scholarly journals Researcher attitudes toward data sharing in public data repositories: a meta-evaluation of studies on researcher data sharing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jennifer L. Thoegersen ◽  
Pia Borlund
Keyword(s):  
Data Sharing ◽  
Information Science ◽  
Research Literature ◽  
Data Repository ◽  
Library And Information Science ◽  
Data Repositories ◽  
Content Type ◽  
Address Data ◽  
Public Data ◽  
Term Data

PurposeThe purpose of this paper is to report a study of how research literature addresses researchers' attitudes toward data repository use. In particular, the authors are interested in how the term data sharing is defined, how data repository use is reported and whether there is need for greater clarity and specificity of terminology.Design/methodology/approachTo study how the literature addresses researcher data repository use, relevant studies were identified by searching Library Information Science and Technology Abstracts, Library and Information Science Source, Thomas Reuters' Web of Science Core Collection and Scopus. A total of 62 studies were identified for inclusion in this meta-evaluation.FindingsThe study shows a need for greater clarity and consistency in the use of the term data sharing in future studies to better understand the phenomenon and allow for cross-study comparisons. Furthermore, most studies did not address data repository use specifically. In most analyzed studies, it was not possible to segregate results relating to sharing via public data repositories from other types of sharing. When sharing in public repositories was mentioned, the prevalence of repository use varied significantly.Originality/valueResearchers' data sharing is of great interest to library and information science research and practice to inform academic libraries that are implementing data services to support these researchers. This study explores how the literature approaches this issue, especially the use of data repositories, the use of which is strongly encouraged. This paper identifies the potential for additional study focused on this area.

Internet researchers’ data sharing behaviors

2018 ◽  
Vol 42 (1) ◽  
pp. 124-142 ◽  
Author(s):  
Youngseek Kim ◽  
Seungahn Nah
Keyword(s):  
Social Norms ◽  
Data Sharing ◽  
Positive Impact ◽  
Scientific Data ◽  
Data Reuse ◽  
Equation Modeling ◽  
Data Repository ◽  
Data Repositories ◽  
Content Type ◽  
And Behaviors

Purpose The purpose of this paper is to examine how data reuse experience, attitudinal beliefs, social norms, and resource factors influence internet researchers to share data with other researchers outside their teams. Design/methodology/approach An online survey was conducted to examine the extent to which data reuse experience, attitudinal beliefs, social norms, and resource factors predicted internet researchers’ data sharing intentions and behaviors. The theorized model was tested using a structural equation modeling technique to analyze a total of 201 survey responses from the Association of Internet Researchers mailing list. Findings Results show that data reuse experience significantly influenced participants’ perception of benefit from data sharing and participants’ norm of data sharing. Belief structures regarding data sharing, including perceived career benefit and risk, and perceived effort, had significant associations with attitude toward data sharing, leading internet researchers to have greater data sharing intentions and behavior. The results also reveal that researchers’ norms for data sharing had a direct effect on data sharing intention. Furthermore, the results indicate that, while the perceived availability of data repository did not yield a positive impact on data sharing intention, it has a significant, direct, positive impact on researchers’ data sharing behaviors. Research limitations/implications This study validated its novel theorized model based on the theory of planned behavior (TPB). The study showed a holistic picture of how different data sharing factors, including data reuse experience, attitudinal beliefs, social norms, and data repositories, influence internet researchers’ data sharing intentions and behaviors. Practical implications Data reuse experience, attitude toward and norm of data sharing, and the availability of data repository had either direct or indirect influence on internet researchers’ data sharing behaviors. Thus, professional associations, funding agencies, and academic institutions alike should promote academic cultures that value data sharing in order to create a virtuous cycle of reciprocity and encourage researchers to have positive attitudes toward/norms of data sharing; these cultures should be strengthened by the strong support of data repositories. Originality/value In line with prior scholarship concerning scientific data sharing, this study of internet researchers offers a map of scientific data sharing intentions and behaviors by examining the impacts of data reuse experience, attitudinal beliefs, social norms, and data repositories together.

scholarly journals mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Ravi Mathur ◽  
Megan U. Carnes ◽  
Alexander Harding ◽  
Amy Moore ◽  
Ian Thomas ◽  
...  
Keyword(s):  
Data Integration ◽  
Data Sharing ◽  
Complex Disease ◽  
Chronic Fatigue ◽  
Research Community ◽  
Research Network ◽  
Data Repository ◽  
Data Repositories ◽  
Public Data ◽  
Data Portal

