Pub Date : 2019-12-23DOI: 10.7191/jeslib.2019.1173
A. Gofman
Objective: This paper compares the pedagogical theory driving current norms towards instruction of novices in both fields, specifically focusing on The Carpentries and ACRL Framework instruction. I identify key areas of difference in theoretical and practical approaches towards education of learners entirely new to a topic, focusing on a choice to pursue constructivist or experiential learning versus providing direct instructional guidance. Methods: Two case studies are explored through the lens of the Dreyfus Model of learning for their theoretical underpinnings for engaging novice learners: the ACRL Framework and Carpentries’ Instructor Training. Results: Applying the Dreyfus Model of learning and cognitive load theory shows theoretical benefits to direct instructional guidance over constructivist or minimally guided instruction. Conclusions: The ACRL Framework and Carpentries workshops share teaching goals of creating new mental models and core skills to support future learning, but differ in their pedagogical approaches. For novice learners of information literacy, there may be value in considering a more guided approach. Concrete lesson-planning strategies are proposed. Correspondence: Ari Gofman: ari.gofman@tufts.edu
{"title":"A Carpentries Approach to ACRL Framework Instruction","authors":"A. Gofman","doi":"10.7191/jeslib.2019.1173","DOIUrl":"https://doi.org/10.7191/jeslib.2019.1173","url":null,"abstract":"Objective: This paper compares the pedagogical theory driving current norms towards instruction of novices in both fields, specifically focusing on The Carpentries and ACRL Framework instruction. I identify key areas of difference in theoretical and practical approaches towards education of learners entirely new to a topic, focusing on a choice to pursue constructivist or experiential learning versus providing direct instructional guidance. Methods: Two case studies are explored through the lens of the Dreyfus Model of learning for their theoretical underpinnings for engaging novice learners: the ACRL Framework and Carpentries’ Instructor Training. Results: Applying the Dreyfus Model of learning and cognitive load theory shows theoretical benefits to direct instructional guidance over constructivist or minimally guided instruction. Conclusions: The ACRL Framework and Carpentries workshops share teaching goals of creating new mental models and core skills to support future learning, but differ in their pedagogical approaches. For novice learners of information literacy, there may be value in considering a more guided approach. Concrete lesson-planning strategies are proposed. Correspondence: Ari Gofman: ari.gofman@tufts.edu","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41831140","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 : 2019-12-23DOI: 10.7191/jeslib.2019.1172
Timothy B. Norris, Christoph Mader
The curation and preservation of scientific data has long been recognized as an essential activity for the reproducibility of science and the advancement of knowledge. While investment into data curation for specific disciplines and at individual research institutions has advanced the ability to preserve research data products, data curation for big interdisciplinary science remains relatively unexplored terrain. To fill this lacunae, this article presents a case study of the data curation for the National Centers for Coastal Ocean Science (NCCOS) funded project “Understanding Coral Ecosystem Connectivity in the Gulf of Mexico-Pulley Ridge to the Florida Keys” undertaken from 2011 to 2018 by more than 30 researchers at several research institutions. The data curation process is described and a discussion of strengths, weaknesses and lessons learned is presented. Major conclusions from this case study include: the reimplementation of data repository infrastructure builds valuable institutional data curation knowledge but may not meet data curation standards and best practices; data from big interdisciplinary science can be considered as a special collection with the implication that metadata takes the form of a finding aid or catalog of datasets within the larger project context; and there are opportunities for data curators and librarians to synthesize and integrate results across disciplines and to create exhibits as stories that emerge from interdisciplinary big science. Correspondence: Timothy B. Norris: tnorris@miami.edu
{"title":"Data Curation for Big Interdisciplinary Science: The Pulley Ridge Experience","authors":"Timothy B. Norris, Christoph Mader","doi":"10.7191/jeslib.2019.1172","DOIUrl":"https://doi.org/10.7191/jeslib.2019.1172","url":null,"abstract":"The curation and preservation of scientific data has long been recognized as an essential activity for the reproducibility of science and the advancement of knowledge. While investment into data curation for specific disciplines and at individual research institutions has advanced the ability to preserve research data products, data curation for big interdisciplinary science remains relatively unexplored terrain. To fill this lacunae, this article presents a case study of the data curation for the National Centers for Coastal Ocean Science (NCCOS) funded project “Understanding Coral Ecosystem Connectivity in the Gulf of Mexico-Pulley Ridge to the Florida Keys” undertaken from 2011 to 2018 by more than 30 researchers at several research institutions. The data curation process is described and a discussion of strengths, weaknesses and lessons learned is presented. Major conclusions from this case study include: the reimplementation of data repository infrastructure builds valuable institutional data curation knowledge but may not meet data curation standards and best practices; data from big interdisciplinary science can be considered as a special collection with the implication that metadata takes the form of a finding aid or catalog of datasets within the larger project context; and there are opportunities for data curators and librarians to synthesize and integrate results across disciplines and to create exhibits as stories that emerge from interdisciplinary big science. Correspondence: Timothy B. Norris: tnorris@miami.edu","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48096029","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 : 2019-12-23DOI: 10.7191/jeslib.2019.1174
A. Krzton
