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The organization <strong>and</strong> f<strong>in</strong>anc<strong>in</strong>g <strong>of</strong> <strong>research</strong> 701<br />

fact that America now st<strong>and</strong>s at <strong>the</strong> threshold <strong>of</strong> what Daniel Bell (1964,<br />

1967), 129,130 follow<strong>in</strong>g Reisman (1958),’7~ has called <strong>the</strong> ‘post-<strong>in</strong>dustrial society’.<br />

American experience suggests that <strong>the</strong> advent <strong>of</strong> post-<strong>in</strong>dustrialism wil <strong>in</strong>crease<br />

<strong>the</strong> degree to which problems concern<strong>in</strong>g ‘quality <strong>of</strong> life’ - <strong>in</strong> all its<br />

aspects - must be confronted. I3I<br />

7. One <strong>in</strong>dication <strong>of</strong> <strong>the</strong> implications for <strong>the</strong> <strong>social</strong> sciences is <strong>the</strong> large sum<br />

be<strong>in</strong>g spent on ‘general purpose scientific data collection’ for economic <strong>and</strong><br />

<strong>social</strong> phenomena, even though that for natural phenomena rema<strong>in</strong>s much<br />

larger. S<strong>in</strong>ce 1962 NSF has separated Federal obligations <strong>in</strong> <strong>the</strong>se two respects.<br />

Some 30% <strong>of</strong> total funds (<strong>in</strong>creased from $220 million <strong>in</strong> 1962 to $381 million<br />

<strong>in</strong> 1967) have been expended on <strong>the</strong> collection <strong>of</strong> economic <strong>and</strong> <strong>social</strong> data.25<br />

This is IO times greater than <strong>the</strong> <strong>social</strong> science share <strong>in</strong> overall R & D. For 1967<br />

<strong>the</strong> <strong>social</strong> science share <strong>of</strong> expenditure on general purpose data collection<br />

stood at $103 million - equal to more than a quarter <strong>of</strong> its allocation under <strong>the</strong><br />

R & D head<strong>in</strong>g. Though only some <strong>of</strong> <strong>the</strong>se data were generated primarily for<br />

<strong>research</strong> purposes <strong>the</strong> figures underl<strong>in</strong>e <strong>the</strong> importance for <strong>the</strong> utilization <strong>of</strong> <strong>the</strong><br />

<strong>social</strong> sciences <strong>of</strong> what <strong>in</strong> France is referred to as ‘<strong>in</strong>formation de As<br />

far as possible such data need to be collected so that <strong>the</strong>y can be used for<br />

<strong>research</strong> purposes.4 Substantial progress has been made <strong>in</strong> this regard <strong>in</strong> <strong>the</strong><br />

us over a wide range <strong>of</strong> Federal statistical programmes.*<br />

8. All this <strong>and</strong> <strong>the</strong> ferment over <strong>social</strong> account<strong>in</strong>g,23 which is related, can only<br />

be understood aga<strong>in</strong>st <strong>the</strong> background <strong>of</strong> developments <strong>in</strong> <strong>the</strong> field <strong>of</strong> computer<br />

archiv<strong>in</strong>g <strong>of</strong> <strong>social</strong> science data. This movement got under way <strong>in</strong> <strong>the</strong> mid-50s<br />

<strong>and</strong> led <strong>in</strong> <strong>the</strong> first round to <strong>the</strong> establishment <strong>of</strong> repositories for <strong>the</strong> raw data<br />

from commercial polls <strong>and</strong> academic sample surveys. The most important <strong>of</strong><br />

<strong>the</strong>se organizations grew out <strong>of</strong> <strong>the</strong> Survey Research Center at <strong>the</strong> University<br />

<strong>of</strong> Michigan. This was <strong>the</strong> Inter-University Consortium, an organization currently<br />

f<strong>in</strong>anced by contributions from some 120 universities <strong>and</strong> by grants from <strong>the</strong><br />

National Science Foundation. This organization not only places survey data<br />

at <strong>the</strong> disposal <strong>of</strong> graduate students <strong>and</strong> <strong>research</strong> workers but has also taken<br />

steps to organize a large archive <strong>of</strong> historical statistics for computer retrieval <strong>and</strong><br />

analysis. Dur<strong>in</strong>g <strong>the</strong> rg60s, economists took similar steps to secure computer<br />

access to <strong>the</strong> vast masses <strong>of</strong> federal statistics. They launched plans for a Federal<br />

Data Center but ran <strong>in</strong>to political difficulties over <strong>the</strong> privacy <strong>of</strong> <strong>in</strong>dividual<br />

records.** The <strong>in</strong>vasion <strong>of</strong> <strong>the</strong> privacy <strong>of</strong> <strong>the</strong> <strong>in</strong>dividual <strong>and</strong> <strong>the</strong> threat to his<br />

liberty if <strong>the</strong> comprehensive centralized data banks are established which <strong>the</strong><br />

computer now makes possible have raised great fears. Yet <strong>the</strong> benefits which<br />

could follow from <strong>the</strong> analysis <strong>of</strong> such data are immense. F<strong>in</strong>d<strong>in</strong>g a solution to<br />

this issue is likely to become a central issue <strong>of</strong> <strong>social</strong> science p01icy.~3,~~<br />

* Vide: The Behavioral Sciences <strong>and</strong> <strong>the</strong> Federal Government, pp. 23-31.’<br />

** For similar developments at <strong>the</strong> <strong>in</strong>ternational level, see <strong>the</strong> chapter by S. Rokkan<br />

above <strong>and</strong> such collections as R. C. MERRITT <strong>and</strong> S. ROKKAN (eds.), Compar<strong>in</strong>g Nutions.’gO

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