UK Data Archive Preservation Policy
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Data and Services Data and Services
Data and services Data and services The UK Data Service provides researchers with flexible research support, training and access to the UK’s largest collection of social, economic and population data. We are a critical part of the UK’s research infrastructure, established to facilitate high quality, impactful research and education across all sectors. We enable researchers, teachers and policy makers to get an in-depth understanding of social and economic issues – and greater insights into tackling social challenges, now and in the future. A partnership of five universities and Jisc, we are funded by the Economic and Social Research Council (ESRC) and the collections of national data resources we provide access to have been built up over 50 years. Our holdings include major UK government-sponsored surveys, longitudinal studies, UK census data, international macrodata, business microdata, cross-national surveys, qualitative data and administrative data. Services that meet Data Assessment your needs We offer significant expertise across ukdataservice.ac.uk the data publishing life cycle, from data appraisal, quality and disclosure risk Teaching assessment, through to preparation The use of real data in coursework and documentation. adds authenticity and relevance to teaching resources and gives students We work closely with data owners to the data analysis skills necessary help triage and share data with the to make significant contributions appropriate governance measures to society. in place. Research We offer data cleaning, rescue and We provide a Trusted Digital Repository data 'archaeology' services, which we for social and economic researchers’ undertake alongside our core data data through our lead partner, the UK preparation activities. -
Digital Data Archive and Preservation in the Cloud – What to Do and What Not to Do 2 © 2013 Storage Networking Industry Association
DigitalPRESENTATION Data Archive TITLE and GOES PreservationHERE in the Cloud - What To Do and What Not To Do Chad Thibodeau / Cleversafe Sebastian Zangaro / HP SNIA Legal Notice The material contained in this tutorial is copyrighted by the SNIA unless otherwise noted. Member companies and individual members may use this material in presentations and literature under the following conditions: Any slide or slides used must be reproduced in their entirety without modification The SNIA must be acknowledged as the source of any material used in the body of any document containing material from these presentations. This presentation is a project of the SNIA Education Committee. Neither the author nor the presenter is an attorney and nothing in this presentation is intended to be, or should be construed as legal advice or an opinion of counsel. If you need legal advice or a legal opinion please contact your attorney. The information presented herein represents the author's personal opinion and current understanding of the relevant issues involved. The author, the presenter, and the SNIA do not assume any responsibility or liability for damages arising out of any reliance on or use of this information. NO WARRANTIES, EXPRESS OR IMPLIED. USE AT YOUR OWN RISK. Digital Data Archive and Preservation in the Cloud – What to do and What Not to Do 2 © 2013 Storage Networking Industry Association. All Rights Reserved. 2 Abstract Cloud Archive Challenges and Best Practices This session will appeal to Storage Vendors, Datacenter Managers, Developers, and those seeking a basic understanding of how best to implement a Cloud Storage Digital Data Archive and Cloud Storage Digital Data Preservation service. -
Comparing Tape and Cloud Storage for Long-Term Data Preservation 1
Comparing Tape and Cloud Storage for Long-Term Data Preservation November 2018 Table of Contents Abstract ......................................................................................................................................................... 2 Introduction .................................................................................................................................................. 2 Perceptions of Leading Edge Technology ..................................................................................................... 2 Reliability ....................................................................................................................................................... 3 Security ......................................................................................................................................................... 4 Speed ............................................................................................................................................................ 5 Storing Data .............................................................................................................................................. 5 Retrieving Data ......................................................................................................................................... 6 Data Growth .................................................................................................................................................. 6 Redundancy ............................................................................................................................................. -
