liCHi-C Samples of B-ALL

Javierre Lab Data Access Policy for liCHi-C datasets

Thank you for your interest in the datasets generated by the Javierre Lab. To apply for access, please submit a brief research proposal (no more than one page) and a signed Data Access Agreement to bmjavierre@carrerasresearch.org. Your application will then be considered by the Data Access Committee. If successful, you will receive a link to the raw data on EGA for the requested accessions. Who should sign the Data Access Agreement? The immediate users of the data and the principal investigator / lab head should sign “for and on behalf of User”. The user institution’s official contact (typically the Technology Transfer Officer) should sign (and ideally stamp) “for and on behalf of User Institution”. If you have any further questions, please email bmjavierre@carrerasresearch.org. Dataset accession number(s) requested: Research proposal: THE JAVIERRE LAB DATA ACCESS AGREEMENT This agreement governs the terms on which access will be granted through the liCHi-C Data Access Committee (DAC) to liCHi-C data available in the European Genome- phenome Archive (EGA) by the European Bioinformatics Institute, the UK Outstation of the European Molecular Biology Laboratory for and mandated by the members of the Javierre Lab. In signing this agreement, You are agreeing to be bound by the terms and conditions of access set out in this agreement. For the sake of clarity, the terms of access set out in this agreement apply both to the User and the User’s Institution (as defined below). User Institution and User are referred to within the agreement as “You” and “Your” shall be construed accordingly. Definitions: liCHi-C DAC means the low input Capture Hi-C Data Access Committee appointed by the Javierre Lab to manage access to all data submitted by the Javierre Lab to the EGA. Javierre Lab means the group of researchers involved in the generation and analysis of the low input Capture Hi-C dataset described in the manuscript “Low input capture Hi-C (liCHi-C) identifies promoter-enhancer interactions at high-resolution” in submission. EGA means the European Genome-phenome Archive, a permanent archive of controlled access data generated for biomedical research and deposited to enable data sharing. The EGA is described on the website http://www.ebi.ac.ukl/ega. Data means all and any human genetic or phenotype data obtained from the EGA.
 Data Subject means a person, who has been informed of the purpose for which the Data is held and has given his/her informed consent thereto. User means a researcher whose User Institution has previously completed this Data Access Agreement and has received acknowledgement of its acceptance. Publications means, without limitation, articles published in print journals, electronic journals, reviews, books, posters and other written and verbal presentations of research, including social media. User Institution means the organisation at which the User is employed, affiliated or enrolled. Terms and Conditions: In signing this Agreement: 1. You agree to use the Data only for the advancement of medical research and according to the consent obtained from sample donors. 
 2. You agree to preserve, at all times, the confidentiality of information and Data pertaining to Data Subjects. In particular, You undertake not to identify or attempt to identify any Data Subject. 
 3. You agree not to attempt to link the data provided under this agreement to other information or archive data available for the data sets provided, even if access to that data has been formally granted to you, or it is freely available without restriction, without specific permission being sought from the relevant access committees. 4. You agree not to transfer or disclose the Data, in whole or part, or any identifiable material derived from the Data, to others, except as necessary for data/safety monitoring or programme management. Should You wish to share the Data with a collaborator outwith the same Institution, the third party must make a separate application for access to the Data. 
 5. You agree to use the data for the approved purpose and project described in your application; use of the data for a new purpose or project will require a new application and approval. 
 6. You accept that Data will be updated from time to time, with suitable versioning. If the reissue is at the request of sample donors and/or other ethical scrutiny, You will destroy earlier versions of the Data. 
 7. You accept that the liCHi-C DAC, the Javierre Lab, or the funders of the Data or any part of the Data supplied: 
a) bear no legal responsibility for the accuracy or comprehensiveness of the Data; and
 b) accept no liability for indirect, consequential, or incidental, damages or losses arising from use of the Data, or from the unavailability of, or break in access to, the Data for whatever reason. 
 8. You understand and acknowledge that the Data may be protected by copyright and other intellectual property rights, and that duplication, except as reasonably required to carry out Your research with the Data, or sale of all or part of the Data on any media may not be permitted. Users of the data are solely responsible for establishing the nature of and complying with any such intellectual property restrictions. 
 9. You recognise that nothing in this agreement shall operate to transfer to the User Institution any intellectual property rights relating to the Data. The User Institution has the right to develop intellectual property based on comparisons with their own data. 
 10. You accept that this agreement will terminate immediately upon any breach of this agreement by You and You will be required to destroy any Data held. 
 11. You accept that it may be necessary for the Javierre Lab or its appointed agent to alter the terms of this agreement from time to time in order to address new concerns. In this event, the EGA or its appointed agent will contact You to inform You of any changes and You agree that Your continued use of the Data shall be dependent on the parties entering into a new version of the Agreement. 
 12. You agree that you will submit a report to the liCHi-C DAC, if requested, on completion of the agreed purpose. The liCHi-C DAC agrees to treat the report and all information, data, results, and conclusions contained within such report as confidential information belonging to the User Institution. 
 13. You accept that the Data may be protected by and subject to international laws, including but not limited to applicable laws on the protection of personal data, and that You are responsible for ensuring compliance with any such applicable law. You undertake to implement or have implemented adequate technical and organisational security measures to protect Data. The liCHi-C DAC reserves the right to request and inspect data security and management documentation to ensure the adequacy of data protection measures, particularly in countries that have no national laws comparable to those which pertain in the EEA. 
 liCHi-C DAA ver1, May 2022 For and on behalf of User Name of Applicant(s): Signature of Applicant(s): Date: For and on behalf of User Institution Signature of Institutional or Administrative Authority: Print name: User Institution: Date: WHEN SUBMITTING THIS DOCUMENT, PLEASE INCLUDE ALL PAGES OF THE AGREEMENT WITH THIS SIGNATURE PAGE APPENDIX 1 liCHi-C Publications Policy The Javierre Lab anticipates that data generated from the project will be used by others, such as required for developing new analytical methods, in understanding epigenetics, for integrative analysis and for other uses. Authors who use data from the project must acknowledge the Javierre Lab using the following wording "This study makes use of data generated by the Javierre Lab. A full list of the investigators who contributed to the generation of the data is available in “Low input capture Hi-C (liCHi-C) identifies promoter-enhancer interactions at high-resolution” in submission. Users must also cite the primary liCHi-C publication mentioned above. Users should note that the Javierre Lab bears no responsibility for the further analysis or interpretation of these data, over and above that published by the Consortium. liCHi-C DAA ver1, may 2022