Abstract Background Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease which involves multiple body systems (e.g., immune, nervous, digestive, circulatory) and research domains (e.g., immunology, metabolomics, the gut microbiome, genomics, neurology). Despite several decades of research, there are no established ME/CFS biomarkers available to diagnose and treat ME/CFS. Sharing data and integrating findings across these domains is essential to advance understanding of this complex disease by revealing diagnostic biomarkers and facilitating discovery of novel effective therapies. Methods The National Institutes of Health funded the development of a data sharing portal to support collaborative efforts among an initial group of three funded research centers. This was subsequently expanded to include the global ME/CFS research community. Using the open-source comprehensive knowledge archive network (CKAN) framework as the base, the ME/CFS Data Management and Coordinating Center developed an online portal with metadata collection, smart search capabilities, and domain-agnostic data integration to support data findability and reusability while reducing the barriers to sustainable data sharing. Results We designed the mapMECFS data portal to facilitate data sharing and integration by allowing ME/CFS researchers to browse, share, compare, and download molecular datasets from within one data repository. At the time of publication, mapMECFS contains data curated from public data repositories, peer-reviewed publications, and current ME/CFS Research Network members. Conclusions mapMECFS is a disease-specific data portal to improve data sharing and collaboration among ME/CFS researchers around the world. mapMECFS is accessible to the broader research community with registration. Further development is ongoing to include novel systems biology and data integration methods.

scholarly journals mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites

2021 ◽  
Author(s):  
Ravi Mathur ◽  
Megan U. Carnes ◽  
Alexander Harding ◽  
Amy Moore ◽  
Ian Thomas ◽  
...  
Keyword(s):  
Data Integration ◽  
Data Sharing ◽  
Complex Disease ◽  
Chronic Fatigue ◽  
Research Community ◽  
Data Repository ◽  
Data Repositories ◽  
Fatigue Syndrome ◽  
Public Data ◽  
Data Portal

Abstract Background Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease which involves multiple body systems (e.g., immune, nervous, digestive, circulatory) and research domains (e.g., immunology, metabolomics, the gut microbiome, genomics, neurology). Despite several decades of research, there are no established ME/CFS biomarkers available to diagnose and treat ME/CFS. Sharing data and integrating findings across these domains is essential to advance understanding of this complex disease by revealing diagnostic biomarkers and facilitating discovery of novel effective therapies. Methods The National Institutes of Health funded the development of a data sharing portal to support collaborative efforts among an initial group of three funded research centers. This was subsequently expanded to include the global ME/CFS research community. Using the open-source comprehensive knowledge archive network (CKAN) framework as the base, the ME/CFS Data Management and Coordinating Center developed targeted metadata collection, smart search capabilities, and domain-agnostic data integration to support data findability and reusability while reducing the barriers to sustainable data sharing. Results We designed the mapMECFS data portal to facilitate data sharing and integration by allowing ME/CFS researchers to browse, share, compare, and download molecular datasets from within one data repository. At the time of publication, mapMECFS contains data curated from public data repositories, peer-reviewed publications, and current ME/CFS network researchers. Conclusions mapMECFS is a disease-specific data portal to improve data sharing and collaboration among ME/CFS researchers around the world. mapMECFS is accessible to the broader research community with registration. Further development is ongoing to include novel systems biology and data integration methods.

scholarly journals Social science data repositories in data deluge

2017 ◽  
Vol 35 (4) ◽  
pp. 626-649 ◽  
Author(s):  
Wei Jeng ◽  
Daqing He ◽  
Yu Chi
Keyword(s):  
Social Science ◽  
Data Sharing ◽  
Qualitative Data ◽  
Data Curation ◽  
Data Repository ◽  
Science Data ◽  
Data Repositories ◽  
Content Type ◽  
Social Science Data ◽  
Current Practices

Purpose Owing to the recent surge of interest in the age of the data deluge, the importance of researching data infrastructures is increasing. The open archival information system (OAIS) model has been widely adopted as a framework for creating and maintaining digital repositories. Considering that OAIS is a reference model that requires customization for actual practice, this paper aims to examine how the current practices in a data repository map to the OAIS environment and functional components. Design/methodology/approach The authors conducted two focus-group sessions and one individual interview with eight employees at the world’s largest social science data repository, the Interuniversity Consortium for Political and Social Research (ICPSR). By examining their current actions (activities regarding their work responsibilities) and IT practices, they studied the barriers and challenges of archiving and curating qualitative data at ICPSR. Findings The authors observed that the OAIS model is robust and reliable in actual service processes for data curation and data archives. In addition, a data repository’s workflow resembles digital archives or even digital libraries. On the other hand, they find that the cost of preventing disclosure risk and a lack of agreement on the standards of text data files are the most apparent obstacles for data curation professionals to handle qualitative data; the maturation of data metrics seems to be a promising solution to several challenges in social science data sharing. Originality/value The authors evaluated the gap between a research data repository’s current practices and the adoption of the OAIS model. They also identified answers to questions such as how current technological infrastructure in a leading data repository such as ICPSR supports their daily operations, what the ideal technologies in those data repositories would be and the associated challenges that accompany these ideal technologies. Most importantly, they helped to prioritize challenges and barriers from the data curator’s perspective and to contribute implications of data sharing and reuse in social sciences.