Response by the Polar Data Community to the OGC Request for Information on Arctic Spatial Data
Response to the Open Geospatial Consortium Request for Information on Arctic Spatial Data by the Polar Data Community March 24, 2016 Overview The polar data community welcomes the recent Request for Information (RFI) on Arctic spatial data interoperability and infrastructure issued by the Open Geospatial Consortium (OGC). The OGC’s interest in this topic is timely since, as we will discuss below: . The polar regions are of increasing interest to the whole world as a result of their linkage to global climate systems, opportunities for economic development, geo-political strategic importance, and their environmental importance as homes to Indigenous populations and other residents and sensitive ecosystems. Polar data are required by the scientific community and residents to support research on topics such as climate, atmosphere, land, oceans, ecosystems, ice and snow, permafrost, and social systems; and by the operations community to support impact assessments, engineering design, safe navigation and operations, risk management, emergency response, weather forecasting, and climate change adaptation. These activities contribute to environmental protection, heritage preservation, economic development, safety of life and property, and national sovereignty. The polar data community is well organized and is pursuing activities to improve data management for all of the diverse members of the polar community. Polar data infrastructure is evolving from a system where data are discovered in data catalogues and downloaded to the local machines of users, to a system of distributed data made interoperable using standards and providing users with storage and computational capacity close to large repositories of data. Indigenous Peoples of the Arctic and their representative organizations are increasingly active in using information and communications technologies (ICT) to access data and share their information and knowledge. -
Using Numeric Datasets in Learning and Teaching Final Report, 2002
An enquiry into the use of numeric data in learning & teaching S e p t e m b e r, 2001 Robin Rice (Project Manager) Edinburgh UniversityData Library Peter Burnhill (Project Director) Edinburgh UniversityData Library, EDINA Melanie Wright (Project Te a m ) The UK Data Archive Sean Townsend (Project Te a m ) British Library of Political and Economic Science Part 1: Report and recommendations C o n t e n t s Executive summary 3 Introduction and participants 4 Aims and objectives of the project 5 Nature of the enquiry (or why it matters) 5 Methods used in the enquiry 6 Discussion of results 7 Recommendations and conclusions 17 References 20 Appendix A: Related developments 21 Appendix B: Case studies of current practice 23 Part 2: Teachers’ survey results 4 1 An enquiry into the use of numeric data in learning & teaching page 3 Executive summary Within UK higher education the renewed attention to learning and teaching is an impetus for change. Advances in information technology create new space for learning beyond the traditional classroom lecture format. New initiatives are creating networked teaching materials for shared use across institutions. But little is known about the readiness of teachers and students to take advantage of these resources for teaching and study. Are universities providing the support needed for using these networked resources in classrooms, computer labs, and independent study? An academic Task Force on the use of numeric data in learning and teaching has issued a report on the barriers faced by teachers and students to using national data services across a number of disciplines, including but not limited to the social sciences. -
Backups, Archives & Data Preservation
Protecting Your Data: Backups, Archives & Data Preservation DataONE Community Engagement & Outreach Working Group Lesson Topics Key Digital Preservation Concepts Backups: Things to Consider Data Preservation Recommended Practices Learning Objectives After completing this lesson, the participant will be able to: Define the differences between backups and archiving data Identify significant issues related to data backups Identify why backup plans are important and how they can fit into larger backup procedures Discuss what data preservation covers List several recommended practices The DataONE Data Life Cycle Data Protection, Backups, Archiving, Preservation Differences at a Glance Data Protection Includes topics such as: backups, archives, & preservation; also includes physical security, encryption, and others not addressed here More information about these topics can be found in the “References” section Data Protection, Backups, Archiving, Preservation (continued) Terms “backups” and “archives” are often used interchangeably, but do have different meanings Backups: copies of the original file are made before the original is overwritten Archives: preservation of the file Data Preservation Includes archiving in addition to processes such as data rescue, data reformatting, data conversion, metadata A Closer Look: Backups vs. Archiving Backups Used to take periodic snapshots of data in case the current version is destroyed or lost Backups are copies of files stored for short or near-long-term Often performed on a somewhat frequent schedule -
Skills, Not Just Diplomas
