IASSIST quarterly最新文献

{"title":"Reproducibility literature analysis - a federal information professional perspective","authors":"E. Antognoli, R. Avila, J. Sears, L. Christiansen, J. Tieman, Jacquelyn Hart","doi":"10.29173/iq967","DOIUrl":"https://doi.org/10.29173/iq967","url":null,"abstract":"This article examines a cross-section of literature and other resources to reveal common reproducibility issues faced by stakeholders regardless of subject area or focus. We identify a variety of issues named as reproducibility barriers, the solutions to such barriers, and reflect on how researchers and information professionals can act to address the ‘reproducibility crisis.’ The finished products of this work include an annotated list of 122 published resources and a primer that identifies and defines key concepts from the resources that contribute to the crisis.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46110142","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}

{"title":"Learning from data reuse: successful and failed experiences in a large public research university library","authors":"J. Scoulas","doi":"10.29173/iq966","DOIUrl":"https://doi.org/10.29173/iq966","url":null,"abstract":"This paper illustrates a large research university library experience in reusing the data for research collected both within and outside of the library to demonstrate data reuse practice. The purpose of the paper is to 1) demonstrate when and how data are reused in a large public research university library, 2) share tips on what to consider when reusing data, and 3) share challenges and lessons learned from data reuse experiences. This paper presents five proposed opportunities for data reuse conducted by three researchers at the institution’s library which resulted in three successful instances of data reuses and two failed data reuses. Learning from successful and failed experiences is critical to understand what works and what does not work in order to identify best practices for data reuse. This paper will be helpful for librarians who intend to reuse data for publication.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48328845","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}

{"title":"Methods reporting that supports reader confidence for systematic reviews in psychology: assessing the reproducibility of electronic searches and first-level screening decisions.","authors":"P. Fehrmann, M. Mamolen","doi":"10.29173/iq968","DOIUrl":"https://doi.org/10.29173/iq968","url":null,"abstract":"Recent discussions and research in psychology show a significant emphasis on reproducibility. Concerns for reproducibility pertain to methods as well as results. We evaluated the reporting of the electronic search methods used for systematic reviews (SR) published in psychology. Such reports are key for determining the reproducibility of electronic searches. The use of SR has been increasing in psychology, and we report on the status of reporting of electronic searches in recent SR in psychology. \u0000We used 12 checklist items to evaluate reporting for basic electronic strategies. Kappa results for those items developed from evidence-based recommendations ranged from fair to almost perfect. Additionally, using a set of those items to represent a “PRISMA” type of recommended reporting showed that only one of the 25 randomly selected psychology SR from 2009-2012 reported recommended information for all items in the set, and none of the 25 psychology SR from 2014-2016 did so. Using a second less stringent set of items found that only 36% of the psychology SR reported basic information that supports confidence in the reproducibility of electronic searches. Similar results were found for a set of psychology SR published in 2017. \u0000An area for improvements in SR in psychology involves fuller and clearer reporting of the steps used for electronic searches in SR. Such improvements will provide a strong basis for confidence in the reproducibility of searches. That confidence, in turn, can strengthen reader confidence more generally in the results and conclusions reached in SR in psychology.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47970993","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}

{"title":"ReprohackNL 2019: how libraries can promote research reproducibility through community engagement","authors":"K. Hettne, Ricarda K. K. Proppert, L. Nab, L. P. R. Saunero, Daniela Gawehns","doi":"10.31235/osf.io/6f4zv","DOIUrl":"https://doi.org/10.31235/osf.io/6f4zv","url":null,"abstract":"University Libraries play a crucial role in moving towards Open Science, contributing to more transparent, reproducible and reusable research. The Center for Digital Scholarship (CDS) at Leiden University (LU) library is a scholarly lab that promotes open science literacy among Leiden’s scholars by two complementary strategies: existing top-down structures are used to provide training and services, while bottom-up initiatives from the research community are actively supported by offering the CDS’s expertise and facilities. An example of how bottom-up initiatives can blossom with the help of library structures such as the CDS is ReproHack. ReproHack – a reproducibility hackathon – is a grass-root initiative by young scholars with the goal of improving research reproducibility in three ways. First, hackathon attendees learn about reproducibility tools and challenges by reproducing published results and providing feedback to authors on their attempt. Second, authors can nominate their work and receive feedback on their reproducibility efforts. Third, the collaborative atmosphere helps building a community interested in making their own research reproducible. \u0000A first ReproHack in the Netherlands took place on November 30th, 2019, co-organised by the CDS at the LU Library with 44 participants from the fields of psychology, engineering, biomedicine, and computer science. For 19 papers, 24 feedback forms were returned and five papers were reported as successfully reproduced. Besides the researchers’ learning experience, the event led to recommendations on how to enhance research reproducibility. The ReproHack format therefore provides an opportunity for libraries to improve scientific reproducibility through community engagement.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48489831","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}

