Journal of escience librarianship最新文献

Ethical considerations in utilizing artificial intelligence for analyzing the NHGRI's History of Genomics and Human Genome Project archives. 利用人工智能分析 NHGRI 的基因组学历史和人类基因组计划档案的伦理考虑。

Journal of escience librarianship Pub Date : 2024-03-01 Epub Date: 2024-03-05 DOI: 10.7191/jeslib.811

Mohammad Hosseini, Spencer Hong, Kristi Holmes, Kris Wetterstrand, Christopher Donohue, Luis A Nunes Amaral, Thomas Stoeger

{"title":"Ethical considerations in utilizing artificial intelligence for analyzing the NHGRI's History of Genomics and Human Genome Project archives.","authors":"Mohammad Hosseini, Spencer Hong, Kristi Holmes, Kris Wetterstrand, Christopher Donohue, Luis A Nunes Amaral, Thomas Stoeger","doi":"10.7191/jeslib.811","DOIUrl":"10.7191/jeslib.811","url":null,"abstract":"Understanding \"how to optimize the production of scientific knowledge\" is paramount to those who support scientific research-funders as well as research institutions-to the communities served, and to researchers. Structured archives can help all involved to learn what decisions and processes help or hinder the production of new knowledge. Using artificial intelligence (AI) and large language models (LLMs), we recently created the first structured digital representation of the historic archives of the National Human Genome Research Institute (NHGRI), part of the National Institutes of Health. This work yielded a digital knowledge base of entities, topics, and documents that can be used to probe the inner workings of the Human Genome Project, a massive international public-private effort to sequence the human genome, and several of its offshoots like The Cancer Genome Atlas (TCGA) and the Encyclopedia of DNA Elements (ENCODE). The resulting knowledge base will be instrumental in understanding not only how the Human Genome Project and genomics research developed collaboratively, but also how scientific goals come to be formulated and evolve. Given the diverse and rich data used in this project, we evaluated the ethical implications of employing AI and LLMs to process and analyze this valuable archive. As the first computational investigation of the internal archives of a massive collaborative project with multiple funders and institutions, this study will inform future efforts to conduct similar investigations while also considering and minimizing ethical challenges. Our methodology and risk-mitigating measures could also inform future initiatives in developing standards for project planning, policymaking, enhancing transparency, and ensuring ethical utilization of artificial intelligence technologies and large language models in archive exploration.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11566842/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142650015","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

The Creative Urge 创作的冲动

Journal of escience librarianship Pub Date : 2023-12-12 DOI: 10.7191/jeslib.859

R. Raboin

引用次数: 0

Title Pending 740 待定标题740

Journal of escience librarianship Pub Date : 2023-10-13 DOI: 10.7191/jeslib.740

Joanna Thielen, Wanda Marsolek, Mikala Narlock

{"title":"Title Pending 740","authors":"Joanna Thielen, Wanda Marsolek, Mikala Narlock","doi":"10.7191/jeslib.740","DOIUrl":"https://doi.org/10.7191/jeslib.740","url":null,"abstract":"The pressure to do things quickly is a constant in our professional lives as data curators. But what if we slowed down our work? Taking inspiration from the Slow Movement and its various sub-genres, we propose the idea of Slow Curation, specifically for the application of curating research data. Data curation is the process of reviewing datasets to prepare them for sharing, use, and reuse. We have identified areas where Slow can be embraced in the Data Curation Network’s CURATE(D) model. We also advocate for a few ways, outside of curation, where data curators can collaboratively advocate for Slowing down our work for the better. Join us as we practice radical self-care and advocate for our communities by embracing Slow and easing our way out of Busy culture.Positionality Statements:All authors are employed at large and wealthy doctoral granting institutions in the United States. Their identities and experiences have directly informed and influenced this piece.Joanna is a cisgender, white, heterosexual, able bodied female.&nbsp;Wanda is a white gender non-conforming queer, able bodied person who is a first generation undergraduate and graduate college studentMikala is a cisgender, white, heterosexual, able bodied female.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135805196","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

A Problem Shared Is a Community Created: Recommendations for Cross-Institutional Collaborations. 共同的问题就是共同的创造：跨机构合作建议》。

Journal of escience librarianship Pub Date : 2023-01-01 Epub Date: 2023-12-20 DOI: 10.7191/jeslib.754

Marla Hertz, Kelsey Badger, Lena Bohman, Lucy Carr Jones, Christine Nieman Hislop, Katy Smith, Hao Ye

{"title":"A Problem Shared Is a Community Created: Recommendations for Cross-Institutional Collaborations.","authors":"Marla Hertz, Kelsey Badger, Lena Bohman, Lucy Carr Jones, Christine Nieman Hislop, Katy Smith, Hao Ye","doi":"10.7191/jeslib.754","DOIUrl":"10.7191/jeslib.754","url":null,"abstract":"Committee work is a requisite job function for many in academia, yet designing a productive collaborative experience often remains a challenge. In this article, we reflect on our experiences as part of a successful cross-institutional working group and describe strategies to improve leadership structure, group dynamics, accountability, and incentives for collaborative projects. As of January 2023, the National Institutes of Health (NIH) Data Management & Sharing (DMS) Policy requires investigators applying for funding to submit a Data Management and Sharing Plan (DMS Plan) that describes how scientific data will be managed, preserved, and shared. In response to this new policy, a community of more than 30 librarians and other research data professionals convened the Working Group on NIH DMSP Guidance, collaboratively producing comprehensive guidance about the policy for researchers and research support staff. In less than a year, the working group produced glossaries of NIH and data management jargon, an example data management and sharing plan, a directory of existing example plans, checklists for researchers and librarians, and an interactive repository finder. This group was a successful grassroots effort by contributors with diverse expertise and backgrounds. We discuss practical strategies for each stage of activity throughout the lifecycle of the working group; from recruiting members, designing pathways to encourage participation from busy professionals, structuring the meetings to facilitate progress and productivity, and disseminating final products broadly. We invite fellow librarians, data professionals, and academics to apply and build upon these strategies to tackle cross-institutional challenges.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"12 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11376480/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141984","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

