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    Data Sharing Profile

    Translatable
    To configure the data sharing profile, you must have one of the following roles:
    • General System Administrator

    Overview

    Emerging technologies have offered libraries and librarians new ways and methods to assess their resources and services to support data-driven decisions. Today’s ability to analyze information across libraries provides a tremendous opportunity to provide all participating libraries new insights and knowledge. Ex Libris is strongly committed to maintaining data privacy and confidentiality in providing libraries with access to advanced assessment and community data analysis needed by libraries to enhance their services and identify changing patterns in user needs.

    Selection and Collection Development

    By opting in, you are agreeing to include anonymized information (holdings, fulfillment statistics, and reading list) from your institution. This data will be used by the various solutions and services that are part of our Higher Education Platform (e.g. Alma, Esploro, Leganto, Rialto etc.) in order to offer your and other institutions rich analytical functionality.

    As we develop features for a more advanced analysis of the community data, you will receive additional functionality in your Alma environment. For example, new widgets will be made available that will be generated based on functionality and information not normally available in Alma.

    For decades libraries harnessed the power of community collaboration to create strong benefits for all. Choosing to include your library’s inventory information as part of the Data Sharing Profile will provide new collection development capabilities and selection reporting for all participating institutions. Libraries that include their inventory information will have access to new, aggregated analyses not possible with a single institution’s data.

    Once you've opted in, a “system job” will be enabled in your Alma environment that identifies the data to be included in the new Collection Development and Selection analysis and ensures the data is anonymized prior to being included with similar data from other participating institutions. This anonymization removes all references to your institution, including all identifiers.

    At any time, you may choose to opt out of this collaboration.  If you do so, all of your data will be removed from the community data and from the Collection Development and Selection analysis and all the related analytical capabilities will be disabled on your Alma environment.

    Frequently Asked Questions

    What data is included if you opt-in? 

    Title level holdings, non-identifiable fulfillment and reading list statistics will be included. The data will be anonymized. There will be no way to identify the source of the anonymized data (i.e. the institution or any individual).

     

    Will personal or financial data be included?

    No personal data of any kind or financial data (funds, orders, invoices etc.) are included in these new analytical capabilities.

     

    Will user data be included?

    Individual users' information--personally identifiable or otherwise--is not part of the data used. For example, usage information comes in the form of loan or electronic access count, wholly decoupled from user information. 

     

    How will my institution data be anonymized?

    Your institution's data will be anonymized prior to being included with similar data from other participating institutions.  This includes obscuring all information linked to your institution, including institution codes and identifiers.  

     

    What is the reasoning behind the request to include our library’s inventory data?

    Community collaboration benefits all members of the community. You experience this concept already in many areas in Alma – e.g. sharing import and export profiles; normalization and other rules; shared community reports in analytics and much more. We are asking you to include your inventory data in order to provide collection development capabilities and selection reports for the benefit of all participating institutions.

     

    If I choose to not opt-in, will I still be able to benefit from these and future new features?

    You need to opt-in and include your anonymized data in order for the system to be able to provide you with these recommendations, widgets, trends and other analytical features that will be developed related to Selection and Collection Development.

     

    I understand that Rialto is a ProQuest product. Is Ex Libris maintaining its commitment to content neutrality?

    Absolutely. Our aim in asking you to include your inventory data is to provide collection development capabilities, selection reports, trending titles by subject and so forth, for the benefit of all participating institutions.

     

    If I include data will I be getting ads to purchase resources from ProQuest?

    No. The anonymization of the data ensures the participating institution could not be identified or approached in any way.

     

    When I look at these new reports and trends will one or more vendors’ content be promoted over content from other vendors?

    Absolutely not. Continuing Ex Libris’ proven and longstanding commitment to develop open, vendor-agnostic products and services (e.g., Summon and Primo), the new analytical features and reports will be both content and vendor-neutral.

     

    Once I've opted-in, can I opt-out?

    Yes.  You can opt-out at any time.  Should you withdraw from including your data, all your data will be removed from the community data and from the Collection Development and Selection analysis. In addition, all the related analytical capabilities will be disabled on your Alma environment.

     

    In a consortium with a Network Zone, if one institution opts in, is there a potential to inadvertently allow access to all of the network members' data?

    NO. When an institution opts in and agrees to share their data, only the specific institution data is shared, not the network's institution or any network member.

    Recommendations

    This service, known as DARA, generates recommendations for your institution to improve efficiency, reduce cost and overhead, and get more out of Alma. The recommendations are produced, among other ways, by comparing your anonymized data to the data of other institutions.  To enable Recommendations, you must select Yes to the Recommendations question. You can choose to not have your anonymized data used for creating recommendations by selecting No to the Recommendations question.
    For more information about DARA, see DARA – Data Analysis Recommendation Assistant.

    Benchmark Analytics

    Benchmark Analytics allows you to create analytics reports comparing the performance of your institution to similar institutions. To do this, Alma collects the anonymized data from your institution. To enable Benchmark analytics you must select Yes to the Benchmark Analytics question. To disable Benchmark analytics, select No. Answer the questions under the General section on this page to create a profile of your institution that Alma uses identify other institutions similar to yours with which to conduct the comparison and provide relevant information.
    If you confirm the use of the anonymized statistical data, all statistical data is anonymized and aggregated and contains no personal data or detailed transaction data. There is no way of identifying this data per institution.  If you do not allow your anonymized statistical data to be aggregated, you will not see any statistical data in Alma Benchmark Analytics .

    If you agree to allow your anonymized statistical data to be aggregated and at a future time you decide to no longer allow your anonymized statistical data to be aggregated, within one month your anonymized statistical data will be removed, and you will no longer see any statistical data in Alma Benchmark Analytics   If you do not agree to allow your anonymized statistical data to be aggregated and at a future time you decide to allow your anonymized statistical data to be aggregated, within one month your anonymized statistical data will be added, and you will be able to take advantage of Alma Benchmark Analytics.

    • The aggregated and anonymized statistical data will be used only within the same regional data center as the institution, and will not be transferred outside the data center.
    • It is not possible to create Alma Benchmark Analytics reports across regional data centers.
    • Institutions that have been live with Alma for less than a year and have agreed to share their anonymized statistical data will be able to use and take advantage of Alma Benchmark Analytics, but their own data will not be shared. Alma Benchmark Analytics will include only data that is at least one year old in order to maintain proper statistical formulas.
     

    Configuration

    Configure the data sharing services at Configuration > General > General Configuration> Data Sharing Profile.
    Data Sharing Profile.png
    Configuring Data Sharing Profile

    The layout of the page above is a preview of the November 2019 release.

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