For Attribution Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop (2012) / Chapter Skim
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Breakout Session on Institutional, Financial, Legal, and Socio-cultural Issues
Breakout Session on Institutional, Financial, Legal, and Socio-cultural Issues
Pages 199-208
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From page 199... ...
Finally, the issue of appraising the value of data versus the costs of curating it remains. External Dependencies that Impact Data Citation In the discussions, there were several major external systems noted that interact with data citation, namely scholarly communication, data sharing, academic work, and data archiving.
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From page 200... ...
One of the discussants noted that there is currently a public relations attack going on about chronic fatigue syndrome that has escalated to threats against personal safety. Within the issues about data sharing are also concerns about incentivizing data reuse to drive demand.
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From page 201... ...
It was observed that institutions will have to deal with the privacy concerns posed by data collection or face liability. There are some extant models of privacy around social science survey data, where the publically aggregated data is anonymized, but more detailed data must be accessed via a controlled process.
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From page 202... ...
, where the raw data may take up a considerable amount of disk space, but it is the processed versions that receive the majority of use. Libraries largely operate on a model of collective action that is based on redundancy, whereas data archives tend to hold data that has no redundancy, and thus the archival paradigm may be more appropriate for modeling selection and appraisal decisions.
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From page 203... ...
Models of Data Citation Some of the participants suggested that the current practices of citing data have yet to coalesce around best practices and standards, so there are outstanding questions about how data citation fits in with data sharing and data publishing. Citation as a scholarly practice and the citation of data within it present a variety of models for best practices.
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license, which receives a fair amount of resistance from depositors. CC0, much like traditional citation practices, relies on norms of scholarship, rather than on legally binding contractual language.
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From page 205... ...
Some studies suggest that the investments in data curation pay for themselves. Other costs discussed by the group included the wasted opportunity costs of reinventing the wheel and redoing the same research because researchers were unaware that the research had already been done, the cost of redundant studies that place people and animals at risk, the cost of toxic experiments such as nuclear experiments, many of which have been accomplished by resifting old data.
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From page 206... ...
There was also some discussion of who was responsible for setting best practices, and domain specific versus institution specific policies and practices. It was noted that since publishing practices center around disciplinary communities, data citation policies will also need to define data citation practices in different disciplines.
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From page 207... ...
There is currently little incentive to cite data because netting citations to data is not considered for most academic tenure and promotion decisions. Usage data has become quite important in other areas of scholarship and leads to impacts beyond the initial usage data.
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From page 208... ...
5. Embargos and Proprietary Periods for Data Embargos, which are also referred to as proprietary periods of exclusive use in some fields, are generally seen as an important tool for protecting data, for protecting postdoctoral researchers and junior faculty, for protecting dissertation work until the derivative publications are finished, and generally for maintaining the primacy of researchers.
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