Train the Teacher: Practical guidance for effective, critical teaching approaches for science and data librarians 培训教师：科学和数据图书馆员有效、批判性教学方法的实践指导

Journal of escience librarianship Pub Date : 2022-09-01 DOI: 10.7191/jeslib.617

Megan M. Bresnahan, Dianne N. Brown

引用次数: 1

Migrating a Journal Platform: Stars Wars and a New Future 迁移期刊平台：星球大战与新未来

Journal of escience librarianship Pub Date : 2022-09-01 DOI: 10.7191/jeslib.630

R. Raboin

引用次数: 0

Birds, Groundhogs, and Squirrels 鸟、土拨鼠和松鼠

Journal of escience librarianship Pub Date : 2022-05-12 DOI: 10.7191/jeslib.2022.1239

R. Raboin

引用次数: 0

Taking the TU Delft Carpentries Workshops Online 代尔夫特理工大学木工工作室在线

Journal of escience librarianship Pub Date : 2022-05-09 DOI: 10.7191/jeslib.2022.1221

E. Plomp, Emmy Tsang, Paula M. Martinez Lavanchy

引用次数: 0

Depositing Data: A Usability Study of the Texas Data Repository 存储数据:德克萨斯数据存储库的可用性研究

Journal of escience librarianship Pub Date : 2022-05-09 DOI: 10.7191/jeslib.2022.1233

Zhihong Xu, J. Watts, Sarah Bankston, Laura Sare

{"title":"Depositing Data: A Usability Study of the Texas Data Repository","authors":"Zhihong Xu, J. Watts, Sarah Bankston, Laura Sare","doi":"10.7191/jeslib.2022.1233","DOIUrl":"https://doi.org/10.7191/jeslib.2022.1233","url":null,"abstract":"Objective: The purpose of this study is to examine the usability of the Texas Data Repository (TDR) for the data depositors who are unfamiliar with its interface and use the results to improve user experience.\u0000\u0000Methods: This mixed-method research study collected qualitative and quantitative data through a pre-survey, a task-oriented usability test with a think-aloud protocol, and an exit questionnaire. Analysis of the quantitative (i.e., descriptive statistics) and qualitative data (e.g., content analysis of the thinking-aloud protocols) were employed to examine the TDR’s usability for first-time data depositors at Texas A&M University.\u0000\u0000Results: While the study revealed that the users were generally satisfied with their experience, the data suggest that a majority of the participants had difficulty understanding the difference between a dataverse collection and dataset, and often found adding or editing metadata overwhelming. The platform’s tiered model for metadata description is core to its function, but many participants did not have an accurate mental model of the platform, which left them scrolling up and down the page or jumping back and forth between different tabs and pages to perform a single task. Based on the results, the authors made some recommendations.\u0000\u0000Conclusions: While this paper relies heavily on the context of the Harvard Dataverse repository platform, the authors posit that any self-deposit model, regardless of platform, could benefit from these recommendations. We noticed that completing various metadata fields in the TDR required participants to pivot their mindset from a data creator to that of a data curator. Moreover, the methods used to investigate the usability of the repository can be used to develop additional studies in a variety of repository and service model contexts.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43391782","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

Translating Liaison Librarians to the Scientific Community 翻译联络图书馆员到科学界

Journal of escience librarianship Pub Date : 2022-03-08 DOI: 10.7191/jeslib.2022.1229

J. Atkins, Kelsey Badger, Claire Jordan, H. G. Nelsen, Katerina Ozment, Olivia Young

{"title":"Translating Liaison Librarians to the Scientific Community","authors":"J. Atkins, Kelsey Badger, Claire Jordan, H. G. Nelsen, Katerina Ozment, Olivia Young","doi":"10.7191/jeslib.2022.1229","DOIUrl":"https://doi.org/10.7191/jeslib.2022.1229","url":null,"abstract":"Objective: This study explores the root causes that undermine successful collaborations between scientists and their library liaisons to improve outreach to this population.\u0000\u0000Methods: This paper uses the Five Whys Technique to explore the reasons why many scientists are unaware of the breadth of services offered by liaison librarians. Existing outreach strategies that address these obstacles are interpreted through the lens of implementation science theories and process models, including Normalization Process Theory.\u0000\u0000Results: A total of four recommendations—two for liaison librarians and two for libraries as institutions—are provided to enhance the perceived value of liaison services. The recommendations for individuals include aiming to understand scientists’ needs more comprehensively and actively increasing the visibility of services that respond to those needs. Those for libraries focus on cross-functional teams and new forms of assessment.\u0000\u0000Conclusions: These recommendations emphasize the benefits of collaboration to liaisons, to library programs at large, and to the faculty that liaisons serve. Implementation science can help librarians to understand why certain outreach strategies bring success, and how new services can be implemented more effectively.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42840611","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