Journal of escience librarianship最新文献_第6页

Two Years in the Making: Library Resources for Transgender Topics 两年的制作:跨性别主题的图书馆资源

Journal of escience librarianship Pub Date : 2021-01-19 DOI: 10.7191/JESLIB.2021.1188

Wanda Marsolek, Katie Barrick, S. J. Brown, Kristi Bergland, C. Bakker, Shanda L Hunt

引用次数: 2

(Hyper)active Data Curation: A Video Case Study from Behavioral Science. (超）主动数据整理：行为科学视频案例研究。

Journal of escience librarianship Pub Date : 2021-01-01 Epub Date: 2021-08-11 DOI: 10.7191/jeslib.2021.1208

Kasey C Soska, Melody Xu, Sandy L Gonzalez, Orit Herzberg, Catherine S Tamis-LeMonda, Rick O Gilmore, Karen E Adolph

{"title":"(Hyper)active Data Curation: A Video Case Study from Behavioral Science.","authors":"Kasey C Soska, Melody Xu, Sandy L Gonzalez, Orit Herzberg, Catherine S Tamis-LeMonda, Rick O Gilmore, Karen E Adolph","doi":"10.7191/jeslib.2021.1208","DOIUrl":"10.7191/jeslib.2021.1208","url":null,"abstract":"Video data are uniquely suited for research reuse and for documenting research methods and findings. However, curation of video data is a serious hurdle for researchers in the social and behavioral sciences, where behavioral video data are obtained session by session and data sharing is not the norm. To eliminate the onerous burden of post hoc curation at the time of publication (or later), we describe best practices in active data curation-where data are curated and uploaded immediately after each data collection to allow instantaneous sharing with one button press at any time. Indeed, we recommend that researchers adopt \"hyperactive\" data curation where they openly share every step of their research process. The necessary infrastructure and tools are provided by Databrary-a secure, web-based data library designed for active curation and sharing of personally identifiable video data and associated metadata. We provide a case study of hyperactive curation of video data from the Play and Learning Across a Year (PLAY) project, where dozens of researchers developed a common protocol to collect, annotate, and actively curate video data of infants and mothers during natural activity in their homes at research sites across North America. PLAY relies on scalable standardized workflows to facilitate collaborative research, assure data quality, and prepare the corpus for sharing and reuse throughout the entire research process.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"10 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443153/pdf/nihms-1732588.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39444475","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}

引用次数: 0

Charles Dickens’ A Tale of Two Cities and Data Librarians: Connections that Resonate 查尔斯·狄更斯的《双城记》和《数据图书管理员:引起共鸣的联系》

Journal of escience librarianship Pub Date : 2020-12-18 DOI: 10.7191/jeslib.2020.1196

R. Raboin

引用次数: 0

Data Management and Curation for Qualitative Research: Collaborative Curriculum Development and Implementation 定性研究的数据管理与控制：协同课程开发与实施

Journal of escience librarianship Pub Date : 2020-10-09 DOI: 10.7191/jeslib.2020.1185

Kendall Roark

{"title":"Data Management and Curation for Qualitative Research: Collaborative Curriculum Development and Implementation","authors":"Kendall Roark","doi":"10.7191/jeslib.2020.1185","DOIUrl":"https://doi.org/10.7191/jeslib.2020.1185","url":null,"abstract":"Objective: This eScience in Action article describes the collaborative development process and outputs for a qualitative data curation curriculum initiative led by a library faculty (research data specialist) at an R1 research university. Methods: The collaborative curriculum development activities described in this article took place between 2015-2020 and included 1) a college-wide “call out” meeting with graduate methods instructors and additional one-on-one conversations, 2) a year-long training series for disciplinary faculty teaching graduate-level qualitative research methods courses, 3) guest lectures and co-curricular workshops, and 4) the development of a credit-bearing graduate-level course. Results: This practice-based article includes a reflection on the collaborative curriculum development process and impacts, including the development of networks between the Library and qualitative researchers across campus. The article provides a proof-of-concept example for developing relevant and trustworthy library data services for humanities and qualitative social-science researchers. Conclusions: Curriculum development activities focused predominately upon researcher-centered perspectives and identified needs. However, changes in institutional expectations for library faculty (i.e. requirement to teach credit-bearing courses) played a major role in how the curriculum was implemented, its impact and continued sustainability of outputs going forward.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46685638","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}

