Extension of research data repository system to support direct compute access to biomedical datasets: enhancing Dataverse to support large datasets. Issue 1 (10th November 2016)
- Record Type:
- Journal Article
- Title:
- Extension of research data repository system to support direct compute access to biomedical datasets: enhancing Dataverse to support large datasets. Issue 1 (10th November 2016)
- Main Title:
- Extension of research data repository system to support direct compute access to biomedical datasets: enhancing Dataverse to support large datasets
- Authors:
- McKinney, Bill
Meyer, Peter A.
Crosas, Mercè
Sliz, Piotr - Abstract:
- Abstract : Access to experimental X‐ray diffraction image data is important for validation and reproduction of macromolecular models and indispensable for the development of structural biology processing methods. In response to the evolving needs of the structural biology community, we recently established a diffraction data publication system, the StructuralBiology Data Grid (SBDG, data.sbgrid .org), to preserve primary experimental datasets supporting scientific publications. All datasets published through the SBDG are freely available to the research community under a public domain dedication license, with metadata compliant with the DataCite Schema (schema.datacite.org). A proof‐of‐concept study demonstrated community interest and utility. Publication of large datasets is a challenge shared by several fields, and the SBDG has begun collaborating with the Institute for Quantitative Social Science at Harvard University to extend the Dataverse (dataverse.org) open‐source data repository system to structural biology datasets. Several extensions are necessary to support the size and metadata requirements for structural biology datasets. In this paper, we describe one such extension—functionality supporting preservation of file system structure within Dataverse—which is essential for both in‐place computation and supporting non‐HTTP data transfers.
- Is Part Of:
- Annals of the New York Academy of Sciences. Volume 1387:Issue 1(2017)
- Journal:
- Annals of the New York Academy of Sciences
- Issue:
- Volume 1387:Issue 1(2017)
- Issue Display:
- Volume 1387, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 1387
- Issue:
- 1
- Issue Sort Value:
- 2017-1387-0001-0000
- Page Start:
- 95
- Page End:
- 104
- Publication Date:
- 2016-11-10
- Subjects:
- X‐ray diffraction -- research data management system -- RDMS -- Data Access Alliance -- SBGrid -- Dataverse
Medical sciences -- Periodicals
Medicine -- Periodicals
Science -- Periodicals
610 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1749-6632 ↗
http://www.blackwellpublishing.com/journal.asp?ref=0077-8923&site=1 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/nyas.13272 ↗
- Languages:
- English
- ISSNs:
- 0077-8923
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1031.000000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 1986.xml