scholarly journals EBRAINS Live Papers - Interactive resource sheets for computational studies in neuroscience

2021 ◽  
Author(s):  
Shailesh Appukuttan ◽  
Luca L. Bologna ◽  
Michele Migliore ◽  
Felix Schürmann ◽  
Andrew P. Davison
Keyword(s):  
Data Storage ◽  
Reliable Data ◽  
Knowledge Graph ◽  
Data Provenance ◽  
Computational Studies ◽  
Prominent Feature ◽  
Digital Resources ◽  
Online Platform ◽  
Storage Servers

We present here an online platform for sharing resources underlying publications in neuroscience. It enables authors to easily upload and distribute digital resources, such as data, code, and notebooks, in a structured and systematic way. Interactivity is a prominent feature of the Live Papers, with features to download, visualise or simulate data, models and results presented in the corresponding publications. The resources are hosted on reliable data storage servers to ensure long term availability and easy accessibility. All data are managed via the EBRAINS Knowledge Graph, thereby helping maintain data provenance, and enabling tight integration with tools and services offered under the EBRAINS ecosystem.

Mobile Software Assurance Informed through Knowledge Graph Construction: The OWASP Threat of Insecure Data Storage

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Suzanna Schmeelk ◽  
Lixin Tao
Keyword(s):  
Data Storage ◽  
Program Analysis ◽  
Web Application ◽  
Security Analysis ◽  
Knowledge Graph ◽  
Healthcare Applications ◽  
Sensitive Data ◽  
Knowledge Graphs ◽  
Mobile Malware Detection ◽  
Software Assurance

Many organizations, to save costs, are movinheg to t Bring Your Own Mobile Device (BYOD) model and adopting applications built by third-parties at an unprecedented rate.  Our research examines software assurance methodologies specifically focusing on security analysis coverage of the program analysis for mobile malware detection, mitigation, and prevention.  This research focuses on secure software development of Android applications by developing knowledge graphs for threats reported by the Open Web Application Security Project (OWASP).  OWASP maintains lists of the top ten security threats to web and mobile applications.  We develop knowledge graphs based on the two most recent top ten threat years and show how the knowledge graph relationships can be discovered in mobile application source code.  We analyze 200+ healthcare applications from GitHub to gain an understanding of their software assurance of their developed software for one of the OWASP top ten moble threats, the threat of “Insecure Data Storage.”  We find that many of the applications are storing personally identifying information (PII) in potentially vulnerable places leaving users exposed to higher risks for the loss of their sensitive data.

scholarly journals The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition

GigaScience ◽  
2020 ◽  
Vol 9 (10) ◽  
Author(s):  
Daniel Arend ◽  
Patrick König ◽  
Astrid Junker ◽  
Uwe Scholz ◽  
Matthias Lange
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Best Practice ◽  
Research Process ◽  
Research Data ◽  
Primary Data ◽  
Data Repository ◽  
Plant Genomics ◽  
Quality Of Data

Abstract Background The FAIR data principle as a commitment to support long-term research data management is widely accepted in the scientific community. Although the ELIXIR Core Data Resources and other established infrastructures provide comprehensive and long-term stable services and platforms for FAIR data management, a large quantity of research data is still hidden or at risk of getting lost. Currently, high-throughput plant genomics and phenomics technologies are producing research data in abundance, the storage of which is not covered by established core databases. This concerns the data volume, e.g., time series of images or high-resolution hyper-spectral data; the quality of data formatting and annotation, e.g., with regard to structure and annotation specifications of core databases; uncovered data domains; or organizational constraints prohibiting primary data storage outside institional boundaries. Results To share these potentially dark data in a FAIR way and master these challenges the ELIXIR Germany/de.NBI service Plant Genomic and Phenomics Research Data Repository (PGP) implements a “bring the infrastructure to the data” approach, which allows research data to be kept in place and wrapped in a FAIR-aware software infrastructure. This article presents new features of the e!DAL infrastructure software and the PGP repository as a best practice on how to easily set up FAIR-compliant and intuitive research data services. Furthermore, the integration of the ELIXIR Authentication and Authorization Infrastructure (AAI) and data discovery services are introduced as means to lower technical barriers and to increase the visibility of research data. Conclusion The e!DAL software matured to a powerful and FAIR-compliant infrastructure, while keeping the focus on flexible setup and integration into existing infrastructures and into the daily research process.

