Article
Multidisciplinary Sciences
Leho Tedersoo, Rainer Kungas, Ester Oras, Kajar Koster, Helen Eenmaa, Ali Leijen, Margus Pedaste, Marju Raju, Anastasiya Astapova, Heli Lukner, Karin Kogermann, Tuul Sepp
Summary: The study found that while data sharing has improved over the past decade, differences in data availability and willingness to share data still exist among different disciplines. It is recommended to incentivize researchers to share data through benefits such as recognition and rewards, with funding agencies covering data management costs and enforcing data sharing surveillance.
Editorial Material
Multidisciplinary Sciences
Jeffrey M. Perkel
Summary: Specialists provide seven tips for effectively sharing data.
Article
Computer Science, Information Systems
Nushrat Khan, Mike Thelwall, Kayvan Kousha
Summary: This study investigates differences and commonalities in data production, sharing, and reuse across various academic disciplines. The findings suggest that data sharing and reuse are increasing but not widespread in any subject area, and experienced researchers are more likely to engage in these practices. The types of data produced and the methods of sharing vary significantly between disciplines. Researchers' feedback provided recommendations for improving data access, usability, and awareness of data sharing and reuse.
ONLINE INFORMATION REVIEW
(2023)
Editorial Material
Health Care Sciences & Services
Ioana A. Cristea, Florian Naudet, Laura Caquelin
Summary: Data sharing is becoming increasingly important in science, but there is a lack of focus on data sharing in metaresearch. It is necessary to improve and evaluate data sharing practices in metaresearch and provide tailored recommendations for improvement.
JOURNAL OF CLINICAL EPIDEMIOLOGY
(2022)
Review
Biochemistry & Molecular Biology
Marine Djaffardjy, George Marchment, Clemence Sebe, Raphael Blanchet, Khalid Bellajhame, Alban Gaignard, Frederic Lemoine, Sarah Cohen-Boulakia
Summary: Data analysis pipelines are established as an effective means for bioinformatics data analysis and experiments. However, scripting languages are not sufficient for building large-scale pipelines capable of handling big data and running on high performance computing clusters. Scientific workflow systems provide modular, reproducible, and reusable solutions for bioinformatics data analysis pipelines.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2023)
Article
Biology
Dylan G. E. Gomes, Patrice Pottier, Robert Crystal-Ornelas, Emma J. Hudgins, Vivienne Foroughirad, Luna L. Sanchez-Reyes, Rachel Turba, Paula Andrea Martinez, David Moreau, Michael G. Bertram, Cooper A. Smout, Kaitlyn M. Gaynor
Summary: The biological sciences community recognizes the importance of open, reproducible, and transparent research practices. However, researchers face barriers in sharing their data and code, including knowledge barriers, concerns about reuse, and misaligned career incentives. By identifying and addressing these barriers, we can promote open science goals.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2022)
Article
Economics
Dinithi N. Jayasekara
Summary: Recent studies have found that agricultural legacies can influence cultural formation and individual preferences for modern technology. Societies historically cultivating low labor-intensive crops tend to have more favorable attitudes towards technology, while societies growing labor-intensive crops lean towards collectivist norms and show lower affinity for technology.
ECONOMIC MODELLING
(2021)
Article
Information Science & Library Science
Helena Cousijn, Ted Habermann, Elizabeth Krznarich, Alice Meadows
Summary: Data sharing is crucial for open science as it promotes replicability and reusability of scientific discoveries. Providing context through associated resources and outputs is essential for achieving FAIR data. Examples of such resources include data management plans, instruments, samples, and software, which receive strong community support. Using PIDs and metadata helps identify and connect relevant resources, giving researchers access to not only the data but also the connected resources for complete replication, understanding, and reuse of previously acquired data.
LEARNED PUBLISHING
(2022)
Article
Computer Science, Interdisciplinary Applications
Yongmei Bai, Jian Du
Summary: Health research, driven by data, is crucial. However, only a small percentage of health data is cited in scientific publications. The level of data sharing and reuse varies across diseases, and the reuse of scientific data is a complex behavior.
Article
Economics
Laia Pujol Priego, Jonathan Wareham, Angelo Kenneth S. Romasanta
Summary: This study explores how researchers from different fields share their data and identifies the barriers and facilitators of data sharing. The findings suggest that scientific communities can use modularity, time delay, and boundary organizations to overcome barriers to data sharing.