Biodiversity research that informs conservation action is increasingly data intensive. Cutting-edge projects at large institutions use massive aggregated datasets to build dynamic models and conduct novel analyses of natural systems. Most of these research institutions are geographically distant from the highest-priority conservation areas, which are found in South America, Africa, and Southeast Asia. There, data is typically collected by or with the help of local residents hired as field assistants. These field assistants have few meaningful opportunities to participate in biodiversity research and conservation beyond data logging. The literature indicates the data revolution has increased demand for impersonal and integrated large-scale systems that aggregate biodiversity data across sources with minimal friction. In this study, interviews were conducted with six active conservation workers to identify elements of these data systems that create barriers to field assistants’ engagement with the projects they make possible. As both creators and consumers of data, all six relayed frustration with various aspects of their data workflows. Regarding field assistant interaction with digital data systems, they observed that their field assistants engaged only at the initial point of data entry or not at all. Some suggested mobile apps as a good solution for field data collection. Correspondence: Ali Krzton: alk0043@auburn.edu
{"title":"Data Infrastructure and Local Stakeholder Engagement with Biodiversity Conservation Research","authors":"A. Krzton","doi":"10.7191/jeslib.2019.1174","DOIUrl":"https://doi.org/10.7191/jeslib.2019.1174","url":null,"abstract":"Biodiversity research that informs conservation action is increasingly data intensive. Cutting-edge projects at large institutions use massive aggregated datasets to build dynamic models and conduct novel analyses of natural systems. Most of these research institutions are geographically distant from the highest-priority conservation areas, which are found in South America, Africa, and Southeast Asia. There, data is typically collected by or with the help of local residents hired as field assistants. These field assistants have few meaningful opportunities to participate in biodiversity research and conservation beyond data logging. The literature indicates the data revolution has increased demand for impersonal and integrated large-scale systems that aggregate biodiversity data across sources with minimal friction. In this study, interviews were conducted with six active conservation workers to identify elements of these data systems that create barriers to field assistants’ engagement with the projects they make possible. As both creators and consumers of data, all six relayed frustration with various aspects of their data workflows. Regarding field assistant interaction with digital data systems, they observed that their field assistants engaged only at the initial point of data entry or not at all. Some suggested mobile apps as a good solution for field data collection. Correspondence: Ali Krzton: alk0043@auburn.edu","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46341880","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 : 2019-12-23DOI: 10.7191/jeslib.2019.1166
C. Llebot, S. Van Tuyl
Objective: Best practices such as the FAIR Principles (Findability, Accessibility, Interoperability, Reusability) were developed to ensure that published datasets are reusable. While we employ best practices in the curation of datasets, we want to learn how domain experts view the reusability of datasets in our institutional repository, ScholarsArchive@OSU. Curation workflows are designed by data curators based on their own recommendations, but research data is extremely specialized, and such workflows are rarely evaluated by researchers. In this project we used peer-review by domain experts to evaluate the reusability of the datasets in our institutional repository, with the goal of informing our curation methods and ensure that the limited resources of our library are maximizing the reusability of research data. Methods: We asked all researchers who have datasets submitted in Oregon State University’s repository to refer us to domain experts who could review the reusability of their data sets. Two data curators who are non-experts also reviewed the same datasets. We gave both groups review guidelines based on the guidelines of several journals. Eleven domain experts and two data curators reviewed eight datasets. The review included the quality of the repository record, the quality of the documentation, and the quality of the data. We then compared the comments given by the two groups. Correspondence: Clara Llebot: clara.llebot@oregonstate.edu
{"title":"Peer Review of Research Data Submissions to ScholarsArchive@OSU: How can we improve the curation of research datasets to enhance reusability?","authors":"C. Llebot, S. Van Tuyl","doi":"10.7191/jeslib.2019.1166","DOIUrl":"https://doi.org/10.7191/jeslib.2019.1166","url":null,"abstract":"Objective: Best practices such as the FAIR Principles (Findability, Accessibility, Interoperability, Reusability) were developed to ensure that published datasets are reusable. While we employ best practices in the curation of datasets, we want to learn how domain experts view the reusability of datasets in our institutional repository, ScholarsArchive@OSU. Curation workflows are designed by data curators based on their own recommendations, but research data is extremely specialized, and such workflows are rarely evaluated by researchers. In this project we used peer-review by domain experts to evaluate the reusability of the datasets in our institutional repository, with the goal of informing our curation methods and ensure that the limited resources of our library are maximizing the reusability of research data. Methods: We asked all researchers who have datasets submitted in Oregon State University’s repository to refer us to domain experts who could review the reusability of their data sets. Two data curators who are non-experts also reviewed the same datasets. We gave both groups review guidelines based on the guidelines of several journals. Eleven domain experts and two data curators reviewed eight datasets. The review included the quality of the repository record, the quality of the documentation, and the quality of the data. We then compared the comments given by the two groups. Correspondence: Clara Llebot: clara.llebot@oregonstate.edu","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46688240","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 : 2019-12-18DOI: 10.7191/jeslib.2019.1168
