EOSC EDEN T1.1: Question set for EDEN survey 2025

1 EOSC-EDEN survey on identification, appraisal and selection of digital data for longterm digital preservation. Thank you for completing this short survey on behalf of the EOSC EDEN project! We are keen to understand which you use when working on guidelines and frameworks identification, . We also want to appraisal and selection of research data for long-term digital preservation understand how these guidelines and frameworks inform your in these areas.practice Whether you work in , and whether you are part research, cultural heritage, industry, or another sector of a large organisation or a small team, . The survey is suitable for we would like to hear from you members of in the organisation and does not ask for any sensitive information. Multiple staff at any level responses from the same organisation are welcome. The Informed Consent Statement, including the EU Survey data privacy statement, can be read and downloaded . here By continuing to complete the survey, you are indicating you have read and  You are welcome to complete this survey accept the terms of the Informed Consent Statement. anonymously or to supply your email address, if you wish, at the end of the survey. If you have any questions about the survey, please do not hesitate to contact the task lead, Laura Molloy at: laura [at] codata.org. Thank you for your valuable input! 1. About your organisation and role Your organisation type is: Academic journal publisher Commercial digital preservation service Discipline-agnostic data repository Discipline-specific data repository Museum or gallery National archive National library Non-commercial digital preservation service Non-governmental or intergovernmental organisation Research infrastructure Research performing organisation 2 University library Unlisted: another type of organisation Please specify your organisation type: In which country is your organisation based? Please choose from this list of UN member states. Select 'Other' if your state/country does not appear: Afghanistan Liechtenstein Albania Lithuania Algeria Luxembourg Andorra Madagascar Angola Malawi Antigua and Barbuda Malaysia Argentina Maldives Armenia Mali Australia Malta Austria Marshall Islands Azerbaijan Mauritania Bahamas Mauritius Bahrain Mexico Bangladesh Micronesia Barbados Monaco Belarus Mongolia Belgium Montenegro Belize Morocco Benin Mozambique Bhutan Myanmar Bolivia Namibia Bosnia and Herzegovina Nauru Botswana Nepal Brazil Netherlands Brunei Darussalam New Zealand Bulgaria Nicaragua Burkina Faso Niger Burundi Nigeria Cabo Verde North Korea Cambodia North Macedonia Cameroon Norway Canada Oman Central African Republic Other Chad Pakistan Chile Palau China Panama 3 Colombia Papua New Guinea Comoros Paraguay Congo Peru Costa Rica Philippines Côte D'Ivoire Poland Croatia Portugal Cuba Qatar Cyprus Republic of Moldova Czechia Romania Democratic Republic of the Congo Russian Federation Denmark Rwanda Djibouti Saint Kitts and Nevis Dominica Saint Lucia Dominican Republic Saint Vincent and the Grenadines Ecuador Samoa Egypt San Marino El Salvador Sao Tome and Principe Equatorial Guinea Saudi Arabia Eritrea Senegal Estonia Serbia Eswatini Seychelles Ethiopia Sierra Leone Fiji Singapore Finland Slovakia France Slovenia Gabon Solomon Islands Gambia Somalia Georgia South Africa Germany South Korea Ghana South Sudan Greece Spain Grenada Sri Lanka Guatemala Sudan Guinea Suriname Guinea Bissau Sweden Guyana Switzerland Haiti Syrian Arab Republic Honduras Tajikistan Hungary Tanzania Iceland Thailand India Timor-Leste Indonesia Togo Iran Tonga Iraq Trinidad and Tobago Ireland Tunisia Israel Turkey Italy Turkmenistan 4 Jamaica Tuvalu Japan Uganda Jordan Ukraine Kazakhstan United Arab Emirates Kenya United Kingdom Kiribati United States of America Kuwait Uruguay Kyrgyzstan Uzbekistan Laos Vanuatu Latvia Venezuela Lebanon Viet Nam Lesotho Yemen Liberia Zambia Libya Zimbabwe Please specify your state/country, if not listed: The size of your organisation is: For more information on EU classification of organisation size, please see https://single-market-economy.ec. europa.eu/smes/sme-fundamentals/sme-definition_en Micro (<10 full-time employees or equivalent). Small (11-50 full time employees or equivalent). Medium (51-250 full time employees or equivalent). Large (251+ full time employees or equivalent). Your own role within the organisation is: For more information on Library of Congress Digital Preservation classification of organisational role types, please see: https://digitalpreservation.gov/education/educationneeds.html Senior management (senior manager, senior administrator, executive director, CTO, etc.) Middle management (team manager, section manager, programme manager, etc.) Practitioner (digital archivist, preservation specialist, research data manager, digital curator, data steward, data librarian, etc.) Digital objects of which research discipline(s) are stored by your organisation? Please select as many as apply. For more information on the Fields of Research and Development classification of research areas, please see https://www.oecd.org/en/publications/frascati-manual-2015_9789264239012-en.html Natural sciences Engineering and technology Medical and health sciences Agricultural and veterinary sciences Social sciences Humanities and the arts Generic / no discipline speciality We have a specific interdisciplinary scope. 5 Please specify the disciplines involved in the scope of your interdisciplinary data objects, (e.g. 