Data Management Policy

* All users of BNZ data are obligated to adhere to the BNZ Data Management Policy.

1.0 Policy Governance.

1.1 This policy governs all data collected under the auspices of the NSF BNZ LTER project. This policy has been set by the principal investigator(s) in consensus with other investigators associated with the BNZ LTER. (Additionally, in the future, other policy regarding data management may be set by the LTER executive committee that applies to the LTER network as a whole.)

1.2 The BNZ LTER data manager, as directed by the principal investigator, s responsible for data management policy implementation.

2.0 Use of Data

2.1 Investigators must have a reasonable opportunity to have first use of data that they have collected.

2.2 Investigators are encouraged to make data sets available to the scientific community in a timely fashion. Continuation of investigator support from the LTER program will be contingent upon the investigator contributing well documented data to the LTER database after such time as policy dictates it must be available for additional scientific use.

2.3 The data manager will be responsible for documenting any use of data from the database and refer such use to the investigator who provided the original data. Researchers should receive adequate acknowledgment for the use of their data by others and should be provided with copies of publications using their data. Users of data from the data base must be aware that data is not to be sold or redistributed.

3.0 Citing BNZ Datasets.

3.1 It is considered a matter of professional ethics to acknowledge the work of other scientists. Thus, the Data User will properly cite the Data Set in any publications or in the metadata of any derived data products that were produced using the Data Set.

3.2 Bonanza Creek dataset citation policy is as follows:

Creator(s), Year of Data Publication, Title of Dataset, Publisher, Dataset identifier, Dataset URL, Dataset DOI.

For example:
Van Cleve, Keith; Chapin, F. Stuart; Ruess, Roger W. 2016. Bonanza Creek Experimental Forest: Hourly Temperature (sample, min, max) at 50 cm and 150 cm from 1988 to Present, Bonanza Creek LTER - University of Alaska Fairbanks. BNZ:1, http://www.lter.uaf.edu/data/data-detail/id/1. doi:10.6073/pasta/725db90d86686be13e6d6b2da5d61217.

4.0 Management of LTER data sets.

4.1 Data sets should be carefully documented throughout the process of data collection, correction, aggregation, analysis etc. to provide for the use of data by investigators not originally involved in this process.

4.2 Standard methods of quality assurance and quality control should be used to generate data included in the LTER database. These methods should be clearly documented.

5.0 BNZ LTER Database and Data Catalog.

5.1 A site-wide database will be maintained by data management personnel. Long-term archival storage will be assured for relevant data sets.

5.2 Investigators should document studies for the data catalog as early as practical in the process of collecting data. Study descriptor forms are available for this purpose. It is suggested that the actual data files should be documented once the data set has been analyzed and checked for errors or at the time of publication, as this information is often most up-to-date and available at this time. Datafile descriptor forms are available for this purpose.

5.3 Data will not be accepted for inclusion in the BNZ LTER database unless it is adequately documented.

6.0 Access to Data

6.1 While metadata will be freely available to those requesting it, the data manager will assure that any restrictions on access to data sets in the database will be enforced. Data will not be released without proper permission first being obtained from the investigator who generated the data.

6.2 Data collected with LTER funding should be available in the database even though an investigator is no longer associated with the project through transfer, retirement, disassociation, death etc.

7.0 Status of BNZ LTER data.

Type A. Published data and metadata (data descriptor forms). Policy: These data are available without restriction,from the BNZ LTER database and data catalog, by requesting it from the data manager.

Type B. Baseline and routine data (specifically collected for use by all BNZ LTER investigators). Policy: Initially these data are available for a specific scientific purpose by permission of the investigator who collected them. One year after generation and after the data are in the BNZ LTER database they are available from the data manager upon request.

Type C. Original measurements by individual investigators. Policy: These data are available for a specific scientific purpose by permission of the investigator who collected and generated them. After publication or a period of 2 years from the time of data collection, whichever occurs first, these data will be entered into the LTER database and be made available upon request, by the data manager. Special cases may be honored by the principal investigator(s) where continued access restrictions will apply, if so justified (e.g. long term data collected for a period of greater than 5 years).

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