引用次数: 0

Dinner and Data Management: Engaging undergraduates in research data management topics outside of the curriculum 晚餐和数据管理：让本科生参与课程之外的研究数据管理主题

Journal of escience librarianship Pub Date : 2020-09-10 DOI: 10.7191/jeslib.2020.1176

Cameron Cook, Tobin Magle, Heather Shimon, Trisha Adamus

{"title":"Dinner and Data Management: Engaging undergraduates in research data management topics outside of the curriculum","authors":"Cameron Cook, Tobin Magle, Heather Shimon, Trisha Adamus","doi":"10.7191/jeslib.2020.1176","DOIUrl":"https://doi.org/10.7191/jeslib.2020.1176","url":null,"abstract":"Researchers are faced with unprecedented challenges due to the size and complexity of data, and libraries are stepping in to help by providing guidance on research data management primarily to graduate students and faculty. Currently, many universities are encouraging an undergraduate research experience where students engage in research projects in the classroom and in research labs, yet research data management is often not included as part of these opportunities. At UW-Madison, we piloted researchERS (Emerging Research Scholars), a program for undergraduates from all disciplines to learn data management skills. Focusing on core concepts as well as data ethics, reproducibility, and research workflows, the format of the program included seven evening workshops, two networking events, and one field trip. Each workshop invited campus and community speakers relevant to the workshop’s theme as a way to introduce the students to the network of available resources and data expertise and provided food for attendees. The workshops also built in customized activities to show students how to incorporate best practices into their work. Local businesses provided a tour of their facilities as well as a talk on how they leverage data. This paper will describe this program as well as the benefits and drawbacks of tailoring a research data management program toward undergraduates.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46368930","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}

引用次数: 2

Testing Our Assumptions: Preliminary Results from the Data Curation Network 检验我们的假设:来自数据管理网络的初步结果

Journal of escience librarianship Pub Date : 2020-09-09 DOI: 10.7191/jeslib.2020.1186

Elizabeth Coburn, L. Johnston

{"title":"Testing Our Assumptions: Preliminary Results from the Data Curation Network","authors":"Elizabeth Coburn, L. Johnston","doi":"10.7191/jeslib.2020.1186","DOIUrl":"https://doi.org/10.7191/jeslib.2020.1186","url":null,"abstract":"Objective: Data curation is becoming widely accepted as a necessary component of data sharing. Yet, as there are so many different types of data with various curation needs, the Data Curation Network (DCN) project anticipated that a collaborative approach to data curation across a network of repositories would expand what any single institution might offer alone. Now, halfway through a three-year implementation phase, we’re testing our assumptions using one year of data from the DCN. Methods: Ten institutions participated in the implementation phase of a shared staffing model for curating research data. Starting on January 1, 2019, for 12 months we tracked the number, file types, and disciplines represented in data sets submitted to the DCN. Participating curators were matched to data sets based on their self-reported curation expertise. Aspects such as curation time, level of satisfaction with the assignment, and lack of appropriate expertise in the network were tracked and analyzed. Results: Seventy-four data sets were submitted to the DCN in year one. Seventy-one of them were successfully curated by DCN curators. Each curation assignment takes 2.4 hours on average, and data sets take a median of three days to pass through the network. By analyzing the domain and file types of first- year submissions, we find that our coverage is well represented across domains and that our capacity is higher than the demand, but we also observed that the higher volume of data containing software code relied on certain curator expertise more often than others, creating potential unbalance. Conclusions: The data from year one of the DCN pilot have verified key assumptions about our collaborative approach to data curation, and these results have raised additional questions about capacity, equitable use of network resources, and sustained growth that we hope to answer by the end of this implementation phase.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41623171","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}

引用次数: 1

Open Data and Open Access Articles: Exploring Connections in the Life Sciences 开放数据和开放获取文章:探索生命科学中的联系

Journal of escience librarianship Pub Date : 2020-09-09 DOI: 10.7191/jeslib.2020.1184