Restoring and sustaining growth in Eastern Europe and Central Asia requires reforms to Managing Education for Results in Eastern EuropeSkills, and Central Not Asia Just Diplomas boost competitiveness and increase labor productivity. Among the required changes are reforms to education. In surveys conducted immediately before the economic crisis, companies in the region reported shortage of skills as one of the most significant bottle- necks in their operations, suggesting that education systems in Eastern Europe and Central Asia— with a reputation for high enrollment rates and well-trained teachers—still need to improve their performance. In fact, international test results show that many students—outside of a handful of coun- tries in the region—are failing to acquire more than the most basic literacy and numeracy skills. Anecdotal evidence also indicates that the rapid expansion in higher education has led to a decline in the quality and relevance of education provided. At the same time, there are few opportunities for adults to retrain, upgrade, or acquire new skills—the life-long learning needed for employability. As Skills, Not Just Diplomas suggests, the shortage of skills is a wake-up call to reform education and training systems to provide higher quality education with the flexibility for students and training institutions to better respond to market signals. Such deep reform will have to center on the following: DIRECTIONSINDEVELOPMENT • Focusing more on measuring whether students learn and graduates find jobs, and Human Development using this information to actively improve teaching and learning. • Using incentives across the education system, including granting greater autonomy to institutions on curriculum, teaching methods, resource use and institutional mission, and increasing accountability for learning. -
Research Data Management in Canada: a Backgrounder
Research Data Management in Canada: A Backgrounder July 18, 2019 Based on a report produced for Innovation, Science and Economic Development (ISED) by the Canadian Association for Research Libraries (CARL), Consortia Advancing Standards in Research Administration Information (CASRAI), Leadership Council for Digital Research Infrastructure (LCDRI), Research Data Canada (RDC). Contributors: David Baker, Donna Bourne-Tyson, Laura Gerlitz, Susan Haigh, Shahira Khair, Mark Leggott, Jeff Moon, Chantel Ridsdale, Robbin Tourangeau, Martha Whitehead DOI: 10.5281/zenodo.3341596 1 Table of Contents Table of Contents Introduction Definitions Background to the Document The Research Lifecycle and RDM Functions Plan Create Process Analyze Disseminate Preserve Reuse Store Discover Document and Curate Secure The Continuum of Research Data Storage Cost Effectiveness Risk Mitigation Regional Talent Development The Impact of Good Research Data Management Growth in Data Production Trends Driving RDM Initiatives Journal publishers Funding Agencies Researchers The Canadian Landscape Local Provincial/Regional National Traditional Knowledge and Ways of Knowing The International Landscape 2 International Other Contributors Challenges and Opportunities Current Opportunities for RDM in Canada What are the Current Challenges for RDM in Canada? A National Vision Vision Principles Goals Selective Bibliography Canadian International United Kingdom United States 3 Introduction Digital research infrastructure is transforming the practice of research by enabling the rapid -
Digital Humanities and Future Archives
Digital Humanities and Future Archives SAMPO VIIRI REPORTS The Finnish Institute is a London-based private trust. Our mission is to identify emerging issues relevant to contemporary society and to act as catalyst for positive social change through partnerships. We work with artists, researchers, experts and policy makers in the United Kingdom, Finland and the Republic of Ireland to promote strong networks in the fields of culture and society. We encourage new and unexpected collaborations and support artistic interventions, research, the creative industries, foresight and social innovation in new, socially central areas. The Reports of the Finnish Institute in Unit 1, 3 York Way N1C 4AE London London is a series of publications, which United Kingdom publishes research, studies and results of T +44(0)20 3764 5090 collaborative projects carried out by the www.finnish-institute.org.uk institute. The reports provide evidence Digital Humanities and Future Archives and ideas for policy-makers and civic by the Finnish Institute in London is society organisations dealing with licensed under a Creative Commons contemporary social and cultural Attribution-ShareAlike 3.0 Unported License challenges. August 2014 Table of Contents Preface Executive Summary 1 Introduction 1 1.1 Objectives 1 1.2 Methods 3 1.3 Defining Digital Humanities 4 2 The Researcher's Perspective 8 2.1 Access to Historical Resources and Public Interest 8 2.2 New Tools and Methods 14 2.3 Sharing and Preserving 19 2.4 Narrowing Gaps and Building Bridges 20 2.5 Measuring the Impacts -
USGS Guidelines for the Preservation of Digital Scientific Data