Data, Open Science and libraries – The Data Deluge Column

2016 ◽  
Vol 33 (8) ◽  
pp. 11-16 ◽  
Author(s):  
Donna Ellen Frederick
Keyword(s):  
Information Science ◽  
Open Data ◽  
Open Science ◽  
Library And Information Science ◽  
Science Literature ◽  
Data Repositories ◽  
Content Type ◽  
Data Services ◽  
Research Libraries ◽  
The Past

Purpose For those immersed in the environment of academic and research libraries, the word “data” seems to be everywhere. One hears about linked data, big data, open data, proprietary data, research data, metadata, geospatial data, data repositories, etc. Design/methodology/approach Some libraries even have data librarians and data services departments. Findings The author of this column wonders if she were to collect all of the library and information science literature published in the past three years and plug it into a word cloud app, which of the two, i.e. “data” or “books”, would be displayed in a larger font. Originality/value The author suspects that the chances are more than good that “data” would come out on top.

scholarly journals Chances and challenges of a long-term data repository in multiple sclerosis: 20th birthday of the German MS registry

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lisa-Marie Ohle ◽  
David Ellenberger ◽  
Peter Flachenecker ◽  
Tim Friede ◽  
Judith Haas ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Sociodemographic Factors ◽  
Healthcare Research ◽  
Structure Design ◽  
Data Repository ◽  
Research Projects ◽  
Real World Data ◽  
Data Repositories ◽  
Term Data

AbstractIn 2001, the German Multiple Sclerosis Society, facing lack of data, founded the German MS Registry (GMSR) as a long-term data repository for MS healthcare research. By the establishment of a network of participating neurological centres of different healthcare sectors across Germany, GMSR provides observational real-world data on long-term disease progression, sociodemographic factors, treatment and the healthcare status of people with MS. This paper aims to illustrate the framework of the GMSR. Structure, design and data quality processes as well as collaborations of the GMSR are presented. The registry’s dataset, status and results are discussed. As of 08 January 2021, 187 centres from different healthcare sectors participate in the GMSR. Following its infrastructure and dataset specification upgrades in 2014, more than 196,000 visits have been recorded relating to more than 33,000 persons with MS (PwMS). The GMSR enables monitoring of PwMS in Germany, supports scientific research projects, and collaborates with national and international MS data repositories and initiatives. With its recent pharmacovigilance extension, it aligns with EMA recommendations and helps to ensure early detection of therapy-related safety signals.

scholarly journals The concept of neutrality: a new approach

2019 ◽  
Vol 76 (1) ◽  
pp. 333-353 ◽  
Author(s):  
Stephen Macdonald ◽  
Briony Birdi
Keyword(s):  
Literature Review ◽  
Design Methodology ◽  
Information Science ◽  
Social Institutions ◽  
Future Research ◽  
Library And Information Science ◽  
New Approach ◽  
Content Type ◽  
Normative Framework ◽  
Contextual Awareness

Purpose Neutrality is a much debated value in library and information science (LIS). The “neutrality debate” is characterised by opinionated discussions in contrasting contexts. The purpose of this paper is to fill a gap in the literature by bringing these conceptions together holistically, with potential to deepen understanding of LIS neutrality. Design/methodology/approach First, a literature review identified conceptions of neutrality reported in the LIS literature. Second, seven phenomenographic interviews with LIS professionals were conducted across three professional sectors. To maximise variation, each sector comprised at least one interview with a professional of five or fewer years’ experience and one with ten or more years’ experience. Third, conceptions from the literature and interviews were compared for similarities and disparities. Findings In four conceptions, each were found in the literature and interviews. In the literature, these were labelled: “favourable”, “tacit value”, “social institutions” and “value-laden profession”, whilst in interviews they were labelled: “core value”, “subservient”, “ambivalent”, and “hidden values”. The study’s main finding notes the “ambivalent” conception in interviews is not captured by a largely polarised literature, which oversimplifies neutrality’s complexity. To accommodate this complexity, it is suggested that future research should look to reconcile perceptions from either side of the “neutral non-neutral divide” through an inclusive normative framework. Originality/value This study’s value lies in its descriptive methodology, which brings LIS neutrality together in a holistic framework. This framework brings a contextual awareness to LIS neutrality lacking in previous research. This awareness has the potential to change the tone of the LIS neutrality debate.

