The continued evolution of data policies will likely be driven by a
number of different issues, including the growing complexity of data
and debates about proper control.
Complexity.
Our capacity to generate data sometimes outstrips our capacity to store
and share it. Data storage and sharing were major problems during the
early years of the Human Genome project. They continue to pose problems
for any research area that is able to generate massive amounts of information
efficiently and inexpensively. DNA microarray chips can generate 10,000
bits of information with a single, easily conducted test. The logistics
of storing and sharing this information presents a monumental challenge
for everyone engaged in research. Even when researchers want to, it
is not always clear how they should go about collecting, storing, and
sharing data responsibly.
Control.
In large projects, questions frequently arise about the control of data,
particularly when financial interests are at stake. Should researchers
participating in large, multi-site clinical trials have the right to
publish their own findings, that is, retain some control over their
own data, or should the collection, storage, and interpretation be centralized?
This issue is currently unresolved and the subject of intense public
debate.
National
security. Recent events have heightened concerns about
the possible use of data from publicly supported research by terrorists
and nations that could pose a threat to national security. Efforts are
underway to address these concerns through voluntary policies and new
Federal regulations (e.g., USA Patriot Act of 2001) that will assure
reasonable control without unduly restricting the ability of researchers
toshare their work and ideas freely with one another (see the recent
report, Biological
Threats
and Terrorism, Additional Reading). Researchers whose
work could be affected by these concerns should keep abreast of ongoing
policy development and regulation.
However these issues are resolved, researchers have been the most important
component of responsible data management practices in the past and will
likely remain so as long as the public feels the majority of researchers
can be trusted. With this in mind, ask yourself how someone funding
your research would feel if he or she had a chance to take a close look
at your data management practices.