'Computer science and music'): Areas within natural sciences: Mathematics Computer and information sciences Physical sciences Chemical sciences Earth and related environmental science Biological sciences Other natural sciences Please specify other area(s) of natural sciences: 100 character(s) maximum Areas within engineering and technology: Civil engineering Electrical engineering, electronic engineering, information engineering Mechanical engineering Chemical engineering Materials engineering Medical engineering Environmental engineering Environmental biotechnology Industrial biotechnology Nano-technology Other engineering and technologies Please specify other area(s) of engineering and technologies: 100 character(s) maximum Areas within medical and health sciences: Basic medicine Clinical medicine Health sciences Medical biotechnology Other medical science Please specify other area(s) of medical and health sciences: 100 character(s) maximum 6 Areas within agricultural and veterinary sciences: Agriculture, forestry, and fisheries Animal and dairy science Veterinary science Agricultural biotechnology Other agricultural sciences Please specify other area(s) of agricultural and veterinary sciences: 100 character(s) maximum Areas within social sciences: Psychology and cognitive sciences Economics and business Education Sociology Law Political science Social and economic geography Media and communications Other social sciences Please specify other area(s) of social sciences: 100 character(s) maximum Areas within humanities and the arts: History and archaeology Languages and literature Philosophy, ethics and religion Arts (arts, history of arts, performing arts, music) Other humanities Please specify other area(s) of humanities and the arts: 100 character(s) maximum Please add anything more you want to say about your organisation and role. 300 character(s) maximum 7 2. About frameworks and guidelines for identification, appraisal and selection of data for long-term digital preservation In this section, we discover more about frameworks and guidelines dealing withidentification, appraisal that you may have heard of or use.and selection of data for long-term digital preservation Frameworks and guidelines onidentification, appraisal and selection of data for long-term digital preservation - those I have heard of, and those I use: Heard of, and currently use Heard of but do not currently use Have not heard of a. CCSDS 653.0-M-1: Information Preparation to enable Long-Term Use b. Collection development policy/statement/strategy c. CoreTrustSeal certification d. DIN 31644 Information and documentation - Criteria for trustworthy digital archives e. EOSC Task Force on Long Term Data Preservation - Recommendations and assertions f. Institutional preservation policy g. ISO 18492 Long-term preservation of electronic document-based information h. ISO 19005 Electronic document file format for longterm preservation i. ISO 15489 Information and documentation -- Records management j. ISO 14721 OAIS reference model k. ISO 16363 Audit and certification of trustworthy digital repositories l. ISO/IEC 27001 Information technology -- Security techniques -- Information security management systems m. NDSA Digital Curation Decision Guide n. PREMIS 8 o. The FAIR Guiding Principles for scientific data management and stewardship p. Unlisted: Other framework or guideline Other "long-term" digital preservation framework or guideline you have heard of or use: 300 character(s) maximum Please supply a link to the institutional preservation policy that you have heard of or use: Please supply a link to the collection development policy/statement/strategy that you have heard of, or use: In your organisation, do you have an agreed or working definition of "long-term" in the context of digital preservation? Yes No What is your agreed or working definition of "long-term"? 400 character(s) maximum Where did your agreed or working definition of "long-term" originate? (Example responses are, "Our organisation wrote an original definition", or "From standard ".)x 300 character(s) maximum Is there a specific reason that you don't currently have an agreed or working definition of "long-term" in the context of digital preservation? We have not yet achieved consensus on a definition. We don't need one as we do not do "long-term" preservation. A definition is planned or in progress. Other reason. Please specify the other reason that you do not currently have an agreed or working definition of "longterm" in the context of digital preservation. 200 character(s) maximum 9 3. About current practices in identification, appraisal and selection of data for long-term digital preservation How do digital data objects for preservation usually enter your organisation? Please select as many responses as appropriate. Self-deposit by researcher on a voluntary basis. Funder-mandated deposit by researcher (e.g. policy-driven; funding agency requirements). Deposit as a result of proactive monitoring: depositors are identified and invited to submit their data. Deposit as a result of proactive monitoring: harvesting of data objects. Parent-organisation deposit (e.g. repository is part of a research institution). Third party data preservation collaboration (e.g. preservation-as-a-service). I don't know. Other - please specify. Please specify other pathways by which digital data objects enter your organisation: 400 character(s) maximum Do you assess the quality of digital data objects at the point of ingest for "long-term" preservation? Please select as many responses as appropriate. Yes for technical quality of the data (e.g. correct rendering, conforming to standard specifications). Yes for content/information quality of the data (e.g. authenticity, uniqueness, reliability, completeness). Yes for the quality of technical metadata (e.g. format, resolution, MD5 checksum). Yes for the quality of descriptive metadata (e.g. creator, subject, description, research theme). Yes for the quality of administrative metadata (e.g. rights, licenses, access conditions). No. I don't know. Which quality assessments do you undertake to assess the technical quality of the data? a. Integrity checking b. File format identification c. File format validation d. Opening data with software / visual inspection e. Virus checking f. Normalisation / migration g. Other Please specify which other actions you take to assess the technical quality of the data: 400 character(s) maximum Which quality assessments do you undertake to assess the content/information quality of the data? Compliance with scientific best-practices Originality