Kristin Lee, Thea Atwood
Objective: The objective of this article is to report on the process and effectiveness of a workshop presented at the Research Data Access and Preservation Summit 2019. Reporting back on how the workshop was developed and the impact it had on participants can inform future workshops on writing for librarians. Workshop materials are available in an associated OSF project. Methods: The authors approached workshop development holistically—that writing is a craft that requires habits and networks, and that participants are interested in hearing the technical guidelines of writing and submitting an article. The workshop dedicated time to activities meant to build a plan for writing. Data presented in this article was collected using Qualtrics, and is reported on in aggregate. Participants responded to the survey before the workshop started and after the conclusion of the workshop. Results: Participants reported that the workshop gave them a plan for how to move forward with transforming their presentation or poster into an article, and that they generally felt more empowered to write. Conclusions: This article suggests that it is important to provide an avenue for authors to develop professionally around writing. Attendees were eager for an opportunity to develop their writing, and to learn more about the opaque processes related to publishing an article, like how double -blind peer-review works and the different types of articles. The authors hope that others can reuse the materials presented at the workshop and provide more avenues of professional development for librarians and library professionals. Correspondence: Kristin Lee: kristin.lee@tufts.edu
{"title":"Writing With Librarians: Reporting Back on Turning Your Poster or Presentation Into an Article","authors":"Kristin Lee, Thea Atwood","doi":"10.7191/jeslib.2019.1168","DOIUrl":"https://doi.org/10.7191/jeslib.2019.1168","url":null,"abstract":"Objective: The objective of this article is to report on the process and effectiveness of a workshop presented at the Research Data Access and Preservation Summit 2019. Reporting back on how the workshop was developed and the impact it had on participants can inform future workshops on writing for librarians. Workshop materials are available in an associated OSF project. Methods: The authors approached workshop development holistically—that writing is a craft that requires habits and networks, and that participants are interested in hearing the technical guidelines of writing and submitting an article. The workshop dedicated time to activities meant to build a plan for writing. Data presented in this article was collected using Qualtrics, and is reported on in aggregate. Participants responded to the survey before the workshop started and after the conclusion of the workshop. Results: Participants reported that the workshop gave them a plan for how to move forward with transforming their presentation or poster into an article, and that they generally felt more empowered to write. Conclusions: This article suggests that it is important to provide an avenue for authors to develop professionally around writing. Attendees were eager for an opportunity to develop their writing, and to learn more about the opaque processes related to publishing an article, like how double -blind peer-review works and the different types of articles. The authors hope that others can reuse the materials presented at the workshop and provide more avenues of professional development for librarians and library professionals. Correspondence: Kristin Lee: kristin.lee@tufts.edu","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45381168","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 : 2019-12-18DOI: 10.7191/jeslib.2019.1167
Joanna Thielen, Amy Neeser
{"title":"How You Can Write More Inclusive Data Practitioner Job Postings","authors":"Joanna Thielen, Amy Neeser","doi":"10.7191/jeslib.2019.1167","DOIUrl":"https://doi.org/10.7191/jeslib.2019.1167","url":null,"abstract":"","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"8 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43439803","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 : 2019-12-18DOI: 10.7191/jeslib.2019.1170
Sarah K Oelker
{"title":"A Small Liberal Arts College Librarian at RDAP: Observations on Translating our Work Between Institutions","authors":"Sarah K Oelker","doi":"10.7191/jeslib.2019.1170","DOIUrl":"https://doi.org/10.7191/jeslib.2019.1170","url":null,"abstract":"","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"8 1","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43042592","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 : 2019-12-18DOI: 10.7191/jeslib.2019.1171
S. Farrell, L. Hendrickson, Kristen L. Mastel, K. Allen, J. Kelly
Objective : The objective of this paper is to illustrate the importance and complexities of working with historical analog data that exists on university campuses. Using a case study of fruit breeding data, we highlight issues and opportunities for librarians to help preserve and increase access to potentially valuable data sets. Methods : We worked in conjunction with researchers to inventory, describe, and increase access to a large, 100 - year - old data set of analog fruit breeding data. This involved creating a spreadsheet to capture metadata about each data set, identifying data sets at risk for loss, and digitizing select items for deposit in our institutional repository. Results/Discussion : We illustrate that large amounts of data exist within biological and agricultural sciences departments and labs, and how past practices of data collection, record keeping, storage, and management have hindered data reuse. We demonstrate that librarians have a role in collaborating with researchers and providing direction in how to preserve analog data and make it available for reuse. This work may provide guidance for other science librarians pursuing similar projects. Conclusions : This case study demonstrates how science librarians can build or strengthen their role in managing and providing access to analog data by combining their data management skills with researchers’ needs to recover and reuse data.