Sarah C. Williams

{"title":"Open Data and Open Access Articles: Exploring Connections in the Life Sciences","authors":"Sarah C. Williams","doi":"10.7191/jeslib.2020.1184","DOIUrl":"https://doi.org/10.7191/jeslib.2020.1184","url":null,"abstract":"Objectives: This small-scale study explores the current state of connections between open data and open access (OA) articles in the life sciences. Methods: This study involved 44 openly available life sciences datasets from the Illinois Data Bank that had 45 related research articles. For each article, I gathered the OA status of the journal and the article on the publisher website and checked whether the article was openly available via Unpaywall and Research Gate. I also examined how and where the open data was included in the HTML and PDF versions of the related articles. Results: Of the 45 articles studied, less than half were published in Gold/Full OA journals, and while the remaining articles were published in Gold/Hybrid journals, none of them were OA. This study found that OA articles pointed to the Illinois Data Bank datasets similarly to all of the related articles, most commonly with a data availability statement containing a DOI. Conclusions: The findings indicate that Gold OA in hybrid journals does not appear to be a popular option, even for articles connected to open data, and this study emphasizes the importance of data repositories providing DOIs, since the related articles frequently used DOIs to point to the Illinois Data Bank datasets. This study also revealed concerns about free (not licensed OA) access to articles on publisher websites, which will be a significant topic for future research.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44417696","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}

引用次数: 0

Why You Need Soft and Non-Technical Skills for Successful Data Librarianship 为什么成功的数据图书馆需要软技能和非技术技能

Journal of escience librarianship Pub Date : 2020-05-11 DOI: 10.7191/jeslib.2020.1183

M. Henderson

引用次数: 2

Curriculum Data Deep Dive: Identifying Data Literacies in the Disciplines 课程数据深潜:识别学科中的数据素养

Journal of escience librarianship Pub Date : 2020-02-01 DOI: 10.7191/jeslib.2020.1169

Chrissy Klenke, Teresa Auch Schultz, Rayla E. Tokarz, Elena S. Azadbakht

{"title":"Curriculum Data Deep Dive: Identifying Data Literacies in the Disciplines","authors":"Chrissy Klenke, Teresa Auch Schultz, Rayla E. Tokarz, Elena S. Azadbakht","doi":"10.7191/jeslib.2020.1169","DOIUrl":"https://doi.org/10.7191/jeslib.2020.1169","url":null,"abstract":"Objective: Evaluate and examine Data Literacy (DL) in the supported disciplines of four liaison librarians at a large research university. Methods: Using a framework developed by Prado and Marzal (2013), the study analyzed 378 syllabi from a two-year period across six departments—Criminal Justice, Geography, Geology, Journalism, Political Science, and Sociology—to see which classes included DLs. Results: The study was able to determine which classes hit on specific DLs and where those classes might need more support in other DLs. The most common DLs being taught in courses are Reading, Interpreting, and Evaluating Data, and Using Data. The least commonly taught are Understanding Data and Managing Data skills. Conclusions: While all disciplines touched on data in some way, there is clear room for librarians to support DLs in the areas of Understanding Data and Managing Data. Correspondence: Chrissy Klenke: cklenke@unr.edu Received: June 29, 2019 Accepted: October 3, 2019 Published: February 3, 2020 Copyright: © 2020 Klenke, Schultz, Tokarz, and Azadbakht. This is an open access article licensed under the terms of the Creative Commons Attribution License. Data Availability: Data associated with this article is shareable upon request. Disclosures: The authors report no conflict of interest. Full-Length Paper Curriculum Data Dive: Identifying Data Literacies in the Disciplines Christina M. Klenke, Teresa Auch Schultz, Rayla E. Tokarz, and Elena Azadbakht University of Nevada, Reno, Reno, NV, USA","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42180471","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}

引用次数: 3

Special Issue: 2019 Research Data Access and Preservation Summit 特刊:2019年研究数据存取与保存峰会

Journal of escience librarianship Pub Date : 2020-01-08 DOI: 10.7191/jeslib.2019.1182

Tina Griffin, Rebekah Kati, A. Krzton, Lora C. Leligdon

引用次数: 0