PAGES(Past Global Changes)

"PAGES (Past Global Changes) provides support for the gathering and synthesis of observations, reconstructions, and the modeling of climate, ecosystem, environmental and societal dynamics in the past. We encourage international and interdisciplinary collaboration and seek to promote the involvement of early-career researchers and scientists from low- and middle-income countries. PAGES' scope of interest includes the physical climate system, biogeochemical cycles, ecosystem processes, biodiversity, and human dimensions, on all timescales within paleoscience, including the deep past. Over 5000 scientists from more than 125 countries currently subscribe to PAGES. We encourage all interested scientists to get involved and contribute to our initiatives, participate in the workshops we support, and publish PAGES-relevant products. PAGES also organizes travel stipends for Guest Scientists."

Data and Resources

Additional Info

Field Value
Source https://pastglobalchanges.org/science/data/databases
Last Updated April 12, 2022, 12:35 (UTC)
Created April 6, 2022, 06:51 (UTC)
Country Switzerland
Data Management "Global change research requires a high level of data integration. To advance its goal of accelerating discovery in global paleosciences, PAGES is committed to making data openly available and intelligently reusable, while curtailing the scientific loss of valuable data. PAGES’ Data Stewardship Integrative Activity aims to develop and facilitate leading practices for maximizing the long-term scientific benefit of the data generated as part of all PAGES-related activities, while satisfying PAGES’ obligation to funders. The PAGES Scientific Steering Committee and the International Project Office recognize that data stewardship requires effort. We appreciate the community’s foresight and dedication to these data-availability procedures. If you have any questions or suggestions about them, or if you foresee any problems applying them to research facilitated by PAGES, please email the International Project Office. The importance of openly available, quality-controlled data for assuring the integrity and advancement of science underlies the data policies of scientific journals and research funders, as well as these procedures. PAGES is united with other international scientific organizations in its commitment to making data publicly accessible. In August 2018, PAGES became a Partner Member of the World Data System (WDS), an interdisciplinary body of the International Science Council (formally the International Council for Science). As such, PAGES works with WDS and its fellow members, including NOAA-Paleoclimatology, PANGAEA and Neotoma, to enable access to quality-assured paleoenvironmental data and metadata, ensure long-term data preservation, and promote the development and use of agreed-upon data conventions. PAGES is also an early signatory on the FAIR (findable, accessible, interoperable, and reusable) guiding principles for data stewardship, which builds on the Coalition for Publishing Data in Earth and Space Sciences (COPDESS). PAGES is committed to working with researchers, publishers, and repositories to translate the aspirations of open and useful data from policy into practice. Increased access to data by the community, in turn, supports the synthesis science projects that are essential to PAGES’ mission."
Data Policy "According to FAIR data practices, all essential data, whether generated by the study or input to the study, must be cited using a persistent, unique, machine-readable identifier, usually a DOI (NOAA-Paleoclimatology currently uses URLs), as assigned by a data repository. These ""data citations"" appear in the main text alongside and in the same way as a bibliographic citation, and they are included in the reference section of the paper. Some journals subdivide the reference section into bibliographic citations and data citations, so the two types can be consumed separately by readers and by machines. Data citations track the provenance of a dataset and give credit to the data generator, which might be someone other than the author of an article that interprets the data. For DOIs and datasets that support versioning, include the version identifier (e.g. PAGES 2k temperature database v2.0.0). In the reference section, a data citation includes: Creators, Title, Repository, Identifier, Submission Year. More information about data citations is here and an example is below.According to FAIR Author Guidelines, every publication must include a statement specifying how the underlying data used in and produced by the study can be accessed. For most journals, this information is provided as a separate section (typically titled ""Data Availability"") in which the data citations are gathered and reiterated from the text along with explanations about versions and notes on reuse. We recommend that a manuscript should not be accepted into the review stage by an editor unless it contains a statement dedicated to the availability of the underlying data. ""Data available upon request from the author"" is not considered acceptable as part of a ""Data Availability"" statement. In unusual cases where data access is restricted, authors must explain these restrictions in the Data Availability statement at the time of submission. Such restrictions might be determined by law, institution policies, funder terms, privacy, intellectual property and licensing agreements, or the ethical context of the research. If the data cannot be made fully publicly available, the reasons for the restrictions (e.g. identity disclosure of human subjects) must be specified and the data should still be preserved in a FAIR-compliant repository, with appropriate access and controls in place."
Data Sharing Principle According to FAIR data principles, all essential input data and results that are reported in an article must be available through a community recognized, publicly accessible, long-term data repository. Identifying the "essential data" is not always obvious, and can only be determined in context of the unique contribution of a study. The ideal goal is full reproducibility; all input data, output data, and code should be stored, and should allow others to replicate the published data analyses and to readily compare the outcome with future studies. Guidelines are summarized below; specific examples of open-data implementation can be found in the interactive discussions of papers comprising recent PAGES-led special issues of the journal Climate of the Past, as described here. Importantly, data that are not available publicly are not acceptable as part of publications that acknowledge PAGES. Data and associated metadata should be made available to reviewers when the manuscript is submitted, so reviewers have an opportunity to evaluate the content for possible errors, completeness, and adherence to conventions. Most repositories hold data with restricted access while the associated publication is under review. If a repository does not allow restricted access during review, then the data should be made available to the reviewers directly, and to the repository with adequate time for evaluation prior to publication. Regardless of the specific procedure during the review period, data and metadata, with few exceptions, must be made publicly available concurrently with the publication of an article. We encourage journal editors to not accept a paper for publication until the data have been received and approved by a repository, and its persistent identifier cited within the manuscript (below).Data should be archived digitally in public repositories in accordance with FAIR data principles, as described by the FAIR Author Guidelines. Archiving data through article (digital) supplements does not satisfy the FAIR principles. PAGES’ WDS Partners, including NOAA-Paleoclimatology, PANGAEA and Neotoma, have demonstrated their compliance with international standards for trusted data repositories, as have other discipline-specific repositories allied with paleosciences, including those listed in the Registry of Research Data Repositories (re3data). In contrast to general, non-disciplinary-specific repositories (e.g. FigShare or university-hosted servers), community specific repositories are preferred because they provide a high level of data curation that advances FAIR data principles.
Database Level Project
FIAR Yes
Host Institute PAGES International Project Office
Opening Degree Restricted Open
Organizer University of Bern, Main Building
Region Antarctic and Arctic
Source of Data Policy Own
Theme Comprehensive