馆通过教育和培训帮助形成规范并鼓励数据共享，这些机构能够提供的服务以及图书馆工作人员能够与研究人员合作和沟通的方式都有了显著的增长。证据还表明，在学科内部，规范压力和对专业行为的期望对数据共享行为有重大影响(Kim and Adler 2015;Sigit Sayogo and Pardo 2013;Zenk-Moltgen et al. 2018)。杜克大学图书馆的研究数据管理项目最近将其拓展战略的一部分集中在利用对等网络和社会模型上，以鼓励和规范校园研究人员之间的强大数据共享实践。该项目举办了两场关于数据管理相关问题的小组讨论，特别是数据共享和研究可重复性。本文反思了从这些外联工作中吸取的一些经验教训，并概述了今后的步骤。
{"title":"Engaging Researchers in Data Dialogues: Designing Collaborative Programming to Promote Research Data Sharing","authors":"Moira Downey, Sophia Lafferty-Hess, P. Charbonneau, Angela Zoss","doi":"10.7191/JESLIB.2021.1193","DOIUrl":"https://doi.org/10.7191/JESLIB.2021.1193","url":null,"abstract":"A range of regulatory pressures emanating from funding agencies and scholarly journals increasingly encourage researchers to engage in formal data sharing practices. As academic libraries continue to refine their role in supporting researchers in this data sharing space, one particular challenge has been finding new ways to meaningfully engage with campus researchers. Libraries help shape norms and encourage data sharing through education and training, and there has been significant growth in the services these institutions are able to provide and the ways in which library staff are able to collaborate and communicate with researchers. Evidence also suggests that within disciplines, normative pressures and expectations around professional conduct have a significant impact on data sharing behaviors (Kim and Adler 2015; Sigit Sayogo and Pardo 2013; Zenk-Moltgen et al. 2018). Duke University Libraries' Research Data Management program has recently centered part of its outreach strategy on leveraging peer networks and social modeling to encourage and normalize robust data sharing practices among campus researchers. The program has hosted two panel discussions on issues related to data management—specifically, data sharing and research reproducibility. This paper reflects on some lessons learned from these outreach efforts and outlines next steps.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44561272","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 : 2021-03-01DOI: 10.7191/JESLIB.2021.1191
Ceilyn Boyd
Objective: Investigate how different groups of depositors vary in their use of optional data curation features that provide support for FAIR research data in the Harvard Dataverse repository. Methods: A numerical score based upon the presence or absence of characteristics associated with the use of optional features was assigned to each of the 29,295 datasets deposited in Harvard Dataverse between 2007 and 2019. Statistical analyses were performed to investigate patterns of optional feature use amongst different groups of depositors and their relationship to other dataset characteristics. Results: Members of groups make greater use of Harvard Dataverse's optional features than individual researchers. Datasets that undergo a data curation review before submission to Harvard Dataverse, are associated with a publication, or contain restricted files also make greater use of optional features. Conclusions: Individual researchers might benefit from increased outreach and improved documentation about the benefits and use of optional features to improve their datasets' level of curation beyond the FAIR-informed support that the Harvard Dataverse repository provides by default. Platform designers, developers, and managers may also use the numerical scoring approach to explore how different user groups use optional application features.
