New Appraisal Techniques: The Effect of Theory on Practice

Archivists are acutely aware of the need for a better framework and new methods to guide the selection of records with enduring value. Whether appraising the current records of government agencies, corporations, colleges or universities, or social organizations, archivists confront a gargantuan task with meager tools. Appraisal theory provides general principles based on a few broad generalizations: the distinction between primary and secondary uses for records; the need to evaluate their evidential and informational values; the notion that organizations ought to preserve a record of their significant policies, procedures, functions, and activities; and the premise that certain levels of the administrative hierarchy are most likely to produce records of permanent value. Although appraisal theory and methods proved valuable for identifying the archival records of the past generation, both the theory and methods are inadequate and inflexible for appraising contemporary records

Documentation evaluation model for social science data

Information technology and data sharing policies have made more and more social science data available for secondary analysis. In secondary data analysis, documentation plays a critical role in transferring knowledge about data from data producers to secondary users. Despite its importance, documentation of social science data has rarely been the focus of existing studies. In this paper, based on an introduction of the concept of documentation and its role in secondary data analysis, the authors proposed the Documentation Evaluation Model(DEM) for social science data. In the model, two indicators are used to evaluate the documentation for social science data: sufficiency and ease-of-use. Then the authors review the sufficiency problems of documentation, identify three factors that affect the sufficiency of documentation: users, data, and the ease-of-use of documentation, and formulate hypotheses about how those factors affect the sufficiency of documentation. In future research, a survey instrument will be created based on the model and the factors affecting the sufficiency of documentation. The survey instrument will then be applied to the secondary users of social science data. Hypotheses will be tested based on the survey data.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/63090/1/1450450223_ftp.pd

On or off the record? Detecting patterns of silence about death in Guatemala’s National Police Archive

This paper investigates how the production of police records was linked to the policies of repression and violence during Guatemala’s civil war. We provide empirical evidence from the Historical Archive of the Guatemalan National Police that the police used language, terminology and codes to record deaths in ways that produced silences about the level of violence during the height of repressive military rule. Using a dataset derived from a statistically valid sample of police records together with qualitative archival analysis, we find evidence of profound changes in the terminology used to record and report on deaths—changes that follow a pattern consistent with the policies of information control and concealment of the three different military regimes that ruled Guatemala between 1978 and 1985. We argue that researchers will need to consider the silences created through the selective use of terminology in documents when using archives to produce historical knowledge. Detecting and intercepting silence will be especially important as state records are increasingly sought in service of ongoing pursuits for truth and justice about past atrocities.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/136091/1/Guberek-Hedstrom-Final-Submission-Jan-2017-title-text.pdfDescription of Guberek-Hedstrom-Final-Submission-Jan-2017-title-text.pdf : Full Text pre-publication versio

Recordkeeping Metadata. Presenting the Results of a Working Meeting

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/41814/1/10502_2004_Article_382965.pd

Digital Preservation: A Time Bomb for Digital Libraries

The difficulty and expense of preservingdigital information is a potential impediment todigital library development. Preservation oftraditional materials became more successful andsystematic after libraries and archives integratedpreservation into overall planning and resourceallocation. Digital preservation is largelyexperimental and replete with the risks associatedwith untested methods. Digital preservationstrategies are shaped by the needs and constraints ofrepositories with little consideration for therequirements of current and future users of digitalscholarly resources. This article discusses thepresent state of digital preservation, articulatesrequirements of both users and custodians, andsuggests research needs in storage media, migration,conversion, and overall management strategies. Additional research in these areas would helpdevelopers of digital libraries and other institutionswith preservation responsibilities to integratelong-term preservation into program planning,administration, system architectures, and resourceallocation.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/42573/1/10579_2004_Article_153071.pd

SEAD: Preserving Data for Environmental Sciences in Areas of Climate, Land-Use, and Environmental Management

NSF Funded DataNet Project #OCI0940824 • SEAD goal is to contribute infrastructure to the NSF DataNet Vision that supports data • Access • Sharing • Reuse • Preservation • Direct work with data at the NSF STC NCED (National Center for Earth-Surface Dynamics

SEAD Virtual Archive: Building a Federation of Institutional Repositories for Long Term Data Preservation

Major research universities are grappling with their response to the deluge of scientific data emerging through research by their faculty. Many are looking to their libraries and the institutional repository as a solution. Scientific data introduces substantial challenges that the document-based institutional repository may not be suited to deal with. The Sustainable Environment - Actionable Data (SEAD) Virtual Archive specifically addresses the challenges of “long tail” scientific data. In this paper, we propose requirements, policy and architecture to support not only the preservation of scientific data today using institutional repositories, but also its rich access and use into the future

