A go to resource for all research collections on the topic of Scholarly Communication.
Big Data is a collection of dataset which is large and complex so that existing data processing tools can not handle it. Big Data is collected and processed using different sources and tools, which leads to privacy issues. Privacy preserving data publishing techniques such as, k-anonymity, l-diversity, t-closeness, etc., are used to de-identify data, but the chance of re-identification is still present as data is collected from multiple sources. Big data is having a characteristic of 3Vs (Volume, Velocity, and Variety), which makes the de-identification task difficult.
We have collected research papers and articles from various journals related to privacy issues in big data, existing privacy preserving data publishing techniques, and privacy preserving big data publishing techniques.The main objective of this collection is to help reader to learn basics of privacy preserving techniques and its application to big data analytics or big data publication.
A collection on Scientific literature on the use of digital tools for science
Information Services and Use is an information and information technology oriented publication with a wide scope of subject matters. International in terms of both audience and authorship, the journal aims at leaders in information management and applications in an attempt to keep them fully informed of fast-moving developments in fields such as: online systems, offline systems, electronic publishing, library automation, education and training, word processing and telecommunications. These areas are treated not only in general, but also in specific contexts; applications to business and scientific fields are sought so that a balanced view is offered to the reader.
A selection of articles on Nanopublications
Data publishing is a practice where data are made public so that they can be reused by others, in accordance with associated policies, while guaranteeing that data provenance and attribution are tracked.
This is a collection of articles related to open access and it's impact on scholarly communication, mostly focused on library science.
Following the rise of Open Access, making datasets available is increasingly becoming a new standard. Open data can ensure validity, and increase the pace of research. Some potential issues include ownership, reuse and storage of open research data. This collection encompases research done on the open data movement.
Authors in this collection discuss how scholarly publishing and communication in science will develop in the 21st century.
Visions of the Research Paper of the Future foresee a FAIR contribution to the record of knowledge, one that is Findable, Accessible, Inspectable/Interoperable, and Reuseable/Reproducible for humans and machines. The metaphor of the 'Paper' in this vision is reconsidered to represent a rich 'compilation' of well-documented research outputs -- narrative, code, data, materials, and methods -- that expose the enitre data-to-publication lifecycle.
This ScienceOpen Collection features papers that contemplate the features and functions of a #FuturePaper, or that represent models and prototypes of this emergent form of research communication.
A collection of studies that have investigated the potential Open Access citation advantage. The majority, to date, have concluded that there is a significant citation advantage for Open Access articles. Much of the data here is sourced from The Open Access Citation Advantage Service, SPARC Europe (accessed August 2017)
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|ScienceOpen disciplines:||Assessment, Evaluation & Research methods, Education & Public policy, Educational research & Statistics, Information & Library science, Communication & Media studies|
|Keywords:||Scholarly Publishing, Future of Research, Citizen Science, Big Data, Research Integrity, Scholarly Communication, Open Science, Science Communication, Library and Information Science, Open Access|