{"title":"Are we ready to share qualitative research data? Knowledge and preparedness among qualitative researchers, IRB Members, and data repository curators.","authors":"Jessica Mozersky, Heidi Walsh, Meredith Parsons, Tristan McIntosh, Kari Baldwin, James M DuBois","doi":"10.29173/iq952","DOIUrl":"10.29173/iq952","url":null,"abstract":"<p><p>Data sharing maximizes the value of data, which is time and resource intensive to collect. Major funding bodies in the United States (US), like the National Institutes of Health (NIH), require data sharing and researchers frequently share de-identified quantitative data. In contrast, qualitative data are rarely shared in the US but the increasing trend towards data sharing and open science suggest this may be required in future. Qualitative methods are often used to explore sensitive health topics raising unique ethical challenges regarding protecting confidentiality while maintaining enough contextual detail for secondary analyses. Here, we report findings from semi-structured in-depth interviews with 30 data repository curators, 30 qualitative researchers, and 30 IRB staff members to explore their experience and knowledge of QDS. Our findings indicate that all stakeholder groups lack preparedness for QDS. Researchers are the least knowledgeable and are often unfamiliar with the concept of sharing qualitative data in a repository. Curators are highly supportive of QDS, but not all have experienced curating qualitative data sets and indicated they would like guidance and standards specific to QDS. IRB members lack familiarity with QDS although they support it as long as proper legal and regulatory procedures are followed. IRB members and data curators are not prepared to advise researchers on legal and regulatory matters, potentially leaving researchers who have the least knowledge with no guidance. Ethical and productive QDS will require overcoming barriers, creating standards, and changing long held practices among all stakeholder groups.</p>","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":"43 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089584/pdf/nihms-1574365.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37766677","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}

{"title":"Examining barriers for establishing a national data service","authors":"J. Stebe","doi":"10.29173/iq960","DOIUrl":"https://doi.org/10.29173/iq960","url":null,"abstract":"A system for monitoring the current situation of Data Archive Services (DAS) maturity in European countries was developed during the CESSDA Strengthening and Widening in (SaW 2016 and 2017) and further adapted in CESSDA Widening Activities 2018 (WA 2018) projects for continuous monitoring. An assessment of the existing national data sharing culture, the development of the social science sector and its production of high-quality research data, the funders’ research data policy requirements, and the capacity and skills of national grassroots initiatives, provide a framework for understanding the current situation in different countries. Methods used in the projects, included desk research of  existing documents and a survey, combined with extensive interviews focused on the area of expertise of the informants (individuals from data services, research and decision makers’ representatives from each country). The focus of the paper is the situation in 20 non-member CESSDA European countries with emerging and immature DAS initiatives. Results show that countries are slowly but persistently removing the key obstacles in establishing a DAS initiative in their respective countries. The remaining obstacles reside mainly outside the control of the data professional community – namely research funders slowly adopt data sharing policies and incentives for data sharing, including the provision of a sustainable DAS infrastructure, capable of supporting researchers with publishing and accessing research data. The results show that the lack of expertise and skills of DAS initiatives, their understanding of tools and services or organizational settings are not such an issue, as more mature DAS are organising training and mentorship activities. Detailed guidance in the DAS advocacy and planning was prepared in the framework of the above-mentioned pan-European and some past regional projects. The tools and framework of those activities will be referred to in the discussions as a resource that can be used in other countries and continents.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48134530","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}