April 2014 USGS Guidelines for the Preservation of Digital Scientific Data Introduction This document provides guidelines for use by USGS scientists, management, and IT staff in technical evaluation of systems for preserving digital scientific data. These guidelines will assist in selecting, specifying, building, operating, or enhancing data repositories. The USGS Fundamental Science Practices Advisory Committee – Data Preservation Subcommittee developed these guidelines based on material from the Library of Congress-sponsored National Digital Stewardship Alliance (National Digital Stewardship Alliance, 2013). This document does not cover additional non-technical issues such as preservation policies, funding, or organizational competency and longevity, which are critical for data preservation, but beyond the scope of this document. More information about this topic can be found in Trustworthy Repositories Audit & Certification: Criteria and Checklist (OCLC-NARA, 2007)1. When considering how to preserve digital data you should address these questions: • Where are the data stored? • Do you store a copy of the data off-site? • How do you ensure the integrity of the data over time? • What IT security features does USGS require for storing and accessing the data? • What additional IT security features do you need? • What metadata standard should be used to document the data? • What sustainable file formats should be used for long-term storage? • What are the applicable USGS rules regarding record retention periods for the data?2 • Who can you ask for assistance? USGS Digital Science Data Preservation Guidelines Page 1 April 2014 Table Element Definitions Each row in the table below represents a technical element of digital data preservation. • Storage & Geographic Location – Storage systems, locations, and multiple copies to prevent loss of data. -
A Tale of Research Data Management in Practice
A tale of research data management in practice Veerle Van den Eynden UK Data Archive University of Essex Embracing Data Management - Bridging the Gap Between Theory and Practice VLIR-FOSTER seminar Brussels, 4 June 2015 Science advances through data sharing Data used (national surveys): Public Risk Perceptions, Climate Change and the Reframing of UK Energy Policy in Britain, 2005; Public Perceptions of Climate Change and Energy Futures in Britain, 2010; … Society benefits from data sharing Helping researchers manage and share data • Data management = organisation, documentation, storage, safeguarding, preservation and accessibility of data, incl. ethical and legal aspects of data handling and data ownership • Data sharing = release of data for use by other people Why manage research data well ? • Data creation in research is often expensive • Data = cornerstone of research • Data underpin published findings • Good quality data = good quality research • Protect data from loss, destruction,… • Compliance with ethical codes, data protection laws, journal requirements, funder policies Research integrity Openness Boost factors: research funders, EU European open access policies: Horizon 2020, European Research Council (ERC) • communication & recommendation on access to / preservation of scientific information (July 2012) (publications & research data) • pilot on open access to research data, primarily data underlying (open access) scientific publications for Horizon 2020 • data management guidelines for Horizon 2020 (~ policies) generally based on OECD Principles and Guidelines for Access to Research Data fro m Public Funding Boost factors: research funders, UK • Publicly funded research data are a public good, produced in the public interest, that should be made openly available with as few restrictions as possible in a timely and responsible manner that does not harm intellectual property. -
Integrating Dataverse and Archivematica for Research Data Preservation
INTEGRATING DATAVERSE AND ARCHIVEMATICA FOR RESEARCH DATA PRESERVATION Meghan Goodchild Grant Hurley Scholars Portal & Scholars Portal Queen’s University Canada Canada [email protected] [email protected] ORCID 0000-0003-0172-4847 ORCID 0000-0001-7988-8046 Abstract – Scholars Portal sponsored Artefactual province of Ontario, Canada.1 Founded in 2002, Systems Inc. to develop the ability for the Scholars Portal is supported by OCUL members and preservation processing tool Archivematica to receive operated under a service agreement with the packages from Dataverse, a popular tool for University of Toronto Libraries. Our services uploading, curating, and accessing research data. The support both research data management via a integration was released as part of Archivematica 1.8 2 in 2018. This paper situates the integration project in hosted, multi-institutional instance of Dataverse 3 the broader context of research data preservation; and digital preservation services via Permafrost, a describes the scope and history of the project and the hosted Archivematica-based service that pairs with features and functionalities of the current release; the OCUL Ontario Library Research Cloud (OLRC) for and concludes with a discussion of the potential for preservation storage.4 The Dataverse-Archivematica future developments to meet additional use cases, integration project was initially undertaken as a service models and preservation approaches for research initiative to explore how research data research data. preservation aims might functionally be achieved Keywords – research data; Archivematica; using Dataverse and Archivematica together. The preservation pipeline; Dataverse Conference Topics – collaboration; technical results of a proof-of-concept phase were developed infrastructure into a working integration released as part of Archivematica version 1.8 in November 2018.