Scientific literacy, librarians and information literacy in the post-truth era

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Donna Ellen Frederick
Keyword(s):  
Climate Change ◽  
Scientific Literacy ◽  
Information Needs ◽  
Information Science ◽  
Library And Information Science ◽  
Cost Information ◽  
Content Type ◽  
Science Degree ◽  
Self Image ◽  
Professional Self

Purpose The purpose of this paper is to challenge librarians to reconceptualize their professional self-image and practice so that it more closely aligns with the information science discipline that is part of the Masters of Library and Information Science degree. Design/methodology/approach This column is primarily theoretical and philosophical but also draws on the author’s observations of trends and patterns in both librarianship and changes in information needs in recent years. Findings Urgent, high-cost information needs created by COVID-19 and climate change coexist in a reality where technological change has made traditional librarian roles and functions less critical. By developing their information science skills and strengthening their professional identity as information scientists, librarians have the opportunity to address the urgent information needs of the day while remaining highly relevant professionals. Practical implications Librarians will need to strengthen their science-related skills and knowledge and begin to promote themselves as information scientists. Social implications Librarians are in a position to make a meaningful contribution to two of the most pressing challenges of the day, climate change and dealing with the COVID-19 pandemic. Originality/value This paper is relevant to all librarians at any stage of their career. It will help them to reflect on both their skillset and career path and to make any needed adjustments so that they can remain relevant in a volatile and demanding information environment.

A secondary analysis of the library profession’s self-reported competence and comfort in working with patrons with disabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
JJ Pionke
Keyword(s):  
Graduate School ◽  
Information Science ◽  
Secondary Analysis ◽  
Assistive Technologies ◽  
Library And Information Science ◽  
Published Data ◽  
Content Type ◽  
Current State ◽  
Practical Implications ◽  
The Continuum

PurposeThis article presents a secondary analysis of previously published data in order to drive discussion of the library profession’s current state of preparedness in working with patrons with disabilities.Design/methodology/approachThis article used a secondary analysis of survey data that have been previously published to determine what the continuum of data said about the current state of preparedness in the profession when working with people with disabilities.FindingsA comparison of the data from both surveys reveals that there are not only gaps in library graduate school education related to disability and accessibility but also that those gaps are not being addressed through professional development and staff training after students enter the workforce.Research limitations/implicationsThis was a secondary analysis of data, so no new data could be added. There was also no representation from library graduate school administration.Practical implicationsAn awareness is built that there needs to be more instruction for library graduate students and library employees on topics related to disability, accessibility and assistive technologies.Originality/valueThe topic has never been studied before in this kind of continuum of data, and the use of the secondary analysis of data with the library and information science profession is exceedingly rare.

Journal packing density of library and information science research journals at the global level: a study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ramesh Pandita ◽  
Shivendra Singh
Keyword(s):  
Packing Density ◽  
Information Science ◽  
Science Research ◽  
Research Articles ◽  
Library And Information Science ◽  
Global Level ◽  
Content Type ◽  
Journal Publishing ◽  
Research Journal ◽  
The Usa

Purpose This study aims to find out the average journal packing density (JPD) of Library and Information Science (LIS) research journals published across the world. The concept, JPD, means the average number of research articles published by a research journal in one volume. Accordingly, the undergoing study evaluates the average number of research articles published in each volume of each research journal published in the field of LIS at the global level. Some other key aspects evaluated include the number of LIS research journal publishing countries, average JPD of LIS research journals at the continental level, etc. Design/methodology/approach This study is purely based on secondary data retrieved from SCImago, which is SCOPUS data. Keeping in view the objectives of this study, the data about research articles published in all LIS research journals during the period 2015 through 2019 were retrieved to undertake the study. Findings From the data analysis, it emerged that 256 research journals duly indexed by SCOPUS are published in the field of LIS across 36 countries. In all 48,596 research articles were published from 2015 to 2019 in these research journals at an average of 44.71 research articles per journal per volume. More than 75% of LIS research journals are published from Germany, Spain, Netherlands, the USA and the UK. Research journals published from the USA have higher JPD of 53.09 research articles per journal per volume, which is 18.74% higher than the average global JPD of LIS research journals. 50% of LIS research journal publishing countries are from Europe and the majority 52.55% LIS research articles were published in European LIS research journals. The average JPD of LIS research journals published from North America is 51.73 research articles per journal per volume, which is the highest across continents. Research limitations/implications Standardization of JPD of research journals irrespective of the subject discipline they are published in is important for many reasons and the foremost being, such standardization helps in keeping at bay the predatory research journals, which normally float such packing density norms, with the sole aim to earn money in the shape of manuscript handling charges, thereby publishing a far greater number of research article in each issue of a journal than the average research articles published by a research journal. Originality/value Very few studies have been conducted around the concept JPD, especially by the authors of this particular study. This study has however been particularized to the LIS subject discipline, while the findings add to existing lot of study already undertaken, hence outcome can be generalized.

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