{"title":"Resurfacing Historical Scientific Data: A Case Study Involving Fruit Breeding Data","authors":"S. Farrell, L. Hendrickson, Kristen L. Mastel, K. Allen, J. Kelly","doi":"10.7191/jeslib.2019.1171","DOIUrl":"https://doi.org/10.7191/jeslib.2019.1171","url":null,"abstract":"Objective : The objective of this paper is to illustrate the importance and complexities of working with historical analog data that exists on university campuses. Using a case study of fruit breeding data, we highlight issues and opportunities for librarians to help preserve and increase access to potentially valuable data sets. Methods : We worked in conjunction with researchers to inventory, describe, and increase access to a large, 100 - year - old data set of analog fruit breeding data. This involved creating a spreadsheet to capture metadata about each data set, identifying data sets at risk for loss, and digitizing select items for deposit in our institutional repository. Results/Discussion : We illustrate that large amounts of data exist within biological and agricultural sciences departments and labs, and how past practices of data collection, record keeping, storage, and management have hindered data reuse. We demonstrate that librarians have a role in collaborating with researchers and providing direction in how to preserve analog data and make it available for reuse. This work may provide guidance for other science librarians pursuing similar projects. Conclusions : This case study demonstrates how science librarians can build or strengthen their role in managing and providing access to analog data by combining their data management skills with researchers’ needs to recover and reuse data.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44655323","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 : 2019-12-18DOI: 10.7191/jeslib.2019.1178
Ateanna Uriri
{"title":"This is my First One: Finding and Building Community at RDAP Summit 2019","authors":"Ateanna Uriri","doi":"10.7191/jeslib.2019.1178","DOIUrl":"https://doi.org/10.7191/jeslib.2019.1178","url":null,"abstract":"","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"8 1","pages":"6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48783395","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 : 2019-12-18DOI: 10.7191/jeslib.2019.1165
M. Harp, Matt Ogborn
The ASU Library is actively building relationships around and increasing its expertise in research data services. We have established a collaboration with our university’s research administration in order to coordinate our distinct areas of expertise in research data services so that both entities can better support researchers all the way through the research data lifecycle. The Library embedded itself into research administration’s learning management system and works with their research advancement officers to engage with researchers and staff we have not traditionally reached. Forging this new collaboration increased expectations that the Library will expand existing research data services to more investigators, so we have grown Library professionals’ internal competencies by providing research data management training opportunities to meet these demands. In addition, the Library’s Research Services Working Group established data competencies, workflows, and trainings so more librarians gain skills necessary to answer and assist patrons with data needs. Greater expertise throughout the Library enables us to authentically and confidently scale our research data services and form new collaborations. Correspondence: Matthew Harp: mharp@asu.edu
{"title":"Collaborating Externally and Training Internally to Support Research Data Services","authors":"M. Harp, Matt Ogborn","doi":"10.7191/jeslib.2019.1165","DOIUrl":"https://doi.org/10.7191/jeslib.2019.1165","url":null,"abstract":"The ASU Library is actively building relationships around and increasing its expertise in research data services. We have established a collaboration with our university’s research administration in order to coordinate our distinct areas of expertise in research data services so that both entities can better support researchers all the way through the research data lifecycle. The Library embedded itself into research administration’s learning management system and works with their research advancement officers to engage with researchers and staff we have not traditionally reached. Forging this new collaboration increased expectations that the Library will expand existing research data services to more investigators, so we have grown Library professionals’ internal competencies by providing research data management training opportunities to meet these demands. In addition, the Library’s Research Services Working Group established data competencies, workflows, and trainings so more librarians gain skills necessary to answer and assist patrons with data needs. Greater expertise throughout the Library enables us to authentically and confidently scale our research data services and form new collaborations. Correspondence: Matthew Harp: mharp@asu.edu","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49462925","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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