{"title":"Use of Optional Data Curation Features by Users of Harvard Dataverse Repository","authors":"Ceilyn Boyd","doi":"10.7191/JESLIB.2021.1191","DOIUrl":"https://doi.org/10.7191/JESLIB.2021.1191","url":null,"abstract":"Objective: Investigate how different groups of depositors vary in their use of optional data curation features that provide support for FAIR research data in the Harvard Dataverse repository.\u0000\u0000Methods: A numerical score based upon the presence or absence of characteristics associated with the use of optional features was assigned to each of the 29,295 datasets deposited in Harvard Dataverse between 2007 and 2019. Statistical analyses were performed to investigate patterns of optional feature use amongst different groups of depositors and their relationship to other dataset characteristics.\u0000\u0000Results: Members of groups make greater use of Harvard Dataverse's optional features than individual researchers. Datasets that undergo a data curation review before submission to Harvard Dataverse, are associated with a publication, or contain restricted files also make greater use of optional features.\u0000\u0000Conclusions: Individual researchers might benefit from increased outreach and improved documentation about the benefits and use of optional features to improve their datasets' level of curation beyond the FAIR-informed support that the Harvard Dataverse repository provides by default. Platform designers, developers, and managers may also use the numerical scoring approach to explore how different user groups use optional application features.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42090589","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 : 2021-01-19DOI: 10.7191/JESLIB.2021.1187
J. Chaput
This commentary describes the experience of attending RDAP 2020 remotely after the author’s trip cancellation due to COVID-19 travel restrictions. The author describes the highs and lows of the remote viewing experience, and the potential future landscape of virtual conferences and remote attendance. Maintaining networking and casual conversation during a virtual conference is an area that needs improvement but has potential. Takeaways from several conference sessions, including the keynote speaker, are also included along with discussion of how the author learned valuable information or could apply the topics to her own work.
{"title":"Virtual Connections and Virtual Futures: A Commentary on Attending RDAP2020 Remotely and a Look to the Future of Online Conferences","authors":"J. Chaput","doi":"10.7191/JESLIB.2021.1187","DOIUrl":"https://doi.org/10.7191/JESLIB.2021.1187","url":null,"abstract":"This commentary describes the experience of attending RDAP 2020 remotely after the author’s trip cancellation due to COVID-19 travel restrictions. The author describes the highs and lows of the remote viewing experience, and the potential future landscape of virtual conferences and remote attendance. Maintaining networking and casual conversation during a virtual conference is an area that needs improvement but has potential. Takeaways from several conference sessions, including the keynote speaker, are also included along with discussion of how the author learned valuable information or could apply the topics to her own work.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"10 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44921455","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 : 2021-01-19DOI: 10.7191/JESLIB.2021.1190
Catherine Grynoch
Objective: As electronic laboratory notebook (ELN) capability continues to expand, more researchers are turning to this digital format. The University of Massachusetts Medical School developed new guidelines to outline the retention and transferal of ELNs. How do other universities approach the retention and transferal of laboratory notebooks, including ELNs? Methods: The websites of 25 universities were searched for policies or guidelines on laboratory notebook retention and transferal. A textual analysis of the policies was performed to find common themes. Results: Information on the retention and transferal of laboratory notebooks was found in record retention and research data policies/guidelines. Out of the 25 institutional websites searched, 16 policies/guidelines on research notebook retention were found and 10 institutions had policies/guidelines on transferring research notebooks when a researcher leaves the university. Only one policy had a retention recommendation for storage location specific to electronic media, including laboratory notebooks, that did not apply to its paper counterparts, the remaining policies either explicitly include multiple forms and media or do not mention multiple formats for research records at all. The minimum number of years of retention for research notebooks ranged from immediately after report completion to 7 years after completing the research with the possibility of extension depending on a wide range of external requirements. Most research notebook transferal policies and guidelines required associated researchers and students to request permission from their principal investigator (PI) before taking a copy of the notebook. Most institutions with policies also seek to retain access to research notebooks when a PI leaves an institution to protect intellectual property and respond to any cases of scientific misconduct or conflict of interest. Conclusions: Other universities have a range of approaches for the retention and transferal of laboratory notebooks, but most provide the same recommendations for both electronic and physical laboratory notebooks in their research data or record retention policies/guidelines.
