Quantifying the use of bioresources for promoting their sharing in scientific research
Tóm tắt
An increasing portion of biomedical research relies on the use of biobanks and databases. Sharing of such resources is essential for optimizing knowledge production. A major obstacle for sharing bioresources is the lack of recognition for the efforts involved in establishing, maintaining and sharing them, due to, in particular, the absence of adequate tools. Increasing demands on biobanks and databases to improve access should be complemented with efforts of end-users to recognize and acknowledge these resources. An appropriate set of tools must be developed and implemented to measure this impact. To address this issue we propose to measure the use in research of such bioresources as a value of their impact, leading to create an indicator: Bioresource Research Impact Factor (BRIF). Key elements to be assessed are: defining obstacles to sharing samples and data, choosing adequate identifier for bioresources, identifying and weighing parameters to be considered in the metrics, analyzing the role of journal guidelines and policies for resource citing and referencing, assessing policies for resource access and sharing and their influence on bioresource use. This work allows us to propose a framework and foundations for the operational development of BRIF that still requires input from stakeholders within the biomedical community.
Tài liệu tham khảo
Yu Y, Zhu Z: Significance of biological resources collection and tumour tissue bank creation. World J Gastrointest Oncol. 2010, 2: 5-8.
Kaye J: From single biobanks to international networks: developing e-governance. Hum Genet. 2011, 130: 377-382. 10.1007/s00439-011-1063-0.
Walport M, Brest P: Sharing research data to improve public health. Lancet. 2011, 377: 537-539. 10.1016/S0140-6736(10)62234-9.
Altshuler JS, Balogh E, Barker AD, Eck SL, Friend SH, Ginsburg GS, Herbst RS, Nass SJ, Streeter CM, Wagner JA: Opening up to precompetitive collaboration. Sci Transl Med. 2010, 2: 52cm26-10.1126/scitranslmed.3001515.
The Wellcome Trust - Sharing research data to improve public health: joint statement of purpose.http://www.wellcome.ac.uk/publichealthdata.
Knoppers BM, Harris JR, Tasse AM, Budin-Ljosne I, Kaye J, Deschenes M, Zawati MH: Towards a data sharing Code of Conduct for international genomic research. Genome Med. 2011, 3: 46-10.1186/gm262.
Sherry ST, Ward MH, Kholodov M, Baker J, Phan L, Smigielski EM, Sirotkin K: dbSNP: the NCBI database of genetic variation. Nucleic Acids Res. 2001, 29: 308-311. 10.1093/nar/29.1.308.
Kaye J, Heeney C, Hawkins N, De Vries J, Boddington P: Data sharing in genomics—re-shaping scientific practice. Nat Rev Genet. 2009, 10: 331-335. 10.1038/nrg2573.
Editorial: The scientific social network. Nat Med. 2011, 17: 137-
Alsheikh-Ali AA, Qureshi W, Al-Mallah MH, Ioannidis JPA: Public Availability of Published Research Data in High-Impact Journals. PLoS One. 2011, 6: e24357-10.1371/journal.pone.0024357.
Savage CJ, Vickers AJ: Empirical Study of Data Sharing by Authors Publishing in PLoS Journals. PLoS One. 2009, 4: e7078-10.1371/journal.pone.0007078.
Kaye J: Building a foundation for biobanking: the, 2009 OECD guidelines on human biobanks and genetic research databases (HBGRDs). Eur J Health Law. 2010, 2010 (17): 187-190.
Cambon-Thomsen A: Assessing the impact of biobanks. Nat Genet. 2003, 34: 25-26.
Cambon-Thomsen A: The social and ethical issues of post-genomic human biobanks. Nat Rev Genet. 2004, 5: 866-873.
Cambon-Thomsen A, Thorisson GA, Mabile L: The role of a bioresource research impact factor as an incentive to share human bioresources. Nat Genet. 2011, 43: 503-504. 10.1038/ng.831.
The Bioresource Research Impact Factor (BRIF) working group.http://www.gen2phen.org/groups/brif-bio-resource-impact-factor.
Garfield E: The history and meaning of the journal impact factor. JAMA. 2006, 295: 90-93. 10.1001/jama.295.1.90.
Paskin N: E-citations: actionable identifiers and scholarly referencing. Learned Publishing. 2000, 13: 159-166. 10.1087/09531510050145308.
Kauffmann F, Cambon-Thomsen A: Tracing biological collections - Between books and clinical trials. JAMA. 2008, 299: 2316-2318. 10.1001/jama.299.19.2316.
DataCite.http://www.datacite.org.
CrossRef.http://www.crossref.org/.
Digital Object Identifier (DOI).http://www.doi.org/.
Vadakkeparambil S: DOIs and ISRCTN records – Improving permanency of clinical research.http://blogs.biomedcentral.com/bmcblog/2012/12/19/dois-and-isrctn-records-improving-permanency-of-clinical-research/.
Thorisson GA: Accreditation and attribution in data sharing. Nat Biotechnol. 2009, 27: 984-985.
Fenner M: Some thoughts on principles for scientific attribution.http://blogs.plos.org/mfenner/2010/10/28/some-thoughts-on-principles-for-scientific-attribution/.
Open Researcher & Contributor ID ORCID.http://orcid.org.
Fenner M: ORCID: unique identifiers for authors and contributors. Info Standards Quaterly. 2011, 23: 10-13.http://dx.doi.org/10.3789/isqv23n3.2011.03.
International Committee of Medical Journal Editors (ICMJE).http://www.icmje.org.
Joly Y, Zeps N, Knoppers BM: Genomic databases access agreements: legal validity and possible sanctions. Hum Genet. 2011, 130: 441-449. 10.1007/s00439-011-1044-3.
BioSharing.http://biosharing.org/.
Legal protection: databases - Europa.http://europa.eu/legislation_summaries/internal_market/businesses/intellectual_property/l26028_en.htm.
Eagle-i.https://www.eagle-i.net/.
BioSHaRE.http://www.bioshare.eu/.
P3G.http://p3g.org/.
Biobanques.http://www.crbfrance.fr/.
Peterson J, Campbell J: Marker papers and data citation. Nat Genet. 2010, 42: 919-10.1038/ng1110-919.