Long-Term Stability of Magnetic Tape for Data Storage Under an Accelerated Condition

2016 ◽  
Vol 52 (7) ◽  
pp. 1-4
Author(s):  
Kazutoshi Katayama ◽  
Yuka Chinda ◽  
Osamu Shimizu ◽  
Tatsuo Mikami ◽  
Mayumi Suzuki ◽  
...  
Keyword(s):  
Data Storage ◽  
Magnetic Tape ◽  
Term Stability ◽  
Long Term Stability

scholarly journals Negotiating Use, Persistence, and Archiving: A Study of Academic Research Library and Publisher Perspectives on Licensing Digital Resources

2016 ◽  
Author(s):  
Sharon E. Farb
Keyword(s):  
Academic Libraries ◽  
Academic Research ◽  
Historical Record ◽  
Third Parties ◽  
Research Library ◽  
Fundamental Function ◽  
Digital Collections ◽  
Digital Resources ◽  
Long Term Preservation

Stewardship has always figured predominantly in the mission of libraries. This paper discusses major findings and implications of a study of licensing in U.S. academic libraries. The data suggests that not all libraries are accepting their heritage role - that is, they are not planning for long-term preservation and access for their growing licensed digital collections and resources. Instead they rely increasingly on third parties to perform this fundamental function. This shift may have far-reaching implications for long-term preservation and access to the world's knowledge and cultural and historical record.

scholarly journals A Self-contained and Self-explanatory DNA Storage System

2021 ◽  
Author(s):  
Min Li ◽  
Junbiao Dai ◽  
Qingshan Jiang ◽  
Yang Wang
Keyword(s):  
Data Storage ◽  
Storage System ◽  
Data File ◽  
Data Redundancy ◽  
Dna Storage ◽  
Data Restoration ◽  
Gene Data ◽  
High Uncertainty ◽  
Term Data

Abstract Current research on DNA storage usually focuses on the improvement of storage density with reduced gene synthesis cost by developing effective encoding and decoding schemes while lacking the consideration on the uncertainty in ultra long-term data storage and retention. Consequently, the current DNA storage systems are often not self-containment, implying that they have to resort to external tools for the restoration of the stored gene data. This may result in high risks in data loss since the required tools might not be available due to the high uncertainty in far future. To address this issue, we propose in this paper a self-contained DNA storage system that can make self-explanatory to its stored data without relying on any external tools. To this end, we design a specific DNA file format whereby a separate storage scheme is developed to reduce the data redundancy while an effective indexing is designed for random read operations to the stored data file. We verified through experimental data that the proposed self-contained and self-explanatory method can not only get rid of the reliance on external tools for data restoration but also minimize the data redundancy brought about when the amount of data to be stored reaches a certain scale.

scholarly journals An agenda-setting paper on data sharing platforms: euCanSHare workshop

2021 ◽  
Vol 1 ◽  
pp. 80
Author(s):  
Thijs Devriendt ◽  
Clemens Ammann ◽  
Folkert W. Asselbergs ◽  
Alexander Bernier ◽  
Rodrigo Costas ◽  
...  
Keyword(s):  
Data Sharing ◽  
Data Storage ◽  
Agenda Setting ◽  
Research Agenda ◽  
Data Access ◽  
Medical Data ◽  
Future Research ◽  
Future Research Agenda ◽  
Optimal Functioning

Various data sharing platforms are being developed to enhance the sharing of cohort data by addressing the fragmented state of data storage and access systems. However, policy challenges in several domains remain unresolved. The euCanSHare workshop was organized to identify and discuss these challenges and to set the future research agenda. Concerns over the multiplicity and long-term sustainability of platforms, lack of resources, access of commercial parties to medical data, credit and recognition mechanisms in academia and the organization of data access committees are outlined. Within these areas, solutions need to be devised to ensure an optimal functioning of platforms.

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