{"title":"Reproducibility, preservation, and access to research with ReproZip and ReproServer","authors":"V. Steeves, Rémi Rampin, F. Chirigati","doi":"10.31229/osf.io/mgvxq","DOIUrl":"https://doi.org/10.31229/osf.io/mgvxq","url":null,"abstract":"The adoption of reproducibility remains low, despite incentives becoming increasingly common in different domains, conferences, and journals. The truth is, reproducibility is technically difficult to achieve due to the complexities of computational environments. To address these technical challenges, we created ReproZip, an open-source tool that automatically packs research along with all the necessary information to reproduce it, including data files, software, OS version, and environment variables. Everything is then bundled into an rpz file, which users can use to reproduce the work with ReproZip and a suitable unpacker (e.g.: using Vagrant or Docker). The rpz file is general and contains rich metadata: more unpackers can be added as needed, better guaranteeing long-term preservation. However, installing the unpackers can still be burdensome for secondary users of ReproZip bundles. In this paper, we will discuss how ReproZip and our new tool, ReproServer, can be used together to facilitate access to well-preserved, reproducible work. ReproServer is a web application that allows users to upload or provide a link to a ReproZip bundle, and then interact with/reproduce the contents from the comfort of their browser. Users are then provided a persistent link to the unpacked work on ReproServer which they can share with reviewers or colleagues.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49384862","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}

{"title":"As open as possible and as closed as needed","authors":"K. Rasmussen","doi":"10.29173/iq965","DOIUrl":"https://doi.org/10.29173/iq965","url":null,"abstract":"Welcome to the third issue of volume 43 of the IASSIST Quarterly (IQ 43:3, 2019). \u0000Yes, 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.  \u0000The 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. \u0000In 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, t","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44678744","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}

{"title":"Managing data in cross-institutional projects","authors":"Z. Hansen, F. Kruse, J. Thestrup","doi":"10.29173/iq950","DOIUrl":"https://doi.org/10.29173/iq950","url":null,"abstract":"This paper provides guidelines for data management professionals and researchers on how FAIR data usage can help improve the planning, execution and overall success of a cross-institutional project. Cases from Danish cross-institutional projects are detailed to illustrate this point – as well as the lessons learnt with implementing FAIR data principles in such projects. Key learnings from this paper are: \u0000 \u0000Using FAIR data principles in cross-institutional projects can help manage the data used in the project in terms of knowledge sharing, access rights, use of templates, metadata and further sharing the data after the project has ended. \u0000To benefit the most from using FAIR data in a cross-institutional project it should be considered and planned for early in the project process. \u0000If FAIR is not considered early in the project process problems can arise such as a lot of time spent on converting formats, obtaining permissions and assigning metadata. \u0000It is necessary for researchers and research projects to have infrastructure and other services in place which support FAIR data usage. \u0000","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41791231","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}

{"title":"Data archiving for dissemination within a Gulf nation","authors":"B. Mandikiana, Lois Timms-Ferrara, Marc Maynard","doi":"10.29173/iq943","DOIUrl":"https://doi.org/10.29173/iq943","url":null,"abstract":"Since 2008, Qatar University’s Social and Economic Survey Research Institute (SESRI), has been collecting nationally representative survey data on social and economic issues. In 2017, SESRI leadership established an Archiving Unit tasked with data preservation and dissemination both for internal purposes and with the intent of disseminating select data to the public for secondary analysis. \u0000  \u0000This paper reviews the lessons learned from creating a data archive in an emerging economy where both cultural and political sensitivities exist amid varied groups of stakeholders.  Challenges have included recruiting trained personnel, developing policies for data selection and workflow objectives, processing restricted and non-restricted datasets and metadata, data security issues, and promoting usage. Additionally, there is hope that the presence of the Archiving Unit adds value for other SESRI research staff involved in the design, collection, documentation, and processing of studies. After successfully addressing these challenges over the past year, the Archive met its objective to launch a data center at the Institute’s website (http://sesri.qu.edu.qa) and to make multiple datasets available for public download from it. Also, to be discussed are the tools, processes and leveraging of resources that are being implemented as the archiving process continues to evolve.","PeriodicalId":84870,"journal":{"name":"IASSIST quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42416181","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}