SI 655 - Management of Electronic Records, Winter 2009

Records are the corporate and cultural memory that provide proof of actions and decisions, build a knowledge-base for reflection and learning, and form a perspective on today's society that we will pass on to future generations. As organizations create and maintain more of their records electronically, they are struggling to develop effective policies, systems, and practices to capture, maintain, and preserve electronic records.This course examines the ways in which new information technologies challenge organizations' capacities to define, identify, control, manage, and preserve electronic records. Students learn how different organizational, technological, regulatory, and cultural factors affect the strategies, practices, and tools that organizations can employ to manage electronic records. Problems of long-term preservation and continuing access to electronic records are analyzed and addressed. Addresses electronic records management issues in a wide variety of settings, including archives and manuscript repositories.http://deepblue.lib.umich.edu/bitstream/2027.42/78185/5/wallace-hedstrom-si655-winter09-lectures-week11.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/6/wallace-hedstrom-si655-winter09-lectures-week9.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/7/wallace-hedstrom-si655-winter09-lectures-week9.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/8/Wallace-Hedstrom-SI655-Winter09-Lectures-Week6.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/9/Wallace-Hedstrom-SI655-Winter09-Lectures-Week7.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/10/Wallace-Hedstrom-SI655-Winter09-Lectures-Week10.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/11/wallace-hedstrom-si655-winter09-lectures-week3.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/12/wallace-hedstrom-si655-winter09-lectures-week5.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/13/wallace-hedstrom-si655-winter09-lectures-week10.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/14/wallace-hedstrom-si655-winter09-lectures-week6.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/15/Wallace-Hedstrom-SI655-Winter09-Lectures-Week4.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/16/Wallace-Hedstrom-SI655-Winter09-Lectures-Week13.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/17/wallace-hedstrom-si655-winter09-lectures-week2.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/18/Wallace-Hedstrom-SI655-Winter09-Lectures-Week3.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/19/wallace-hedstrom-si655-winter09-lectures-week4.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/20/wallace-hedstrom-si655-winter09-lectures-week13.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/21/wallace-hedstrom-si655-winter09-lectures-week1.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/22/wallace-hedstrom-si655-winter09-lectures-week10.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/23/Wallace-Hedstrom-SI655-Winter09-Lectures-Week11.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/24/Wallace-Hedstrom-SI655-Winter09-Lectures-Week12.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/25/wallace-hedstrom-si655-winter09-lectures-week1.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/26/wallace-hedstrom-si655-winter09-lectures-week6.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/27/wallace-hedstrom-si655-winter09-lectures-week12.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/28/wallace-hedstrom-si655-winter09-lectures-week13.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/29/wallace-hedstrom-si655-winter09-lectures-week9_0.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/30/wallace-hedstrom-si655-winter09-lectures-week2.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/31/wallace-hedstrom-si655-winter09-lectures-week3.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/32/Wallace-Hedstrom-SI655-Winter09-Lectures-Week1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/33/wallace-hedstrom-si655-winter09-lectures-week9_0.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/34/wallace-hedstrom-si655-winter09-lectures-week4.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/35/Wallace-Hedstrom-SI655-Winter09-Lectures-Week2.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/36/Wallace-Hedstrom-SI655-Winter09-Lectures-Week8.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/37/Wallace-Hedstrom-SI655-Winter09-Lectures-Week9.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/38/wallace-hedstrom-si655-winter09-lectures-week11.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/39/wallace-hedstrom-si655-winter09-lectures-week12.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/40/wallace-hedstrom-si655-winter09-lectures-week7.odphttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/41/Wallace-Hedstrom-SI655-Winter09-Lectures-Week5.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/42/wallace-hedstrom-si655-winter09-lectures-week5.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/43/wallace-hedstrom-si655-winter09-lectures-week7.ppthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/44/wallace-hedstrom-si655-winter09-syllabus.odthttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/45/wallace-hedstrom-si655-winter09-syllabus.dochttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/46/wallace-hedstrom-si655-winter09-syllabus.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78185/47/si655-winter2009.zi

How can we save social media data?

The availability and scale of social media data offer researchers new opportunities to leverage those data for their work in broad areas such as public opinion, digital culture, labor trends, public health, and social movements. The success of efforts to save social media data for reuse by researchers will depend on aligning data management and archiving practices with evolving norms around capture, use, sharing, and security of datasets containing this new type of data. This paper presents an initial foray into understanding how established practices for managing and preserving data should adapt to new demands from social media data platforms, researchers who use and reuse social media data, and people who supply social media content and are subjects in social media data. We examine the data management practices of researchers who use social media data in research through a survey of researchers and an analysis d of published articles. We present results from 73 respondents and 40 papers and discuss the data management practices described, how they differ from management of more conventional data types, and the implications for creating and maintaining stable archives for these important research resources. We discuss the similarities and differences between social media data and other types of social science research data, including other types of “found” data, and discuss the implications for data archives wishing to include social media data in their collections.This material is based upon work supported by the National Science Foundation under Grant No. 1822228.https://deepblue.lib.umich.edu/bitstream/2027.42/149013/4/How can we save social media data.pdf1550Description of how can we save social media data.pdf : ManuscriptDescription of How can we save social media data.pdf : Main articl

Developing a Social Media Archive at ICPSR

Social media are implicated in many of contemporary society's most pressing issues, from influencing public opinion, to organizing social movements, and identifying economic trends. Increasing the capacity of researchers to understand the dynamics of such social, behavioral and economic phenomena will depend on reliable, curated, discoverable and accessible social media data. To that end, ICPSR will develop a new archive of curated datasets, workflows, and code for use by social science researchers for the empirical analysis of social media platforms, content, and user behavior. The goal is to provide a user-friendly, large-scale, next-generation data resource for researchers conducting data-intensive research using data from social media platforms such as Facebook, Twitter, Reddit, and Instagram. In our presentation, we will explain SOMAR's goals and structure and discuss opportunities for collaboration.https://deepblue.lib.umich.edu/bitstream/2027.42/143185/1/Developing SOMAR at ICPSR.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/143185/4/SOMAR for WADL.pdf15Description of Developing SOMAR at ICPSR.pdf : Workshop paperDescription of SOMAR for WADL.pdf : Slides from WADL presentatio