التفاصيل البيبلوغرافية
| العنوان: |
MOTHER-DB: A Database for Sharing Nonhuman Ovarian Histology Images. |
| المؤلفون: |
Dietrich SW, Ma W, Ding Y, Watanabe KH, Zelinski MB, Sluka JP |
| المصدر: |
IEEE/ACM transactions on computational biology and bioinformatics [IEEE/ACM Trans Comput Biol Bioinform] 2024 Jul 12; Vol. PP. Date of Electronic Publication: 2024 Jul 12. |
| Publication Model: |
Ahead of Print |
| نوع المنشور: |
Journal Article |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: IEEE Computer Society Country of Publication: United States NLM ID: 101196755 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-9964 (Electronic) Linking ISSN: 15455963 NLM ISO Abbreviation: IEEE/ACM Trans Comput Biol Bioinform Subsets: MEDLINE |
| أسماء مطبوعة: |
Original Publication: New York, NY : IEEE Computer Society, 2004- |
| مستخلص: |
The goal of the Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) project is to establish a collection of nonhuman ovary histology images for multiple species as a resource for researchers and educators. An important component of sharing scientific data is the inclusion of the contextual metadata that describes the data. MOTHER extends the Ecological Metadata Language (EML) for documenting research data, leveraging its data provenance and usage license with the inclusion of metadata for ovary histology images. The design of the MOTHER metadata includes information on the donor animal, including reproductive cycle status, the slide and its preparation. MOTHER also extends the ezEML tool, called ezEML+MOTHER, for the specification of the metadata. The design of the MOTHER database (MOTHERDB) captures the metadata about the histology images, providing a searchable resource for discovering relevant images. MOTHER also defines a curation process for the ingestion of a collection of images and its metadata, verifying the validity of the metadata before its inclusion in the MOTHER collection. A Web search provides the ability to identify relevant images based on various characteristics in the metadata itself, such as genus and species, using filters. |
| تواريخ الأحداث: |
Date Created: 20240712 Latest Revision: 20240715 |
| رمز التحديث: |
20240715 |
| DOI: |
10.1109/TCBB.2024.3426999 |
| PMID: |
38995706 |
| قاعدة البيانات: |
MEDLINE |
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