Big data in contemporary electron microscopy: challenges and opportunities in data transfer, compute and management. Poger, D., Yen, L., & Braet, F. Histochemistry and cell biology, 160(3):169–192, September, 2023.
Big data in contemporary electron microscopy: challenges and opportunities in data transfer, compute and management [link]Paper  doi  abstract   bibtex   
The second decade of the twenty-first century witnessed a new challenge in the handling of microscopy data. Big data, data deluge, large data, data compliance, data analytics, data integrity, data interoperability, data retention and data lifecycle are terms that have introduced themselves to the electron microscopy sciences. This is largely attributed to the booming development of new microscopy hardware tools. As a result, large digital image files with an average size of one terabyte within one single acquisition session is not uncommon nowadays, especially in the field of cryogenic electron microscopy. This brings along numerous challenges in data transfer, compute and management. In this review, we will discuss in detail the current state of international knowledge on big data in contemporary electron microscopy and how big data can be transferred, computed and managed efficiently and sustainably. Workflows, solutions, approaches and suggestions will be provided, with the example of the latest experiences in Australia. Finally, important principles such as data integrity, data lifetime and the FAIR and CARE principles will be considered.
@article{poger_big_2023,
	title = {Big data in contemporary electron microscopy: challenges and opportunities in data transfer, compute and management},
	volume = {160},
	copyright = {cc by},
	issn = {1432-119X},
	shorttitle = {Big data in contemporary electron microscopy},
	url = {https://europepmc.org/articles/PMC10492738},
	doi = {10.1007/s00418-023-02191-8},
	abstract = {The second decade of the twenty-first century witnessed a new challenge in the handling of microscopy data. Big data, data deluge, large data, data compliance, data analytics, data integrity, data interoperability, data retention and data lifecycle are terms that have introduced themselves to the electron microscopy sciences. This is largely attributed to the booming development of new microscopy hardware tools. As a result, large digital image files with an average size of one terabyte within one single acquisition session is not uncommon nowadays, especially in the field of cryogenic electron microscopy. This brings along numerous challenges in data transfer, compute and management. In this review, we will discuss in detail the current state of international knowledge on big data in contemporary electron microscopy and how big data can be transferred, computed and managed efficiently and sustainably. Workflows, solutions, approaches and suggestions will be provided, with the example of the latest experiences in Australia. Finally, important principles such as data integrity, data lifetime and the FAIR and CARE principles will be considered.},
	language = {eng},
	number = {3},
	urldate = {2023-09-18},
	journal = {Histochemistry and cell biology},
	author = {Poger, David and Yen, Lisa and Braet, Filip},
	month = sep,
	year = {2023},
	pmid = {37052655},
	pmcid = {PMC10492738},
	keywords = {Best Practices, Best practices, FAIR and CARE principles, Fair And Care Principles, Metadata Standards, Metadata standards, Microscopy Facility, Microscopy facility, Virtual Research Environment, Virtual research environment, Workflow Optimisation, Workflow optimisation},
	pages = {169--192},
}

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