You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
Issues in the development of open access to research data
Copyright policy )Issues in the development of open access to research data
This paper explores key issues in the development of open access to research data. The use of digital means for developing, storing and manipulating data is creating a focus on ‘data-driven science’. One aspect of this focus is the development of ‘open access’ to research data. Open access to research data refers to the way in which various types of data are openly available to public and private stakeholders, user communities and citizens. Open access to research data, however, involves more than simply providing easier and wider access to data for potential user groups. The development of open access requires attention to the ways data are considered in different areas of research. We identify how open access is being unevenly developed across the research environment and the consequences this has in terms of generating data gaps. Data gaps refer to the way data becomes detached from published conclusions. To address these issues, we examine four main areas in developing open access to research data: stakeholder roles and values; technological requirements for managing and sharing data; legal and ethical regulations and procedures; institutional roles and policy frameworks. We conclude that problems of variability and consistency across the open access ecosystem need to be addressed within and between these areas to ensure that risks surrounding a data gap are managed in open access. 11 authors. Missing: Sally Wyatt
- Maastricht University Netherlands
- University of Sheffield United Kingdom
- Blekinge Institute of Technology Sweden
- National Academies of Sciences, Engineering, and Medicine United States
- Institute of Atmospheric Pollution Research Italy
Microsoft Academic Graph classification: Focus (computing) Knowledge management business.industry Computer science Data type Consistency (database systems) Development (topology) Data access User group Research environment business Research data
open access, Computer Sciences, Geography, Planning and Development, research data, Interoperability, Open Access, Datavetenskap (datalogi), Open Data, Research Inrastructure, Earth-Surface Processes
open access, Computer Sciences, Geography, Planning and Development, research data, Interoperability, Open Access, Datavetenskap (datalogi), Open Data, Research Inrastructure, Earth-Surface Processes
Microsoft Academic Graph classification: Focus (computing) Knowledge management business.industry Computer science Data type Consistency (database systems) Development (topology) Data access User group Research environment business Research data
6016
American Scientist (2013) Crowdsourcing Astronomy with Galaxy Zoo. American Scientist, available from http://www.americanscientist.org/science/pub/crowdsourcing-astronomywith-galaxy-zoo [accessed February 2014].
Beaulieu, A. and Wouters, P. (2009) 'E-research as intervention' in Jankowski, N. (ed.) E-research: Transformation in Scholarly Practice, Routledge, New York, pp.54-69.
Bigagli, L. and Nativi, S. (eds) (2013) NetCDF Uncertainty Conventions (NetCDF-U). Open Geospatial Consortium, available from https://portal.opengeospatial.org/files/46702 [accessed February 2013]. [OpenAIRE]
Budapest Open Access Initiative (2002) Budapest Open Access Initiative, available at http:// www.soros.org/openaccess [accessed February 2013].
Bulger, M., Meyer, E., de la Flor, G., Terras, M., Wyatt, S., Jirotka, M., Eccles, K. and Madsen, C. (2011) Reinventing Research? Information Practices in the Humanities, Research Information Network, London.
Chan, L., Kirsop, B. and Arunachalam, S. (2011) 'Towards open and equitable access to research and knowledge for development', PLoS Medicine, 8, 3, e1001016.
Clark, S. and Weale, A. (2011) Information Governance in Health: Research Report. Nuffield Trust, available from http://www.nuffieldtrust.org.uk/sites/files/nuffield/information_gover nance_in_health_-_research_report-_aug11.pdf [accessed February 2013].
Corner, A. and Bell, A. (2010) 'There's more to a story than facts and figures', Times Higher Education, 25 November, available from http://www.timeshighereducation.co.uk/story. asp?storycode=414350 [accessed February 2013].
Craglia, M., Nativi, S., Santoro, M., Vaccari, L. and Fugazza, G. (2011) 'Inter-disciplinary interoperability for global sustainability research' in Claramunt, C., Levashkin, S. and Bertolotto, M. (eds) Proceedings of Geos 2011 Conference, Lecture Notes in Computer Science, Springer, Berlin, pp.1-15. [OpenAIRE]
Digital Preservation Coalition. (n.d.) Digital Preservation Handbook, available from http:// www.dpconline.org/advice/preservationhandbook [accessed February 2013].
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).28 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).28 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!- Maastricht University Netherlands
- University of Sheffield United Kingdom
- Blekinge Institute of Technology Sweden
- National Academies of Sciences, Engineering, and Medicine United States
- Institute of Atmospheric Pollution Research Italy
- National Library of the Netherlands Netherlands
- Royal Netherlands Academy of Arts and Sciences (KNAW) Netherlands
- Royal Netherlands Academy of Arts and Sciences Netherlands
- TRILATERAL RESEARCH & CONSULTING LLP United Kingdom
- National Research Council Italy
- STICHTING LIBER Netherlands
This paper explores key issues in the development of open access to research data. The use of digital means for developing, storing and manipulating data is creating a focus on ‘data-driven science’. One aspect of this focus is the development of ‘open access’ to research data. Open access to research data refers to the way in which various types of data are openly available to public and private stakeholders, user communities and citizens. Open access to research data, however, involves more than simply providing easier and wider access to data for potential user groups. The development of open access requires attention to the ways data are considered in different areas of research. We identify how open access is being unevenly developed across the research environment and the consequences this has in terms of generating data gaps. Data gaps refer to the way data becomes detached from published conclusions. To address these issues, we examine four main areas in developing open access to research data: stakeholder roles and values; technological requirements for managing and sharing data; legal and ethical regulations and procedures; institutional roles and policy frameworks. We conclude that problems of variability and consistency across the open access ecosystem need to be addressed within and between these areas to ensure that risks surrounding a data gap are managed in open access. 11 authors. Missing: Sally Wyatt