INDUSTRY AND INNOVATION
(2022)
Article
Environmental Studies
Troy J. Bouffard, Ekaterina Uryupova, Klaus Dodds, Vladimir E. Romanovsky, Alec P. Bennett, Dmitry Streletskiy
Summary: The Arctic is increasingly important in understanding climate change impacts, and scientific cooperation requires data sharing, which is currently limited in the case of permafrost. Lack of unified research collaboration between nations hinders comprehensive understanding of permafrost, impacting the effectiveness of preparation and policy development.
Article
Health Care Sciences & Services
Tania Pereira, Joana Morgado, Francisco Silva, Michele M. Pelter, Vasco Rosa Dias, Rita Barros, Claudia Freitas, Eduardo Negrao, Beatriz Flor de Lima, Miguel Correia da Silva, Antonio J. Madureira, Isabel Ramos, Venceslau Hespanhol, Jose Luis Costa, Antonio Cunha, Helder P. Oliveira
Summary: Artificial intelligence (AI) has revolutionized many aspects of our world, including healthcare, but the limitations in collecting and accessing medical data due to socioeconomic, technical, and legal restrictions pose challenges. Collaborative efforts from various sectors are needed to explore alternative solutions to overcome these limitations and build large datasets for developing healthcare solutions.
Article
Computer Science, Information Systems
Karin Hansson, Anna Dahlgren
Summary: This article investigates the possibilities and constraints of image data sharing in open research data repositories, revealing limitations in design that do not meet the detailed metadata needs of image researchers. Additionally, the study shows that these tools are primarily used for promoting researcher personas rather than sharing research data.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Hong Jiao, Yuhong Qiu, Xiaowei Ma, Bo Yang
Summary: This study investigated the citation practices associated with data papers and explored the role of data papers in disseminating scientific datasets. The findings suggest that data papers are gaining attention and recognition as both publications and data sources, with a steady increase in both the number of biomedical data journals and data paper citations for data utilization. The increasing proportion of datasets reported in data papers for analytical purposes highlights the distinct value of data papers in facilitating the dissemination and reuse of datasets to support novel research.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
(2023)
Article
Multidisciplinary Sciences
Devan Ray Donaldson, Joshua Wolfgang Koepke
Summary: Data sharing can accelerate scientific discovery and increase return on investment, but scientists have limited knowledge about data repositories and data management. Through focus group discussions, researchers identified desired repository features and called for increased utilization in the research community.
Review
Public, Environmental & Occupational Health
Erica G. Bromley, Folasade P. May, Lisa Federer, Brennan M. R. Spiegel, Martijn G. H. van Oijen
PREVENTIVE MEDICINE
(2015)
Article
Multidisciplinary Sciences
Lisa M. Federer, Christopher W. Belter, Douglas J. Joubert, Alicia Livinski, Ya-Ling Lu, Lissa N. Snyders, Holly Thompson
Article
Multidisciplinary Sciences
Lisa M. Federer
Summary: The adoption of journal policies requiring authors to include a Data Availability Statement has increased the availability of research data. This study extracted URLs and DOIs from Data Availability Statements in PLOS ONE papers and found that 80% of the resources could be retrieved automatically. Manual testing of a subset of URLs and DOIs showed retrieval rates of 78% and 98% respectively. Having a DOI and being shared in a repository were positively associated with availability. These findings highlight the importance of including URLs and DOIs in Data Availability Statements.
Article
Information Science & Library Science
Rebecca Reznik-Zellen, Alexander J. Carroll, Eileen G. Harrington, Douglas James Joubert, Tyler Nix, Kristine M. Alpi
JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION
(2020)
Editorial Material
Information Science & Library Science
Katherine G. Akers, Kevin B. Read, Liz Amos, Lisa M. Federer, Ayaba Logan, T. Scott Plutchak
JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION
(2019)
Article
Information Science & Library Science
Lisa Federer
JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION
(2018)
Review
Rheumatology
Yossra Suliman, Sachin Srinivasan, Mary S. Maish, Lisa M. Federer, Daniel E. Furst
JOURNAL OF SCLERODERMA AND RELATED DISORDERS
(2016)
Article
Information Science & Library Science
Lisa M. Federer, Ya-Ling Lu, Douglas J. Joubert
JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION
(2016)
Article
Information Science & Library Science
Lisa Federer
JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION
(2013)
Meeting Abstract
Gastroenterology & Hepatology
Erica G. Bromley, Folasade P. May, Lisa Federer, Brennan M. Spiegel, Martijn G. van Oijen
Meeting Abstract
Clinical Neurology
Anil V. Yallapragada, Amrit S. Ahluwalia, Lisa Federer, Jeffrey L. Saver
Article
Information Science & Library Science
Douglas J. Joubert, Tamera P. Lee
JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION
(2007)