{"title":"Finding Connections in Policies Covering Electronic Laboratory Notebook Retention and Transferal","authors":"Catherine Grynoch","doi":"10.7191/JESLIB.2021.1190","DOIUrl":"https://doi.org/10.7191/JESLIB.2021.1190","url":null,"abstract":"Objective: As electronic laboratory notebook (ELN) capability continues to expand, more researchers are turning to this digital format. The University of Massachusetts Medical School developed new guidelines to outline the retention and transferal of ELNs. How do other universities approach the retention and transferal of laboratory notebooks, including ELNs?\u0000\u0000Methods: The websites of 25 universities were searched for policies or guidelines on laboratory notebook retention and transferal. A textual analysis of the policies was performed to find common themes.\u0000\u0000Results: Information on the retention and transferal of laboratory notebooks was found in record retention and research data policies/guidelines. Out of the 25 institutional websites searched, 16 policies/guidelines on research notebook retention were found and 10 institutions had policies/guidelines on transferring research notebooks when a researcher leaves the university. Only one policy had a retention recommendation for storage location specific to electronic media, including laboratory notebooks, that did not apply to its paper counterparts, the remaining policies either explicitly include multiple forms and media or do not mention multiple formats for research records at all. The minimum number of years of retention for research notebooks ranged from immediately after report completion to 7 years after completing the research with the possibility of extension depending on a wide range of external requirements. Most research notebook transferal policies and guidelines required associated researchers and students to request permission from their principal investigator (PI) before taking a copy of the notebook. Most institutions with policies also seek to retain access to research notebooks when a PI leaves an institution to protect intellectual property and respond to any cases of scientific misconduct or conflict of interest.\u0000\u0000Conclusions: Other universities have a range of approaches for the retention and transferal of laboratory notebooks, but most provide the same recommendations for both electronic and physical laboratory notebooks in their research data or record retention policies/guidelines.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48528346","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 : 2021-01-19DOI: 10.7191/JESLIB.2021.1189
Sara Mannheimer, Jason A. Clark, Kyle Hagerman, Jakob Schultz, James Espeland
Objective: Promoting discovery of research data helps archived data realize its potential to advance knowledge. Montana State University (MSU) Dataset Search aims to support discovery and reporting for research datasets created by researchers at institutions. Methods and Results: The Dataset Search application consists of five core features: a streamlined browse and search interface, a data model based on dataset discovery, a harvesting process for finding and vetting datasets stored in external repositories, an administrative interface for managing the creation, ingest, and maintenance of dataset records, and a dataset visualization interface to demonstrate how data is produced and used by MSU researchers. Conclusion: The Dataset Search application is designed to be easily customized and implemented by other institutions. Indexes like Dataset Search can improve search and discovery for content archived in data repositories, therefore amplifying the impact and benefits of archived data.
{"title":"Dataset Search: A lightweight, community-built tool to support research data discovery","authors":"Sara Mannheimer, Jason A. Clark, Kyle Hagerman, Jakob Schultz, James Espeland","doi":"10.7191/JESLIB.2021.1189","DOIUrl":"https://doi.org/10.7191/JESLIB.2021.1189","url":null,"abstract":"Objective: Promoting discovery of research data helps archived data realize its potential to advance knowledge. Montana State University (MSU) Dataset Search aims to support discovery and reporting for research datasets created by researchers at institutions.\u0000\u0000Methods and Results: The Dataset Search application consists of five core features: a streamlined browse and search interface, a data model based on dataset discovery, a harvesting process for finding and vetting datasets stored in external repositories, an administrative interface for managing the creation, ingest, and maintenance of dataset records, and a dataset visualization interface to demonstrate how data is produced and used by MSU researchers.\u0000\u0000Conclusion: The Dataset Search application is designed to be easily customized and implemented by other institutions. Indexes like Dataset Search can improve search and discovery for content archived in data repositories, therefore amplifying the impact and benefits of archived data.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42661249","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 : 2021-01-19DOI: 10.7191/JESLIB.2021.1197
Sara Mannheimer, S. Newman, H. Coates, A. Rinehart
The Journal of eScience Librarianship has partnered with the Research Data Access & Preservation (RDAP) Association for a third year to publish selected conference proceedings. This issue highlights the research presented at the RDAP 2020 Summit and the community it has fostered.
{"title":"Special Issue: 2020 Research Data Access and Preservation Summit","authors":"Sara Mannheimer, S. Newman, H. Coates, A. Rinehart","doi":"10.7191/JESLIB.2021.1197","DOIUrl":"https://doi.org/10.7191/JESLIB.2021.1197","url":null,"abstract":"The Journal of eScience Librarianship has partnered with the Research Data Access & Preservation (RDAP) Association for a third year to publish selected conference proceedings. This issue highlights the research presented at the RDAP 2020 Summit and the community it has fostered.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"10 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45640659","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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